diff --git a/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_yelp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_yelp_pipeline_en.md
new file mode 100644
index 00000000000000..34137fdde2b597
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+++ b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_yelp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_yelp_pipeline pipeline DistilBertForSequenceClassification from vinhanguyen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_yelp_pipeline
+date: 2024-09-05
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_yelp_pipeline` is a English model originally trained by vinhanguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_yelp_pipeline_en_5.5.0_3.0_1725579974379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_yelp_pipeline_en_5.5.0_3.0_1725579974379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_yelp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_yelp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_yelp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vinhanguyen/distilbert-base-uncased-finetuned-yelp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_navnitan_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_navnitan_en.md
new file mode 100644
index 00000000000000..e39234091ce5c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_navnitan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_navnitan DistilBertForTokenClassification from navnitan
+author: John Snow Labs
+name: burmese_awesome_wnut_model_navnitan
+date: 2024-09-07
+tags: [en, open_source, onnx, token_classification, distilbert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_navnitan` is a English model originally trained by navnitan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_navnitan_en_5.5.0_3.0_1725729691315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_navnitan_en_5.5.0_3.0_1725729691315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_navnitan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/navnitan/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline_en.md
new file mode 100644
index 00000000000000..853e17899b736d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline pipeline MarianTransformer from pien-27
+author: John Snow Labs
+name: finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline` is a English model originally trained by pien-27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline_en_5.5.0_3.0_1725747946611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline_en_5.5.0_3.0_1725747946611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_english_tonga_tonga_islands_vietnamese_pien_27_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.9 MB|
+
+## References
+
+https://huggingface.co/pien-27/finetuned-en-to-vi
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_margin_5_epoch_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_margin_5_epoch_1_pipeline_en.md
new file mode 100644
index 00000000000000..1284949f980884
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_margin_5_epoch_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_margin_5_epoch_1_pipeline pipeline MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_v2_margin_5_epoch_1_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_base_v2_margin_5_epoch_1_pipeline` is a English model originally trained by luiz-and-robert-thesis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_margin_5_epoch_1_pipeline_en_5.5.0_3.0_1725815956427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_margin_5_epoch_1_pipeline_en_5.5.0_3.0_1725815956427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_margin_5_epoch_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_margin_5_epoch_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_margin_5_epoch_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/luiz-and-robert-thesis/all-mpnet-base-v2-margin-5-epoch-1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-customersentiment_en.md b/docs/_posts/ahmedlone127/2024-09-08-customersentiment_en.md
new file mode 100644
index 00000000000000..3a659df843adba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-customersentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English customersentiment DistilBertForSequenceClassification from kearney
+author: John Snow Labs
+name: customersentiment
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`customersentiment` is a English model originally trained by kearney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/customersentiment_en_5.5.0_3.0_1725777151848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/customersentiment_en_5.5.0_3.0_1725777151848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_patrikrac|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/patrikrac/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-final_model1_en.md b/docs/_posts/ahmedlone127/2024-09-08-final_model1_en.md
new file mode 100644
index 00000000000000..8b4975752fd0a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-final_model1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English final_model1 DistilBertForSequenceClassification from sachit56
+author: John Snow Labs
+name: final_model1
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_model1` is a English model originally trained by sachit56.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_model1_en_5.5.0_3.0_1725774746342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_model1_en_5.5.0_3.0_1725774746342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_model1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sachit56/final_model1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline_en.md
new file mode 100644
index 00000000000000..d5f0a56c0fcf41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline pipeline MarianTransformer from bill1888
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline` is a English model originally trained by bill1888.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline_en_5.5.0_3.0_1725766387220.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline_en_5.5.0_3.0_1725766387220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_bill1888_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|510.3 MB|
+
+## References
+
+https://huggingface.co/bill1888/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tiny_bert_0102_6500_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-tiny_bert_0102_6500_pipeline_en.md
new file mode 100644
index 00000000000000..aab897e219d12f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tiny_bert_0102_6500_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tiny_bert_0102_6500_pipeline pipeline AlbertForSequenceClassification from gg-ai
+author: John Snow Labs
+name: tiny_bert_0102_6500_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_0102_6500_pipeline` is a English model originally trained by gg-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_0102_6500_pipeline_en_5.5.0_3.0_1725923814558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_0102_6500_pipeline_en_5.5.0_3.0_1725923814558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_bert_0102_6500_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_bert_0102_6500_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_0102_6500_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|20.5 MB|
+
+## References
+
+https://huggingface.co/gg-ai/tiny-bert-0102-6500
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline_en.md
new file mode 100644
index 00000000000000..07a16155b900c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline pipeline XlmRoBertaForTokenClassification from solvaysphere
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline` is a English model originally trained by solvaysphere.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline_en_5.5.0_3.0_1725922273945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline_en_5.5.0_3.0_1725922273945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_solvaysphere_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/solvaysphere/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline_en.md
new file mode 100644
index 00000000000000..83cb9f54ec61fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline pipeline DistilBertEmbeddings from AlaGrine
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline` is a English model originally trained by AlaGrine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline_en_5.5.0_3.0_1725995850664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline_en_5.5.0_3.0_1725995850664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_whole_word_masking_alagrine_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/AlaGrine/distilbert-base-uncased-finetuned-imdb-whole-word-masking
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline_en.md
new file mode 100644
index 00000000000000..6d9416ec740a98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline_en_5.5.0_3.0_1725984057950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline_en_5.5.0_3.0_1725984057950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.9 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline_en.md
new file mode 100644
index 00000000000000..728aa497609c66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline pipeline MPNetEmbeddings from antonkirk
+author: John Snow Labs
+name: retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline` is a English model originally trained by antonkirk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline_en_5.5.0_3.0_1725936451753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline_en_5.5.0_3.0_1725936451753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|retrieval_mpnet_dot_finetuned_llama3_synthetic_dataset_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/antonkirk/retrieval-mpnet-dot-finetuned-llama3-synthetic-dataset
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-test_false_positive_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-test_false_positive_2_pipeline_en.md
new file mode 100644
index 00000000000000..5760cc16ae3647
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-test_false_positive_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English test_false_positive_2_pipeline pipeline MPNetEmbeddings from witty-works
+author: John Snow Labs
+name: test_false_positive_2_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_false_positive_2_pipeline` is a English model originally trained by witty-works.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_false_positive_2_pipeline_en_5.5.0_3.0_1725936743903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_false_positive_2_pipeline_en_5.5.0_3.0_1725936743903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_false_positive_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_false_positive_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_false_positive_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/witty-works/test_false_positive_2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train_en.md
new file mode 100644
index 00000000000000..27bf83d80c547a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train_en_5.5.0_3.0_1726003610201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_seed42_original_kinyarwanda_amh_eng_train_en_5.5.0_3.0_1726003610201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_employment_contract_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|da|
+|Size:|798.1 MB|
+
+## References
+
+References
+
+- https://huggingface.co/saattrupdan/employment-contract-ner-da
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_banking_1_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_banking_1_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..3a8be89d0266b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_banking_1_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_banking_1_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_banking_1_16_5_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_banking_1_16_5_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_1_16_5_pipeline_en_5.5.0_3.0_1726060856197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_1_16_5_pipeline_en_5.5.0_3.0_1726060856197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_banking_1_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_banking_1_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_banking_1_16_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-banking-1-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad_en.md
new file mode 100644
index 00000000000000..f0a291ac2558a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726058540470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726058540470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_2_5m_aochildes_french_with_masking_seed3_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-aochildes_2.5M_aochildes-french-with-Masking-seed3-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_kjh97_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_kjh97_pipeline_en.md
new file mode 100644
index 00000000000000..f18a0a6735e10b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_kjh97_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_kjh97_pipeline pipeline RoBertaForQuestionAnswering from KJH97
+author: John Snow Labs
+name: burmese_awesome_qa_model_kjh97_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_kjh97_pipeline` is a English model originally trained by KJH97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_kjh97_pipeline_en_5.5.0_3.0_1726055879861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_kjh97_pipeline_en_5.5.0_3.0_1726055879861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_kjh97_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_kjh97_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_kjh97_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/KJH97/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-custommodel_finance_sentiment_analytics_en.md b/docs/_posts/ahmedlone127/2024-09-11-custommodel_finance_sentiment_analytics_en.md
new file mode 100644
index 00000000000000..aa8491bbb7f2b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-custommodel_finance_sentiment_analytics_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English custommodel_finance_sentiment_analytics RoBertaForSequenceClassification from WillWEI0103
+author: John Snow Labs
+name: custommodel_finance_sentiment_analytics
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`custommodel_finance_sentiment_analytics` is a English model originally trained by WillWEI0103.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custommodel_finance_sentiment_analytics_en_5.5.0_3.0_1726022221653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custommodel_finance_sentiment_analytics_en_5.5.0_3.0_1726022221653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_arabic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/asafaya/bert-large-arabic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-angela_shuffle_tokens_regular_eval_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-angela_shuffle_tokens_regular_eval_pipeline_en.md
new file mode 100644
index 00000000000000..ce4b064ce0410f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-angela_shuffle_tokens_regular_eval_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English angela_shuffle_tokens_regular_eval_pipeline pipeline XlmRoBertaForTokenClassification from azhang1212
+author: John Snow Labs
+name: angela_shuffle_tokens_regular_eval_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`angela_shuffle_tokens_regular_eval_pipeline` is a English model originally trained by azhang1212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/angela_shuffle_tokens_regular_eval_pipeline_en_5.5.0_3.0_1726164969915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/angela_shuffle_tokens_regular_eval_pipeline_en_5.5.0_3.0_1726164969915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("angela_shuffle_tokens_regular_eval_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("angela_shuffle_tokens_regular_eval_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|angela_shuffle_tokens_regular_eval_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/azhang1212/angela_shuffle_tokens_regular_eval
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-bert_csat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-bert_csat_pipeline_en.md
new file mode 100644
index 00000000000000..6c154b80537845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-bert_csat_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_csat_pipeline pipeline DistilBertForSequenceClassification from MoaazZaki
+author: John Snow Labs
+name: bert_csat_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_csat_pipeline` is a English model originally trained by MoaazZaki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_csat_pipeline_en_5.5.0_3.0_1726100663141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_csat_pipeline_en_5.5.0_3.0_1726100663141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_csat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_csat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_csat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MoaazZaki/bert-csat
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_qnli_256_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_qnli_256_en.md
new file mode 100644
index 00000000000000..3f704ee7a1d093
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_qnli_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_qnli_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_qnli_256
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_qnli_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_qnli_256_en_5.5.0_3.0_1726100100380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_qnli_256_en_5.5.0_3.0_1726100100380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_qnli_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_qnli_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-helsinki_nlp_korean_english_base_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-helsinki_nlp_korean_english_base_test_pipeline_en.md
new file mode 100644
index 00000000000000..da2f5cf89ac813
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-helsinki_nlp_korean_english_base_test_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helsinki_nlp_korean_english_base_test_pipeline pipeline MarianTransformer from dalzza
+author: John Snow Labs
+name: helsinki_nlp_korean_english_base_test_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_nlp_korean_english_base_test_pipeline` is a English model originally trained by dalzza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_nlp_korean_english_base_test_pipeline_en_5.5.0_3.0_1726168077854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_nlp_korean_english_base_test_pipeline_en_5.5.0_3.0_1726168077854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helsinki_nlp_korean_english_base_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helsinki_nlp_korean_english_base_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_nlp_korean_english_base_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.0 MB|
+
+## References
+
+https://huggingface.co/dalzza/helsinki-nlp-ko-en-base-test
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-icelandic_there_aragonese_allergy_bert_first512_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-icelandic_there_aragonese_allergy_bert_first512_pipeline_en.md
new file mode 100644
index 00000000000000..ff1236082af8b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-icelandic_there_aragonese_allergy_bert_first512_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English icelandic_there_aragonese_allergy_bert_first512_pipeline pipeline BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: icelandic_there_aragonese_allergy_bert_first512_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`icelandic_there_aragonese_allergy_bert_first512_pipeline` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/icelandic_there_aragonese_allergy_bert_first512_pipeline_en_5.5.0_3.0_1726182670516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/icelandic_there_aragonese_allergy_bert_first512_pipeline_en_5.5.0_3.0_1726182670516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("icelandic_there_aragonese_allergy_bert_first512_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("icelandic_there_aragonese_allergy_bert_first512_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|icelandic_there_aragonese_allergy_bert_first512_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/etadevosyan/is_there_an_allergy_bert_First512
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-iwslt17_marian_big_ctx4_cwd0_english_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-iwslt17_marian_big_ctx4_cwd0_english_french_pipeline_en.md
new file mode 100644
index 00000000000000..7c72f01db1b801
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-iwslt17_marian_big_ctx4_cwd0_english_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English iwslt17_marian_big_ctx4_cwd0_english_french_pipeline pipeline MarianTransformer from context-mt
+author: John Snow Labs
+name: iwslt17_marian_big_ctx4_cwd0_english_french_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iwslt17_marian_big_ctx4_cwd0_english_french_pipeline` is a English model originally trained by context-mt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iwslt17_marian_big_ctx4_cwd0_english_french_pipeline_en_5.5.0_3.0_1726161779380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iwslt17_marian_big_ctx4_cwd0_english_french_pipeline_en_5.5.0_3.0_1726161779380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("iwslt17_marian_big_ctx4_cwd0_english_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("iwslt17_marian_big_ctx4_cwd0_english_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iwslt17_marian_big_ctx4_cwd0_english_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/context-mt/iwslt17-marian-big-ctx4-cwd0-en-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-redo_norwegian_delete_5e_5_hausa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-redo_norwegian_delete_5e_5_hausa_pipeline_en.md
new file mode 100644
index 00000000000000..a0be91a2aa0dc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-redo_norwegian_delete_5e_5_hausa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English redo_norwegian_delete_5e_5_hausa_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: redo_norwegian_delete_5e_5_hausa_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`redo_norwegian_delete_5e_5_hausa_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/redo_norwegian_delete_5e_5_hausa_pipeline_en_5.5.0_3.0_1726131820807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/redo_norwegian_delete_5e_5_hausa_pipeline_en_5.5.0_3.0_1726131820807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("redo_norwegian_delete_5e_5_hausa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("redo_norwegian_delete_5e_5_hausa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|redo_norwegian_delete_5e_5_hausa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/redo_no_delete_5e-5_hausa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-sent_turkish_small_bert_uncased_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-12-sent_turkish_small_bert_uncased_pipeline_tr.md
new file mode 100644
index 00000000000000..1b7c1c4e7eb64c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-sent_turkish_small_bert_uncased_pipeline_tr.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Turkish sent_turkish_small_bert_uncased_pipeline pipeline BertSentenceEmbeddings from ytu-ce-cosmos
+author: John Snow Labs
+name: sent_turkish_small_bert_uncased_pipeline
+date: 2024-09-12
+tags: [tr, open_source, pipeline, onnx]
+task: Embeddings
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_turkish_small_bert_uncased_pipeline` is a Turkish model originally trained by ytu-ce-cosmos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_turkish_small_bert_uncased_pipeline_tr_5.5.0_3.0_1726119337304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_turkish_small_bert_uncased_pipeline_tr_5.5.0_3.0_1726119337304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_turkish_small_bert_uncased_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_turkish_small_bert_uncased_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_turkish_small_bert_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|110.4 MB|
+
+## References
+
+https://huggingface.co/ytu-ce-cosmos/turkish-small-bert-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_squad_likhith231_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_squad_likhith231_en.md
new file mode 100644
index 00000000000000..0696367d9e15c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_squad_likhith231_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_likhith231 DistilBertForQuestionAnswering from likhith231
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_likhith231
+date: 2024-09-13
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_likhith231` is a English model originally trained by likhith231.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_likhith231_en_5.5.0_3.0_1726245491731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_likhith231_en_5.5.0_3.0_1726245491731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_likhith231|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/likhith231/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-finetuned_sail2017_additionalpretrained_indic_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-finetuned_sail2017_additionalpretrained_indic_bert_pipeline_en.md
new file mode 100644
index 00000000000000..6c67992fe950f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-finetuned_sail2017_additionalpretrained_indic_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_sail2017_additionalpretrained_indic_bert_pipeline pipeline AlbertForSequenceClassification from aditeyabaral
+author: John Snow Labs
+name: finetuned_sail2017_additionalpretrained_indic_bert_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sail2017_additionalpretrained_indic_bert_pipeline` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sail2017_additionalpretrained_indic_bert_pipeline_en_5.5.0_3.0_1726188305415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sail2017_additionalpretrained_indic_bert_pipeline_en_5.5.0_3.0_1726188305415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_sail2017_additionalpretrained_indic_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_sail2017_additionalpretrained_indic_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sail2017_additionalpretrained_indic_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|127.8 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/finetuned-sail2017-additionalpretrained-indic-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-horai_medium_10k_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-horai_medium_10k_v4_pipeline_en.md
new file mode 100644
index 00000000000000..97675d78927d9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-horai_medium_10k_v4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English horai_medium_10k_v4_pipeline pipeline RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_10k_v4_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`horai_medium_10k_v4_pipeline` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_10k_v4_pipeline_en_5.5.0_3.0_1726187577444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_10k_v4_pipeline_en_5.5.0_3.0_1726187577444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("horai_medium_10k_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("horai_medium_10k_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_10k_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.9 MB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-medium-10k-V4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-job_compatibility_model_en.md b/docs/_posts/ahmedlone127/2024-09-13-job_compatibility_model_en.md
new file mode 100644
index 00000000000000..94ec588d337f0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-job_compatibility_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English job_compatibility_model DistilBertForSequenceClassification from DaJulster
+author: John Snow Labs
+name: job_compatibility_model
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`job_compatibility_model` is a English model originally trained by DaJulster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/job_compatibility_model_en_5.5.0_3.0_1726262430661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/job_compatibility_model_en_5.5.0_3.0_1726262430661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_small_turkish_clean_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|tr|
+|Size:|222.3 MB|
+
+## References
+
+https://huggingface.co/burakaytan/roberta-small-turkish-clean-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_rubiobert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-sent_rubiobert_pipeline_en.md
new file mode 100644
index 00000000000000..b0ca1f71e84fb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_rubiobert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_rubiobert_pipeline pipeline BertSentenceEmbeddings from alexyalunin
+author: John Snow Labs
+name: sent_rubiobert_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_rubiobert_pipeline` is a English model originally trained by alexyalunin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_rubiobert_pipeline_en_5.5.0_3.0_1726246257329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_rubiobert_pipeline_en_5.5.0_3.0_1726246257329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_rubiobert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_rubiobert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_rubiobert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.7 MB|
+
+## References
+
+https://huggingface.co/alexyalunin/RuBioBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-whisper_small_swahili_jayem_11_en.md b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_swahili_jayem_11_en.md
new file mode 100644
index 00000000000000..f8f98e6644d3c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_swahili_jayem_11_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_swahili_jayem_11 WhisperForCTC from Jayem-11
+author: John Snow Labs
+name: whisper_small_swahili_jayem_11
+date: 2024-09-13
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_swahili_jayem_11` is a English model originally trained by Jayem-11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_swahili_jayem_11_en_5.5.0_3.0_1726219179545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_swahili_jayem_11_en_5.5.0_3.0_1726219179545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_swahili_jayem_11|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Jayem-11/whisper-small-swahili
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_tokenizer_en.md b/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_tokenizer_en.md
new file mode 100644
index 00000000000000..dfabdb96a55268
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_tokenizer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_tokenizer BertForTokenClassification from alban12
+author: John Snow Labs
+name: bert_finetuned_ner_tokenizer
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_tokenizer` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tokenizer_en_5.5.0_3.0_1726305583884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tokenizer_en_5.5.0_3.0_1726305583884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_tokenizer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.6 MB|
+
+## References
+
+https://huggingface.co/alban12/bert-finetuned-ner-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-combined_model_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-combined_model_v1_pipeline_en.md
new file mode 100644
index 00000000000000..bbf89f2dcc77ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-combined_model_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English combined_model_v1_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: combined_model_v1_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`combined_model_v1_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/combined_model_v1_pipeline_en_5.5.0_3.0_1726316018766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/combined_model_v1_pipeline_en_5.5.0_3.0_1726316018766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("combined_model_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("combined_model_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|combined_model_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/Combined_model_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline_en.md
new file mode 100644
index 00000000000000..b50d1e65dda75f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline pipeline RoBertaEmbeddings from ietz
+author: John Snow Labs
+name: distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline` is a English model originally trained by ietz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline_en_5.5.0_3.0_1726338244439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline_en_5.5.0_3.0_1726338244439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/ietz/distilroberta-base-finetuned-jira-qt-issue-titles-and-bodies
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-medical_english_chinese_9_1_pt2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-medical_english_chinese_9_1_pt2_pipeline_en.md
new file mode 100644
index 00000000000000..9c7615e752bdb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-medical_english_chinese_9_1_pt2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English medical_english_chinese_9_1_pt2_pipeline pipeline MarianTransformer from DogGoesBark
+author: John Snow Labs
+name: medical_english_chinese_9_1_pt2_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical_english_chinese_9_1_pt2_pipeline` is a English model originally trained by DogGoesBark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_english_chinese_9_1_pt2_pipeline_en_5.5.0_3.0_1726351419793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_english_chinese_9_1_pt2_pipeline_en_5.5.0_3.0_1726351419793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medical_english_chinese_9_1_pt2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medical_english_chinese_9_1_pt2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_english_chinese_9_1_pt2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.9 MB|
+
+## References
+
+https://huggingface.co/DogGoesBark/medical_en_zh_9_1_pt2
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_ner_deid_roberta_i2b2_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_ner_deid_roberta_i2b2_en.md
new file mode 100644
index 00000000000000..84b3d690777319
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_ner_deid_roberta_i2b2_en.md
@@ -0,0 +1,122 @@
+---
+layout: model
+title: English RobertaForTokenClassification Cased model (from obi)
+author: John Snow Labs
+name: roberta_ner_deid_roberta_i2b2
+date: 2024-09-14
+tags: [bert, ner, open_source, en, onnx, openvino]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RobertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deid_roberta_i2b2` is a English model originally trained by `obi`.
+
+## Predicted Entities
+
+`DATE`, `L-AGE`, `U-PATIENT`, `L-STAFF`, `U-OTHERPHI`, `U-ID`, `EMAIL`, `U-LOC`, `L-HOSP`, `L-PATIENT`, `PATIENT`, `PHONE`, `U-PHONE`, `L-OTHERPHI`, `HOSP`, `L-PATORG`, `AGE`, `U-EMAIL`, `L-ID`, `U-HOSP`, `U-AGE`, `OTHERPHI`, `LOC`, `ID`, `U-DATE`, `L-DATE`, `U-PATORG`, `L-PHONE`, `STAFF`, `L-EMAIL`, `PATORG`, `U-STAFF`, `L-LOC`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ner_deid_roberta_i2b2_en_5.5.0_3.0_1726298204413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ner_deid_roberta_i2b2_en_5.5.0_3.0_1726298204413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ner_deid_roberta_i2b2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[token, document]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+
+## References
+
+References
+
+References
+
+- https://huggingface.co/obi/deid_roberta_i2b2
+- https://arxiv.org/pdf/1907.11692.pdf
+- https://github.com/obi-ml-public/ehr_deidentification/tree/master/steps/train
+- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978170/
+- https://www.hhs.gov/hipaa/for-professionals/privacy/laws-regulations/index.html
+- https://github.com/obi-ml-public/ehr_deidentification
+- https://github.com/obi-ml-public/ehr_deidentification/tree/master/steps/forward_pass
+- https://github.com/obi-ml-public/ehr_deidentification/blob/master/AnnotationGuidelines.md
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-tse_albert_5e_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-tse_albert_5e_pipeline_en.md
new file mode 100644
index 00000000000000..55fbecfd2aa06f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-tse_albert_5e_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tse_albert_5e_pipeline pipeline AlbertForSequenceClassification from pig4431
+author: John Snow Labs
+name: tse_albert_5e_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tse_albert_5e_pipeline` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tse_albert_5e_pipeline_en_5.5.0_3.0_1726336234917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tse_albert_5e_pipeline_en_5.5.0_3.0_1726336234917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tse_albert_5e_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tse_albert_5e_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tse_albert_5e_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/pig4431/TSE_ALBERT_5E
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-twitter_roberta_base_mar2022_15m_incr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-twitter_roberta_base_mar2022_15m_incr_pipeline_en.md
new file mode 100644
index 00000000000000..f7ccc4a790e3dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-twitter_roberta_base_mar2022_15m_incr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_mar2022_15m_incr_pipeline pipeline RoBertaEmbeddings from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_mar2022_15m_incr_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_mar2022_15m_incr_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_mar2022_15m_incr_pipeline_en_5.5.0_3.0_1726300024881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_mar2022_15m_incr_pipeline_en_5.5.0_3.0_1726300024881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_mar2022_15m_incr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_mar2022_15m_incr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_mar2022_15m_incr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-mar2022-15M-incr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_indonesian_cahya_id.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_indonesian_cahya_id.md
new file mode 100644
index 00000000000000..f8722b2dfb9a2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_indonesian_cahya_id.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Indonesian whisper_small_indonesian_cahya WhisperForCTC from cahya
+author: John Snow Labs
+name: whisper_small_indonesian_cahya
+date: 2024-09-14
+tags: [id, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_cahya` is a Indonesian model originally trained by cahya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_cahya_id_5.5.0_3.0_1726321577596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_cahya_id_5.5.0_3.0_1726321577596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_cahya|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/cahya/whisper-small-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_wearecoding_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_wearecoding_pipeline_en.md
new file mode 100644
index 00000000000000..6c70fade2b1b4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_wearecoding_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_wearecoding_pipeline pipeline DistilBertForQuestionAnswering from wearecoding
+author: John Snow Labs
+name: burmese_awesome_qa_model_wearecoding_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_wearecoding_pipeline` is a English model originally trained by wearecoding.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wearecoding_pipeline_en_5.5.0_3.0_1726382846787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wearecoding_pipeline_en_5.5.0_3.0_1726382846787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_wearecoding_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_wearecoding_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_wearecoding_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/wearecoding/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_fituned_clinc_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_fituned_clinc_en.md
new file mode 100644
index 00000000000000..d090c34d1b3549
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_fituned_clinc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_fituned_clinc DistilBertForSequenceClassification from Takeshi10Days
+author: John Snow Labs
+name: distilbert_base_uncased_fituned_clinc
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fituned_clinc` is a English model originally trained by Takeshi10Days.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fituned_clinc_en_5.5.0_3.0_1726394190213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fituned_clinc_en_5.5.0_3.0_1726394190213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fituned_clinc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Takeshi10Days/distilbert-base-uncased-fituned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_sanju2u_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_sanju2u_pipeline_en.md
new file mode 100644
index 00000000000000..f4d504a3401e63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_sanju2u_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_sanju2u_pipeline pipeline DistilBertForSequenceClassification from sanju2u
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_sanju2u_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sanju2u_pipeline` is a English model originally trained by sanju2u.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sanju2u_pipeline_en_5.5.0_3.0_1726394012126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sanju2u_pipeline_en_5.5.0_3.0_1726394012126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_sanju2u_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_sanju2u_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_sanju2u_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sanju2u/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-schem_roberta_demographic_text_disagreement_predictor_en.md b/docs/_posts/ahmedlone127/2024-09-15-schem_roberta_demographic_text_disagreement_predictor_en.md
new file mode 100644
index 00000000000000..316024af12cdcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-schem_roberta_demographic_text_disagreement_predictor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English schem_roberta_demographic_text_disagreement_predictor RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: schem_roberta_demographic_text_disagreement_predictor
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`schem_roberta_demographic_text_disagreement_predictor` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/schem_roberta_demographic_text_disagreement_predictor_en_5.5.0_3.0_1726401504408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/schem_roberta_demographic_text_disagreement_predictor_en_5.5.0_3.0_1726401504408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_kannada_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|kn|
+|Size:|890.5 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/kannada-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-test_rrrrrrrita_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-test_rrrrrrrita_pipeline_en.md
new file mode 100644
index 00000000000000..620016743feed3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-test_rrrrrrrita_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_rrrrrrrita_pipeline pipeline DistilBertForSequenceClassification from Rrrrrrrita
+author: John Snow Labs
+name: test_rrrrrrrita_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_rrrrrrrita_pipeline` is a English model originally trained by Rrrrrrrita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_rrrrrrrita_pipeline_en_5.5.0_3.0_1726366512741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_rrrrrrrita_pipeline_en_5.5.0_3.0_1726366512741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_rrrrrrrita_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_rrrrrrrita_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_rrrrrrrita_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Rrrrrrrita/test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-albert_finetuned_tweet_eval_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-albert_finetuned_tweet_eval_pipeline_en.md
new file mode 100644
index 00000000000000..bcce8ff176c55b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-albert_finetuned_tweet_eval_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_finetuned_tweet_eval_pipeline pipeline AlbertForSequenceClassification from iaminhridoy
+author: John Snow Labs
+name: albert_finetuned_tweet_eval_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_finetuned_tweet_eval_pipeline` is a English model originally trained by iaminhridoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_finetuned_tweet_eval_pipeline_en_5.5.0_3.0_1726523516421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_finetuned_tweet_eval_pipeline_en_5.5.0_3.0_1726523516421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_finetuned_tweet_eval_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_finetuned_tweet_eval_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_finetuned_tweet_eval_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/iaminhridoy/AlBert-finetuned-Tweet_Eval
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bankstatementmodelver7_en.md b/docs/_posts/ahmedlone127/2024-09-16-bankstatementmodelver7_en.md
new file mode 100644
index 00000000000000..da84ae506f5d94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bankstatementmodelver7_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bankstatementmodelver7 RoBertaForQuestionAnswering from Souvik123
+author: John Snow Labs
+name: bankstatementmodelver7
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bankstatementmodelver7` is a English model originally trained by Souvik123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bankstatementmodelver7_en_5.5.0_3.0_1726460637592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bankstatementmodelver7_en_5.5.0_3.0_1726460637592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bankstatementmodelver7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/Souvik123/bankstatementmodelver7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-consumerresponseclassifier_en.md b/docs/_posts/ahmedlone127/2024-09-16-consumerresponseclassifier_en.md
new file mode 100644
index 00000000000000..b7fb72798ae52c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-consumerresponseclassifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English consumerresponseclassifier RoBertaForSequenceClassification from ahaanlimaye
+author: John Snow Labs
+name: consumerresponseclassifier
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`consumerresponseclassifier` is a English model originally trained by ahaanlimaye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/consumerresponseclassifier_en_5.5.0_3.0_1726504833456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/consumerresponseclassifier_en_5.5.0_3.0_1726504833456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|consumerresponseclassifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.9 MB|
+
+## References
+
+https://huggingface.co/ahaanlimaye/ConsumerResponseClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline_en.md
new file mode 100644
index 00000000000000..d6db063017b38a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline pipeline MarianTransformer from tkoyama
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline` is a English model originally trained by tkoyama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline_en_5.5.0_3.0_1726494320116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline_en_5.5.0_3.0_1726494320116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/tkoyama/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-suicide_distilbert_2_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-suicide_distilbert_2_5_pipeline_en.md
new file mode 100644
index 00000000000000..4c363dfe8a0456
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-suicide_distilbert_2_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English suicide_distilbert_2_5_pipeline pipeline DistilBertForSequenceClassification from cuadron11
+author: John Snow Labs
+name: suicide_distilbert_2_5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`suicide_distilbert_2_5_pipeline` is a English model originally trained by cuadron11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/suicide_distilbert_2_5_pipeline_en_5.5.0_3.0_1726506828788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/suicide_distilbert_2_5_pipeline_en_5.5.0_3.0_1726506828788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("suicide_distilbert_2_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("suicide_distilbert_2_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|suicide_distilbert_2_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cuadron11/suicide-distilbert-2-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_spanish_zuazo_es.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_spanish_zuazo_es.md
new file mode 100644
index 00000000000000..810bb03c69ba72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_spanish_zuazo_es.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Castilian, Spanish whisper_tiny_spanish_zuazo WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_tiny_spanish_zuazo
+date: 2024-09-16
+tags: [es, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_spanish_zuazo` is a Castilian, Spanish model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_spanish_zuazo_es_5.5.0_3.0_1726486380554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_spanish_zuazo_es_5.5.0_3.0_1726486380554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_spanish_zuazo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|es|
+|Size:|390.5 MB|
+
+## References
+
+https://huggingface.co/zuazo/whisper-tiny-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-withinapps_ndd_addressbook_test_content_tags_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-16-withinapps_ndd_addressbook_test_content_tags_cwadj_en.md
new file mode 100644
index 00000000000000..40eb154f68cf8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-withinapps_ndd_addressbook_test_content_tags_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_addressbook_test_content_tags_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_addressbook_test_content_tags_cwadj
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_addressbook_test_content_tags_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_addressbook_test_content_tags_cwadj_en_5.5.0_3.0_1726525645004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_addressbook_test_content_tags_cwadj_en_5.5.0_3.0_1726525645004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_addressbook_test_content_tags_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-addressbook_test-content_tags-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_francois2511_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_francois2511_en.md
new file mode 100644
index 00000000000000..e203e8eaf5b381
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_francois2511_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_francois2511 XlmRoBertaForTokenClassification from Francois2511
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_francois2511
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_francois2511` is a English model originally trained by Francois2511.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_francois2511_en_5.5.0_3.0_1726496995627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_francois2511_en_5.5.0_3.0_1726496995627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_francois2511|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/Francois2511/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-discourse_prediction__basic_en.md b/docs/_posts/ahmedlone127/2024-09-17-discourse_prediction__basic_en.md
new file mode 100644
index 00000000000000..3c8c9ee47d2e5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-discourse_prediction__basic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English discourse_prediction__basic AlbertForSequenceClassification from alex2awesome
+author: John Snow Labs
+name: discourse_prediction__basic
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discourse_prediction__basic` is a English model originally trained by alex2awesome.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discourse_prediction__basic_en_5.5.0_3.0_1726600650802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discourse_prediction__basic_en_5.5.0_3.0_1726600650802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discourse_prediction__basic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|834.0 MB|
+
+## References
+
+https://huggingface.co/alex2awesome/discourse-prediction__basic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_german_cased_v1_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_german_cased_v1_en.md
new file mode 100644
index 00000000000000..2c95f404a20dda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_german_cased_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_german_cased_v1 DistilBertForSequenceClassification from mserloth
+author: John Snow Labs
+name: distilbert_base_german_cased_v1
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_v1` is a English model originally trained by mserloth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_v1_en_5.5.0_3.0_1726584885995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_v1_en_5.5.0_3.0_1726584885995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_german_cased_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.5 MB|
+
+## References
+
+https://huggingface.co/mserloth/distilbert-base-german-cased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline_en.md
new file mode 100644
index 00000000000000..00c7defa756117
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline pipeline DistilBertForSequenceClassification from seddiktrk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline` is a English model originally trained by seddiktrk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline_en_5.5.0_3.0_1726584489371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline_en_5.5.0_3.0_1726584489371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_seddiktrk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/seddiktrk/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..d99c4418fcd646
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline_en_5.5.0_3.0_1726593761649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline_en_5.5.0_3.0_1726593761649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge17_simsp400_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut1_PLPrefix0stlarge17_simsp400_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p70_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p70_en.md
new file mode 100644
index 00000000000000..8867ba8eaa8785
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p70_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p70 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p70
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p70` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p70_en_5.5.0_3.0_1726575072029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p70_en_5.5.0_3.0_1726575072029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p70|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|155.3 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p70
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_albert_tweets_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_albert_tweets_pipeline_en.md
new file mode 100644
index 00000000000000..0f9a9302d38215
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_albert_tweets_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_albert_tweets_pipeline pipeline AlbertForSequenceClassification from imsarfaroz
+author: John Snow Labs
+name: fine_tuned_albert_tweets_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_albert_tweets_pipeline` is a English model originally trained by imsarfaroz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_albert_tweets_pipeline_en_5.5.0_3.0_1726614199582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_albert_tweets_pipeline_en_5.5.0_3.0_1726614199582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_albert_tweets_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_albert_tweets_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_albert_tweets_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/imsarfaroz/fine-tuned-albert-tweets
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-interlingua_multilingual_transliterated_roberta_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-17-interlingua_multilingual_transliterated_roberta_pipeline_xx.md
new file mode 100644
index 00000000000000..34fc4bc2aab69a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-interlingua_multilingual_transliterated_roberta_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual interlingua_multilingual_transliterated_roberta_pipeline pipeline RoBertaEmbeddings from ibm
+author: John Snow Labs
+name: interlingua_multilingual_transliterated_roberta_pipeline
+date: 2024-09-17
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interlingua_multilingual_transliterated_roberta_pipeline` is a Multilingual model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interlingua_multilingual_transliterated_roberta_pipeline_xx_5.5.0_3.0_1726595983328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interlingua_multilingual_transliterated_roberta_pipeline_xx_5.5.0_3.0_1726595983328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("interlingua_multilingual_transliterated_roberta_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("interlingua_multilingual_transliterated_roberta_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|interlingua_multilingual_transliterated_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|638.6 MB|
+
+## References
+
+https://huggingface.co/ibm/ia-multilingual-transliterated-roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..025ceb0fe8146e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline pipeline MarianTransformer from Pinkky
+author: John Snow Labs
+name: marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline` is a English model originally trained by Pinkky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline_en_5.5.0_3.0_1726582050985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline_en_5.5.0_3.0_1726582050985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_gw_chinese_tonga_tonga_islands_english_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.8 MB|
+
+## References
+
+https://huggingface.co/Pinkky/marian-finetuned-gw-zh-to-en-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_en.md
new file mode 100644
index 00000000000000..5913d48474e17f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue MarianTransformer from kingxue
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue` is a English model originally trained by kingxue.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_en_5.5.0_3.0_1726599033403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue_en_5.5.0_3.0_1726599033403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_kingxue|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.3 MB|
+
+## References
+
+https://huggingface.co/kingxue/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline_en.md
new file mode 100644
index 00000000000000..5b0fd34dfc906d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline pipeline MarianTransformer from maaaaaa1
+author: John Snow Labs
+name: opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline` is a English model originally trained by maaaaaa1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline_en_5.5.0_3.0_1726533358971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline_en_5.5.0_3.0_1726533358971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_maaaaaa1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.6 MB|
+
+## References
+
+https://huggingface.co/maaaaaa1/opus-mt-en-es-finetuned-en-to-es
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_parlbert_german_law_de.md b/docs/_posts/ahmedlone127/2024-09-17-sent_parlbert_german_law_de.md
new file mode 100644
index 00000000000000..d3207bebb2ea98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_parlbert_german_law_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German sent_parlbert_german_law BertSentenceEmbeddings from InfAI
+author: John Snow Labs
+name: sent_parlbert_german_law
+date: 2024-09-17
+tags: [de, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_parlbert_german_law` is a German model originally trained by InfAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_parlbert_german_law_de_5.5.0_3.0_1726607250426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_parlbert_german_law_de_5.5.0_3.0_1726607250426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_parlbert_german_law|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/InfAI/parlbert-german-law
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-translator_italian_english_en.md b/docs/_posts/ahmedlone127/2024-09-17-translator_italian_english_en.md
new file mode 100644
index 00000000000000..5e578e277b69fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-translator_italian_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English translator_italian_english MarianTransformer from zaneas
+author: John Snow Labs
+name: translator_italian_english
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`translator_italian_english` is a English model originally trained by zaneas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translator_italian_english_en_5.5.0_3.0_1726582222863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translator_italian_english_en_5.5.0_3.0_1726582222863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translator_italian_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|625.0 MB|
+
+## References
+
+https://huggingface.co/zaneas/translator_IT_EN
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_vtlustos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_vtlustos_pipeline_en.md
new file mode 100644
index 00000000000000..11fffcb2e19308
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_vtlustos_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_vtlustos_pipeline pipeline WhisperForCTC from vtlustos
+author: John Snow Labs
+name: whisper_base_vtlustos_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_vtlustos_pipeline` is a English model originally trained by vtlustos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_vtlustos_pipeline_en_5.5.0_3.0_1726568333577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_vtlustos_pipeline_en_5.5.0_3.0_1726568333577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_vtlustos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_vtlustos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_vtlustos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.7 MB|
+
+## References
+
+https://huggingface.co/vtlustos/whisper-base
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_vietmed_free_e3_11_pipeline_vi.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_vietmed_free_e3_11_pipeline_vi.md
new file mode 100644
index 00000000000000..6f2c074894baf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_vietmed_free_e3_11_pipeline_vi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Vietnamese whisper_small_vietmed_free_e3_11_pipeline pipeline WhisperForCTC from Hanhpt23
+author: John Snow Labs
+name: whisper_small_vietmed_free_e3_11_pipeline
+date: 2024-09-17
+tags: [vi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: vi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_vietmed_free_e3_11_pipeline` is a Vietnamese model originally trained by Hanhpt23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_vietmed_free_e3_11_pipeline_vi_5.5.0_3.0_1726565568518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_vietmed_free_e3_11_pipeline_vi_5.5.0_3.0_1726565568518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_vietmed_free_e3_11_pipeline", lang = "vi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_vietmed_free_e3_11_pipeline", lang = "vi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_vietmed_free_e3_11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|vi|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/Hanhpt23/whisper-small-vietmed-free_E3-11
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline_en.md
new file mode 100644
index 00000000000000..ea291a5160934d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline pipeline XlmRoBertaForTokenClassification from param-mehta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline` is a English model originally trained by param-mehta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline_en_5.5.0_3.0_1726577136893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline_en_5.5.0_3.0_1726577136893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_param_mehta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|849.3 MB|
+
+## References
+
+https://huggingface.co/param-mehta/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_anas1997_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_anas1997_pipeline_en.md
new file mode 100644
index 00000000000000..0e48de9c162dc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_anas1997_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_anas1997_pipeline pipeline XlmRoBertaForTokenClassification from Anas1997
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_anas1997_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_anas1997_pipeline` is a English model originally trained by Anas1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_anas1997_pipeline_en_5.5.0_3.0_1726611175679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_anas1997_pipeline_en_5.5.0_3.0_1726611175679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_anas1997_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_anas1997_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_anas1997_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/Anas1997/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train_en.md
new file mode 100644
index 00000000000000..db525bc34b1e91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train_en_5.5.0_3.0_1726616327412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train_en_5.5.0_3.0_1726616327412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr2e_05_seed42_kinyarwanda_amh_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|802.9 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr2e-05_seed42_kin-amh-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_finetuned_emojis_cen_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_finetuned_emojis_cen_2_pipeline_en.md
new file mode 100644
index 00000000000000..4d9c116a28dba3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_finetuned_emojis_cen_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_finetuned_emojis_cen_2_pipeline pipeline XlmRoBertaForSequenceClassification from Karim-Gamal
+author: John Snow Labs
+name: xlm_roberta_finetuned_emojis_cen_2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_finetuned_emojis_cen_2_pipeline` is a English model originally trained by Karim-Gamal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_cen_2_pipeline_en_5.5.0_3.0_1726536719294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_cen_2_pipeline_en_5.5.0_3.0_1726536719294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_finetuned_emojis_cen_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_finetuned_emojis_cen_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_finetuned_emojis_cen_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Karim-Gamal/XLM-Roberta-finetuned-emojis-cen-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-1104_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-1104_pipeline_en.md
new file mode 100644
index 00000000000000..bdf8866f90c39e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-1104_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 1104_pipeline pipeline DistilBertForSequenceClassification from tingchih
+author: John Snow Labs
+name: 1104_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1104_pipeline` is a English model originally trained by tingchih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1104_pipeline_en_5.5.0_3.0_1726625528138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1104_pipeline_en_5.5.0_3.0_1726625528138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("1104_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("1104_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|1104_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tingchih/1104
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-berit_2000_enriched_optimized_en.md b/docs/_posts/ahmedlone127/2024-09-18-berit_2000_enriched_optimized_en.md
new file mode 100644
index 00000000000000..6db665e18e1557
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-berit_2000_enriched_optimized_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English berit_2000_enriched_optimized RoBertaEmbeddings from gngpostalsrvc
+author: John Snow Labs
+name: berit_2000_enriched_optimized
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berit_2000_enriched_optimized` is a English model originally trained by gngpostalsrvc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berit_2000_enriched_optimized_en_5.5.0_3.0_1726678777982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berit_2000_enriched_optimized_en_5.5.0_3.0_1726678777982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berit_2000_enriched_optimized|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.9 MB|
+
+## References
+
+https://huggingface.co/gngpostalsrvc/BERiT_2000_enriched_optimized
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_qqp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_qqp_pipeline_en.md
new file mode 100644
index 00000000000000..6c6b47d1129b99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_qqp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_qqp_pipeline pipeline BertForSequenceClassification from WillHeld
+author: John Snow Labs
+name: bert_base_cased_qqp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_qqp_pipeline` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_qqp_pipeline_en_5.5.0_3.0_1726623676136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_qqp_pipeline_en_5.5.0_3.0_1726623676136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_qqp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_qqp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_qqp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/WillHeld/bert-base-cased-qqp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_sklug_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_sklug_pipeline_en.md
new file mode 100644
index 00000000000000..570f48b889f3a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_sklug_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_sklug_pipeline pipeline DistilBertForSequenceClassification from sklug
+author: John Snow Labs
+name: burmese_awesome_model_sklug_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_sklug_pipeline` is a English model originally trained by sklug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sklug_pipeline_en_5.5.0_3.0_1726630283720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sklug_pipeline_en_5.5.0_3.0_1726630283720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_sklug_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_sklug_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_sklug_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sklug/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-clasificadormotivomora10_en.md b/docs/_posts/ahmedlone127/2024-09-18-clasificadormotivomora10_en.md
new file mode 100644
index 00000000000000..eb4334f4ce8aca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-clasificadormotivomora10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clasificadormotivomora10 RoBertaForSequenceClassification from Arodrigo
+author: John Snow Labs
+name: clasificadormotivomora10
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificadormotivomora10` is a English model originally trained by Arodrigo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificadormotivomora10_en_5.5.0_3.0_1726627794340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificadormotivomora10_en_5.5.0_3.0_1726627794340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificadormotivomora10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/Arodrigo/ClasificadorMotivoMora10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-clinicalbertqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-clinicalbertqa_pipeline_en.md
new file mode 100644
index 00000000000000..7545282372533f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-clinicalbertqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English clinicalbertqa_pipeline pipeline BertForQuestionAnswering from lanzv
+author: John Snow Labs
+name: clinicalbertqa_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinicalbertqa_pipeline` is a English model originally trained by lanzv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicalbertqa_pipeline_en_5.5.0_3.0_1726667918468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicalbertqa_pipeline_en_5.5.0_3.0_1726667918468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clinicalbertqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clinicalbertqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalbertqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/lanzv/ClinicalBERTQA
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr24_seed1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr24_seed1_pipeline_en.md
new file mode 100644
index 00000000000000..4b5c7fae850890
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr24_seed1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_itr24_seed1_pipeline pipeline RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr24_seed1_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr24_seed1_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr24_seed1_pipeline_en_5.5.0_3.0_1726628210809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr24_seed1_pipeline_en_5.5.0_3.0_1726628210809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_itr24_seed1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_itr24_seed1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr24_seed1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr24-seed1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_enneagram_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_enneagram_pipeline_en.md
new file mode 100644
index 00000000000000..717347c3f530e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_enneagram_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_enneagram_pipeline pipeline DistilBertForSequenceClassification from LandersonMiguel
+author: John Snow Labs
+name: distilbert_base_uncased_enneagram_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_enneagram_pipeline` is a English model originally trained by LandersonMiguel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_enneagram_pipeline_en_5.5.0_3.0_1726669989474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_enneagram_pipeline_en_5.5.0_3.0_1726669989474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_enneagram_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_enneagram_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_enneagram_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LandersonMiguel/distilbert-base-uncased-enneagram
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline_en.md
new file mode 100644
index 00000000000000..dc51c4c43aa8fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline pipeline DistilBertForSequenceClassification from cheng-cherry
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline` is a English model originally trained by cheng-cherry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline_en_5.5.0_3.0_1726681591363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline_en_5.5.0_3.0_1726681591363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_cheng_cherry_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/cheng-cherry/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_santosale_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_santosale_pipeline_en.md
new file mode 100644
index 00000000000000..5d6f0b8afb6d96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_santosale_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_santosale_pipeline pipeline DistilBertForSequenceClassification from santosale
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_santosale_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_santosale_pipeline` is a English model originally trained by santosale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_santosale_pipeline_en_5.5.0_3.0_1726676766725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_santosale_pipeline_en_5.5.0_3.0_1726676766725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_santosale_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_santosale_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_santosale_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/santosale/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline_en.md
new file mode 100644
index 00000000000000..bd863e97dcc143
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline pipeline DistilBertForSequenceClassification from arvindsinghmanhas
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline` is a English model originally trained by arvindsinghmanhas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline_en_5.5.0_3.0_1726680412193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline_en_5.5.0_3.0_1726680412193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arvindsinghmanhas/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_helloyeew_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_helloyeew_en.md
new file mode 100644
index 00000000000000..37f39938f0cf22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_helloyeew_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_helloyeew DistilBertForSequenceClassification from helloyeew
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_helloyeew
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_helloyeew` is a English model originally trained by helloyeew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_helloyeew_en_5.5.0_3.0_1726696432771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_helloyeew_en_5.5.0_3.0_1726696432771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_helloyeew|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/helloyeew/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ujjwalgarg_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ujjwalgarg_en.md
new file mode 100644
index 00000000000000..a1a953843fccfd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ujjwalgarg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ujjwalgarg DistilBertForSequenceClassification from ujjwalgarg
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ujjwalgarg
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ujjwalgarg` is a English model originally trained by ujjwalgarg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ujjwalgarg_en_5.5.0_3.0_1726695150871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ujjwalgarg_en_5.5.0_3.0_1726695150871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_simon580803|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Simon580803/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline_en.md
new file mode 100644
index 00000000000000..89805e18d56d24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline pipeline DistilBertForQuestionAnswering from sanghakoh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline` is a English model originally trained by sanghakoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline_en_5.5.0_3.0_1726640697607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline_en_5.5.0_3.0_1726640697607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_sanghakoh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/sanghakoh/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..d02c70cd67226d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726680433504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726680433504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st10sd_ut72ut1large10PfxNf_simsp400_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_en.md
new file mode 100644
index 00000000000000..26b29d7b36529c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726681925088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726681925088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st1sd_ut12ut1_plprefix0stlarge_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st1sd_ut12ut1_PLPrefix0stlarge_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_bberken_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_bberken_en.md
new file mode 100644
index 00000000000000..1c7873a6afb5ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_bberken_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_bberken DistilBertForSequenceClassification from bberken
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_bberken
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bberken` is a English model originally trained by bberken.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bberken_en_5.5.0_3.0_1726680609942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bberken_en_5.5.0_3.0_1726680609942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_bberken|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bberken/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_social_media_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_social_media_en.md
new file mode 100644
index 00000000000000..136cf5a66e4e50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_social_media_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_social_media DistilBertForSequenceClassification from MariaChzhen
+author: John Snow Labs
+name: finetuning_sentiment_model_social_media
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_social_media` is a English model originally trained by MariaChzhen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_social_media_en_5.5.0_3.0_1726625253472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_social_media_en_5.5.0_3.0_1726625253472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_social_media|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MariaChzhen/finetuning-sentiment-model-social-media
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finnews_sentimentanalysis_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finnews_sentimentanalysis_v3_pipeline_en.md
new file mode 100644
index 00000000000000..4d71f04cf68fce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finnews_sentimentanalysis_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finnews_sentimentanalysis_v3_pipeline pipeline DistilBertForSequenceClassification from ZephyruSalsify
+author: John Snow Labs
+name: finnews_sentimentanalysis_v3_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finnews_sentimentanalysis_v3_pipeline` is a English model originally trained by ZephyruSalsify.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finnews_sentimentanalysis_v3_pipeline_en_5.5.0_3.0_1726681580654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finnews_sentimentanalysis_v3_pipeline_en_5.5.0_3.0_1726681580654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finnews_sentimentanalysis_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finnews_sentimentanalysis_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finnews_sentimentanalysis_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/ZephyruSalsify/FinNews_SentimentAnalysis_v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-mrlincolnberta_en.md b/docs/_posts/ahmedlone127/2024-09-18-mrlincolnberta_en.md
new file mode 100644
index 00000000000000..a3db79bc219652
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-mrlincolnberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mrlincolnberta RoBertaEmbeddings from BigSalmon
+author: John Snow Labs
+name: mrlincolnberta
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mrlincolnberta` is a English model originally trained by BigSalmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mrlincolnberta_en_5.5.0_3.0_1726651329667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mrlincolnberta_en_5.5.0_3.0_1726651329667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mrlincolnberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/BigSalmon/MrLincolnBerta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_epoch_73_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_epoch_73_pipeline_en.md
new file mode 100644
index 00000000000000..7eb2c18a84429e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_epoch_73_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_73_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_73_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_73_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_73_pipeline_en_5.5.0_3.0_1726651997394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_73_pipeline_en_5.5.0_3.0_1726651997394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_73_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_73_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_73_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_73
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_pretrained_marathi_marh_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_pretrained_marathi_marh_2_pipeline_en.md
new file mode 100644
index 00000000000000..eb3d6b881d95a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_pretrained_marathi_marh_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_pretrained_marathi_marh_2_pipeline pipeline RoBertaEmbeddings from DeadBeast
+author: John Snow Labs
+name: roberta_base_pretrained_marathi_marh_2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_pretrained_marathi_marh_2_pipeline` is a English model originally trained by DeadBeast.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_pretrained_marathi_marh_2_pipeline_en_5.5.0_3.0_1726651640689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_pretrained_marathi_marh_2_pipeline_en_5.5.0_3.0_1726651640689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_pretrained_marathi_marh_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_pretrained_marathi_marh_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_pretrained_marathi_marh_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/DeadBeast/roberta-base-pretrained-mr-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_english_annualreport_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_english_annualreport_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..e230b55f16cffe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_english_annualreport_tuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_english_annualreport_tuned_pipeline pipeline RoBertaEmbeddings from CCCCC5
+author: John Snow Labs
+name: roberta_english_annualreport_tuned_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_english_annualreport_tuned_pipeline` is a English model originally trained by CCCCC5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_english_annualreport_tuned_pipeline_en_5.5.0_3.0_1726678865481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_english_annualreport_tuned_pipeline_en_5.5.0_3.0_1726678865481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_english_annualreport_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_english_annualreport_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_english_annualreport_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|425.5 MB|
+
+## References
+
+https://huggingface.co/CCCCC5/RoBERTa_English_AnnualReport_tuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_mrqa_v2_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_mrqa_v2_en.md
new file mode 100644
index 00000000000000..59fac57a649f60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_mrqa_v2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_mrqa_v2 RoBertaForQuestionAnswering from enriquesaou
+author: John Snow Labs
+name: roberta_mrqa_v2
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mrqa_v2` is a English model originally trained by enriquesaou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mrqa_v2_en_5.5.0_3.0_1726619683795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mrqa_v2_en_5.5.0_3.0_1726619683795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mrqa_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/enriquesaou/roberta_mrqa_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roebrta_base_val_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roebrta_base_val_test_pipeline_en.md
new file mode 100644
index 00000000000000..8391a6bc6e906e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roebrta_base_val_test_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roebrta_base_val_test_pipeline pipeline RoBertaEmbeddings from Emanuel
+author: John Snow Labs
+name: roebrta_base_val_test_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roebrta_base_val_test_pipeline` is a English model originally trained by Emanuel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roebrta_base_val_test_pipeline_en_5.5.0_3.0_1726678055423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roebrta_base_val_test_pipeline_en_5.5.0_3.0_1726678055423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roebrta_base_val_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roebrta_base_val_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roebrta_base_val_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/Emanuel/roebrta-base-val-test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_based_ner_models_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_based_ner_models_pipeline_en.md
new file mode 100644
index 00000000000000..e625036bb2f7ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_based_ner_models_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_based_ner_models_pipeline pipeline BertSentenceEmbeddings from pragnakalp
+author: John Snow Labs
+name: sent_bert_based_ner_models_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_based_ner_models_pipeline` is a English model originally trained by pragnakalp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_based_ner_models_pipeline_en_5.5.0_3.0_1726661674559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_based_ner_models_pipeline_en_5.5.0_3.0_1726661674559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_based_ner_models_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_based_ner_models_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_based_ner_models_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.2 MB|
+
+## References
+
+https://huggingface.co/pragnakalp/bert_based_ner_models
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_distilbert_finetuned_imdb_neural_net_rahul_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_distilbert_finetuned_imdb_neural_net_rahul_en.md
new file mode 100644
index 00000000000000..14c002da4e1cb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_distilbert_finetuned_imdb_neural_net_rahul_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_distilbert_finetuned_imdb_neural_net_rahul BertSentenceEmbeddings from neural-net-rahul
+author: John Snow Labs
+name: sent_distilbert_finetuned_imdb_neural_net_rahul
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbert_finetuned_imdb_neural_net_rahul` is a English model originally trained by neural-net-rahul.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbert_finetuned_imdb_neural_net_rahul_en_5.5.0_3.0_1726676342331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbert_finetuned_imdb_neural_net_rahul_en_5.5.0_3.0_1726676342331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbert_finetuned_imdb_neural_net_rahul|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/neural-net-rahul/distilbert-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_esmlmt60_10000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_esmlmt60_10000_pipeline_en.md
new file mode 100644
index 00000000000000..b1c5efd43e78d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_esmlmt60_10000_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_esmlmt60_10000_pipeline pipeline BertSentenceEmbeddings from hjkim811
+author: John Snow Labs
+name: sent_esmlmt60_10000_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_esmlmt60_10000_pipeline` is a English model originally trained by hjkim811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_esmlmt60_10000_pipeline_en_5.5.0_3.0_1726675897096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_esmlmt60_10000_pipeline_en_5.5.0_3.0_1726675897096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_esmlmt60_10000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_esmlmt60_10000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_esmlmt60_10000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.2 MB|
+
+## References
+
+https://huggingface.co/hjkim811/esmlmt60-10000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-test_finetuned__roberta_base_bne__augmented_ultrasounds_ner_en.md b/docs/_posts/ahmedlone127/2024-09-18-test_finetuned__roberta_base_bne__augmented_ultrasounds_ner_en.md
new file mode 100644
index 00000000000000..402f8d17e7cb40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-test_finetuned__roberta_base_bne__augmented_ultrasounds_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_finetuned__roberta_base_bne__augmented_ultrasounds_ner RoBertaForTokenClassification from manucos
+author: John Snow Labs
+name: test_finetuned__roberta_base_bne__augmented_ultrasounds_ner
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_finetuned__roberta_base_bne__augmented_ultrasounds_ner` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_finetuned__roberta_base_bne__augmented_ultrasounds_ner_en_5.5.0_3.0_1726652421147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_finetuned__roberta_base_bne__augmented_ultrasounds_ner_en_5.5.0_3.0_1726652421147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_finetuned__roberta_base_bne__augmented_ultrasounds_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/manucos/test-finetuned__roberta-base-bne__augmented-ultrasounds-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-tmp_trainer_moisesdiazm_en.md b/docs/_posts/ahmedlone127/2024-09-18-tmp_trainer_moisesdiazm_en.md
new file mode 100644
index 00000000000000..84e1cb4d5786f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-tmp_trainer_moisesdiazm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tmp_trainer_moisesdiazm DistilBertForSequenceClassification from moisesdiazm
+author: John Snow Labs
+name: tmp_trainer_moisesdiazm
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_trainer_moisesdiazm` is a English model originally trained by moisesdiazm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_trainer_moisesdiazm_en_5.5.0_3.0_1726696111952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_trainer_moisesdiazm_en_5.5.0_3.0_1726696111952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp_trainer_moisesdiazm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/moisesdiazm/tmp_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random3_seed2_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random3_seed2_bernice_en.md
new file mode 100644
index 00000000000000..f22860de3c59c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random3_seed2_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English topic_topic_random3_seed2_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random3_seed2_bernice
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random3_seed2_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random3_seed2_bernice_en_5.5.0_3.0_1726672577417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random3_seed2_bernice_en_5.5.0_3.0_1726672577417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random3_seed2_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|805.6 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random3_seed2-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07_en.md b/docs/_posts/ahmedlone127/2024-09-18-twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07_en.md
new file mode 100644
index 00000000000000..4c31999b670551
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07 RoBertaForSequenceClassification from ali2066
+author: John Snow Labs
+name: twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07_en_5.5.0_3.0_1726689606081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07_en_5.5.0_3.0_1726689606081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_38_07|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/twitter-roberta-base_sentence_itr0_1e-05_all_01_03_2022-13_38_07
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_edwardjross_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_edwardjross_en.md
new file mode 100644
index 00000000000000..0ab82603e16c31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_edwardjross_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_edwardjross XlmRoBertaForTokenClassification from edwardjross
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_edwardjross
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_edwardjross` is a English model originally trained by edwardjross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_edwardjross_en_5.5.0_3.0_1726657361764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_edwardjross_en_5.5.0_3.0_1726657361764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_edwardjross|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|827.2 MB|
+
+## References
+
+https://huggingface.co/edwardjross/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline_en.md
new file mode 100644
index 00000000000000..37595361794584
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline pipeline XlmRoBertaForTokenClassification from jbreunig
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline` is a English model originally trained by jbreunig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline_en_5.5.0_3.0_1726636620953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline_en_5.5.0_3.0_1726636620953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_jbreunig_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/jbreunig/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline_en.md
new file mode 100644
index 00000000000000..a2f04cda7b7ae7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline pipeline XlmRoBertaForTokenClassification from gus07ven
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline` is a English model originally trained by gus07ven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline_en_5.5.0_3.0_1726664077690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline_en_5.5.0_3.0_1726664077690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_gus07ven_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/gus07ven/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_imdb_muzammil_eds_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_imdb_muzammil_eds_en.md
new file mode 100644
index 00000000000000..c0f8573175e218
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_imdb_muzammil_eds_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_imdb_muzammil_eds XlmRoBertaForSequenceClassification from muzammil-eds
+author: John Snow Labs
+name: xlm_roberta_base_imdb_muzammil_eds
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_imdb_muzammil_eds` is a English model originally trained by muzammil-eds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_imdb_muzammil_eds_en_5.5.0_3.0_1726660831500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_imdb_muzammil_eds_en_5.5.0_3.0_1726660831500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_imdb_muzammil_eds|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|860.9 MB|
+
+## References
+
+https://huggingface.co/muzammil-eds/xlm-roberta-base-IMDB
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-yiyang_test_en.md b/docs/_posts/ahmedlone127/2024-09-18-yiyang_test_en.md
new file mode 100644
index 00000000000000..3d533a886e0907
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-yiyang_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English yiyang_test BertForSequenceClassification from yiyang0101
+author: John Snow Labs
+name: yiyang_test
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yiyang_test` is a English model originally trained by yiyang0101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yiyang_test_en_5.5.0_3.0_1726624162910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yiyang_test_en_5.5.0_3.0_1726624162910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yiyang_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yiyang0101/yiyang-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline_en.md
new file mode 100644
index 00000000000000..257bd25e40c630
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline pipeline BertForQuestionAnswering from anas-awadalla
+author: John Snow Labs
+name: bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline` is a English model originally trained by anas-awadalla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline_en_5.5.0_3.0_1726710470114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline_en_5.5.0_3.0_1726710470114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_few_shot_k_64_finetuned_squad_seed_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-8
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_bible_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_bible_pipeline_en.md
new file mode 100644
index 00000000000000..2bb6fd1961ccb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_bible_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_bible_pipeline pipeline BertEmbeddings from Pragash-Mohanarajah
+author: John Snow Labs
+name: bert_base_uncased_finetuned_bible_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_bible_pipeline` is a English model originally trained by Pragash-Mohanarajah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_bible_pipeline_en_5.5.0_3.0_1726717677937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_bible_pipeline_en_5.5.0_3.0_1726717677937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_bible_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_bible_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_bible_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Pragash-Mohanarajah/bert-base-uncased-finetuned-bible
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_squad_ashaduzzaman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_squad_ashaduzzaman_pipeline_en.md
new file mode 100644
index 00000000000000..9fb2e9f3cf2fca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_squad_ashaduzzaman_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_squad_ashaduzzaman_pipeline pipeline BertForQuestionAnswering from ashaduzzaman
+author: John Snow Labs
+name: bert_finetuned_squad_ashaduzzaman_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_ashaduzzaman_pipeline` is a English model originally trained by ashaduzzaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_ashaduzzaman_pipeline_en_5.5.0_3.0_1726765877820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_ashaduzzaman_pipeline_en_5.5.0_3.0_1726765877820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_squad_ashaduzzaman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_squad_ashaduzzaman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_ashaduzzaman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ashaduzzaman/bert-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_l12_h256_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_l12_h256_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..f70508c8bceeeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_l12_h256_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_l12_h256_uncased_pipeline pipeline BertEmbeddings from gaunernst
+author: John Snow Labs
+name: bert_l12_h256_uncased_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_l12_h256_uncased_pipeline` is a English model originally trained by gaunernst.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_l12_h256_uncased_pipeline_en_5.5.0_3.0_1726744700213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_l12_h256_uncased_pipeline_en_5.5.0_3.0_1726744700213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_l12_h256_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_l12_h256_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_l12_h256_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|65.5 MB|
+
+## References
+
+https://huggingface.co/gaunernst/bert-L12-H256-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_two_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_two_en.md
new file mode 100644
index 00000000000000..d845c5c6a86334
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_two_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_two BertEmbeddings from emma7897
+author: John Snow Labs
+name: bert_two
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_two` is a English model originally trained by emma7897.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_two_en_5.5.0_3.0_1726744584268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_two_en_5.5.0_3.0_1726744584268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_two|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/emma7897/bert_two
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_stringmatcher_newdataset_2_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_stringmatcher_newdataset_2_en.md
new file mode 100644
index 00000000000000..d98939b614d987
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_stringmatcher_newdataset_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_stringmatcher_newdataset_2 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_stringmatcher_newdataset_2
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_stringmatcher_newdataset_2` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_2_en_5.5.0_3.0_1726763564004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_2_en_5.5.0_3.0_1726763564004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vllm_gemma2b_stringmatcher_newdataset_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_vllm-gemma2b-stringMatcher-newDataset_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_distilbert_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_distilbert_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..495e519b72498f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_distilbert_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_distilbert_imdb_pipeline pipeline DistilBertForSequenceClassification from nnhwin
+author: John Snow Labs
+name: burmese_distilbert_imdb_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distilbert_imdb_pipeline` is a English model originally trained by nnhwin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_pipeline_en_5.5.0_3.0_1726741101256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_pipeline_en_5.5.0_3.0_1726741101256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_distilbert_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_distilbert_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nnhwin/my-distilbert-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-common_voice_lt.md b/docs/_posts/ahmedlone127/2024-09-19-common_voice_lt.md
new file mode 100644
index 00000000000000..91e0aadbfd3116
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-common_voice_lt.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Lithuanian common_voice WhisperForCTC from Tomas1234
+author: John Snow Labs
+name: common_voice
+date: 2024-09-19
+tags: [lt, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: lt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`common_voice` is a Lithuanian model originally trained by Tomas1234.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/common_voice_lt_5.5.0_3.0_1726757233936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/common_voice_lt_5.5.0_3.0_1726757233936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|common_voice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|lt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Tomas1234/common_voice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distil_bert_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distil_bert_v3_pipeline_en.md
new file mode 100644
index 00000000000000..cdbd03d090ab03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distil_bert_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distil_bert_v3_pipeline pipeline DistilBertForSequenceClassification from KayraAksit
+author: John Snow Labs
+name: distil_bert_v3_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_bert_v3_pipeline` is a English model originally trained by KayraAksit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_v3_pipeline_en_5.5.0_3.0_1726744187131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_v3_pipeline_en_5.5.0_3.0_1726744187131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distil_bert_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distil_bert_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_bert_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KayraAksit/distil_bert_v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_distilled_squad_finetuned_squad_test3_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_distilled_squad_finetuned_squad_test3_en.md
new file mode 100644
index 00000000000000..cb0bb0fcfc1a96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_distilled_squad_finetuned_squad_test3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_cased_distilled_squad_finetuned_squad_test3 DistilBertForQuestionAnswering from allistair99
+author: John Snow Labs
+name: distilbert_base_cased_distilled_squad_finetuned_squad_test3
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_distilled_squad_finetuned_squad_test3` is a English model originally trained by allistair99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_finetuned_squad_test3_en_5.5.0_3.0_1726727801103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_finetuned_squad_test3_en_5.5.0_3.0_1726727801103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_distilled_squad_finetuned_squad_test3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/allistair99/distilbert-base-cased-distilled-squad-finetuned-squad-test3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_aicoder009_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_aicoder009_en.md
new file mode 100644
index 00000000000000..8997c2ac6eb8ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_aicoder009_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_aicoder009 DistilBertForSequenceClassification from AICODER009
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_aicoder009
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aicoder009` is a English model originally trained by AICODER009.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aicoder009_en_5.5.0_3.0_1726704675610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aicoder009_en_5.5.0_3.0_1726704675610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_aicoder009|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AICODER009/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cokuun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cokuun_pipeline_en.md
new file mode 100644
index 00000000000000..ad3458116858c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cokuun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cokuun_pipeline pipeline DistilBertForSequenceClassification from cokuun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cokuun_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cokuun_pipeline` is a English model originally trained by cokuun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cokuun_pipeline_en_5.5.0_3.0_1726741248606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cokuun_pipeline_en_5.5.0_3.0_1726741248606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cokuun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cokuun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cokuun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cokuun/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_en.md
new file mode 100644
index 00000000000000..5d50d12dc58a2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft DistilBertForSequenceClassification from fatmhd1995
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft` is a English model originally trained by fatmhd1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_en_5.5.0_3.0_1726740692106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft_en_5.5.0_3.0_1726740692106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_toxicity_ft|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fatmhd1995/distilbert-base-uncased-finetuned-sst-2-english-TOXICITY-FT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..0ab39e2a10a667
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline_en_5.5.0_3.0_1726742693449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline_en_5.5.0_3.0_1726742693449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st7sd_ut72ut1large7PfxNf_simsp400_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_1st_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_1st_en.md
new file mode 100644
index 00000000000000..1467fa63715e34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_1st_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_1st DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_1st
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_1st` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_1st_en_5.5.0_3.0_1726719402788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_1st_en_5.5.0_3.0_1726719402788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_1st|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_1st
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_fine_tuned_rte_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_fine_tuned_rte_en.md
new file mode 100644
index 00000000000000..fba84d78a4ed11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_fine_tuned_rte_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_fine_tuned_rte DistilBertForSequenceClassification from rycecorn
+author: John Snow Labs
+name: distilbert_fine_tuned_rte
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fine_tuned_rte` is a English model originally trained by rycecorn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_rte_en_5.5.0_3.0_1726704234954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_rte_en_5.5.0_3.0_1726704234954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fine_tuned_rte|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rycecorn/DistilBert-fine-tuned-RTE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilkobert_ep2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilkobert_ep2_pipeline_en.md
new file mode 100644
index 00000000000000..af18809981227e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilkobert_ep2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilkobert_ep2_pipeline pipeline DistilBertForSequenceClassification from yeye776
+author: John Snow Labs
+name: distilkobert_ep2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilkobert_ep2_pipeline` is a English model originally trained by yeye776.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilkobert_ep2_pipeline_en_5.5.0_3.0_1726763338735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilkobert_ep2_pipeline_en_5.5.0_3.0_1726763338735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilkobert_ep2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilkobert_ep2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilkobert_ep2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|106.5 MB|
+
+## References
+
+https://huggingface.co/yeye776/DistilKoBERT-ep2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-emotion_predictor_for_emotion_chat_bot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-emotion_predictor_for_emotion_chat_bot_pipeline_en.md
new file mode 100644
index 00000000000000..a75b2972f85ef6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-emotion_predictor_for_emotion_chat_bot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emotion_predictor_for_emotion_chat_bot_pipeline pipeline RoBertaForSequenceClassification from Shotaro30678
+author: John Snow Labs
+name: emotion_predictor_for_emotion_chat_bot_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_predictor_for_emotion_chat_bot_pipeline` is a English model originally trained by Shotaro30678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_predictor_for_emotion_chat_bot_pipeline_en_5.5.0_3.0_1726726706574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_predictor_for_emotion_chat_bot_pipeline_en_5.5.0_3.0_1726726706574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emotion_predictor_for_emotion_chat_bot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emotion_predictor_for_emotion_chat_bot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_predictor_for_emotion_chat_bot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/Shotaro30678/emotion_predictor_for_emotion_chat_bot
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-imdb_binary_classifier_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-19-imdb_binary_classifier_roberta_base_en.md
new file mode 100644
index 00000000000000..1336d5199a25f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-imdb_binary_classifier_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_binary_classifier_roberta_base RoBertaForSequenceClassification from againeureka
+author: John Snow Labs
+name: imdb_binary_classifier_roberta_base
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_binary_classifier_roberta_base` is a English model originally trained by againeureka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_binary_classifier_roberta_base_en_5.5.0_3.0_1726725835175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_binary_classifier_roberta_base_en_5.5.0_3.0_1726725835175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_val_dn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/simran14/mr-val-dn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mlm_finetunedmodel_test_en.md b/docs/_posts/ahmedlone127/2024-09-19-mlm_finetunedmodel_test_en.md
new file mode 100644
index 00000000000000..b63dce5a80ca56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mlm_finetunedmodel_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mlm_finetunedmodel_test RoBertaEmbeddings from shradha01
+author: John Snow Labs
+name: mlm_finetunedmodel_test
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlm_finetunedmodel_test` is a English model originally trained by shradha01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_finetunedmodel_test_en_5.5.0_3.0_1726746959343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_finetunedmodel_test_en_5.5.0_3.0_1726746959343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_finetunedmodel_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/shradha01/MLM_FinetunedModel_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-n_roberta_imdb_padding90model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-n_roberta_imdb_padding90model_pipeline_en.md
new file mode 100644
index 00000000000000..c7efe3e82b62f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-n_roberta_imdb_padding90model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_roberta_imdb_padding90model_pipeline pipeline RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_imdb_padding90model_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_roberta_imdb_padding90model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding90model_pipeline_en_5.5.0_3.0_1726780496853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding90model_pipeline_en_5.5.0_3.0_1726780496853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_roberta_imdb_padding90model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_roberta_imdb_padding90model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_roberta_imdb_padding90model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.3 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_imdb_padding90model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..c7c58d062f5bc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726750603997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726750603997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random2_seed0_twitter_roberta_base_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random2_seed0-twitter-roberta-base-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-paludistilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-paludistilbert_pipeline_en.md
new file mode 100644
index 00000000000000..697f09cdf43d1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-paludistilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English paludistilbert_pipeline pipeline DistilBertForSequenceClassification from Palu001
+author: John Snow Labs
+name: paludistilbert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paludistilbert_pipeline` is a English model originally trained by Palu001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paludistilbert_pipeline_en_5.5.0_3.0_1726742584799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paludistilbert_pipeline_en_5.5.0_3.0_1726742584799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("paludistilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("paludistilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paludistilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Palu001/PaluDistilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-polarizer_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-19-polarizer_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..1076dde1ebadaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-polarizer_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English polarizer_bert_base_uncased BertEmbeddings from kyungmin011029
+author: John Snow Labs
+name: polarizer_bert_base_uncased
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polarizer_bert_base_uncased` is a English model originally trained by kyungmin011029.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polarizer_bert_base_uncased_en_5.5.0_3.0_1726744755315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polarizer_bert_base_uncased_en_5.5.0_3.0_1726744755315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polarizer_bert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/kyungmin011029/Polarizer-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-regr_2_en.md b/docs/_posts/ahmedlone127/2024-09-19-regr_2_en.md
new file mode 100644
index 00000000000000..c87a45f6534d9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-regr_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English regr_2 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: regr_2
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`regr_2` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regr_2_en_5.5.0_3.0_1726780180628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regr_2_en_5.5.0_3.0_1726780180628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|regr_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Regr_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_classifier_autonlp_fake_covid_news_36769078_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_classifier_autonlp_fake_covid_news_36769078_pipeline_en.md
new file mode 100644
index 00000000000000..1cc85836d7b8e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_classifier_autonlp_fake_covid_news_36769078_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_classifier_autonlp_fake_covid_news_36769078_pipeline pipeline RoBertaForSequenceClassification from Qinghui
+author: John Snow Labs
+name: roberta_classifier_autonlp_fake_covid_news_36769078_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_classifier_autonlp_fake_covid_news_36769078_pipeline` is a English model originally trained by Qinghui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_classifier_autonlp_fake_covid_news_36769078_pipeline_en_5.5.0_3.0_1726780097198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_classifier_autonlp_fake_covid_news_36769078_pipeline_en_5.5.0_3.0_1726780097198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_classifier_autonlp_fake_covid_news_36769078_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_classifier_autonlp_fake_covid_news_36769078_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_classifier_autonlp_fake_covid_news_36769078_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Qinghui/autonlp-fake-covid-news-36769078
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_clinical_wl_spanish_ner_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_clinical_wl_spanish_ner_en.md
new file mode 100644
index 00000000000000..5686620f139ff0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_clinical_wl_spanish_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_clinical_wl_spanish_ner RoBertaForTokenClassification from manucos
+author: John Snow Labs
+name: roberta_clinical_wl_spanish_ner
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_clinical_wl_spanish_ner` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_clinical_wl_spanish_ner_en_5.5.0_3.0_1726729290278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_clinical_wl_spanish_ner_en_5.5.0_3.0_1726729290278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_clinical_wl_spanish_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|469.7 MB|
+
+## References
+
+https://huggingface.co/manucos/roberta-clinical-wl-es-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_clinical_wl_spanish_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_clinical_wl_spanish_ner_pipeline_en.md
new file mode 100644
index 00000000000000..a44e92a566e7c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_clinical_wl_spanish_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_clinical_wl_spanish_ner_pipeline pipeline RoBertaForTokenClassification from manucos
+author: John Snow Labs
+name: roberta_clinical_wl_spanish_ner_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_clinical_wl_spanish_ner_pipeline` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_clinical_wl_spanish_ner_pipeline_en_5.5.0_3.0_1726729313429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_clinical_wl_spanish_ner_pipeline_en_5.5.0_3.0_1726729313429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_clinical_wl_spanish_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_clinical_wl_spanish_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_clinical_wl_spanish_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|469.8 MB|
+
+## References
+
+https://huggingface.co/manucos/roberta-clinical-wl-es-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_shopee_sentiment_gadgets_tl.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_shopee_sentiment_gadgets_tl.md
new file mode 100644
index 00000000000000..8ba05eaf36f0ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_shopee_sentiment_gadgets_tl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Tagalog roberta_shopee_sentiment_gadgets RoBertaForSequenceClassification from magixxixx
+author: John Snow Labs
+name: roberta_shopee_sentiment_gadgets
+date: 2024-09-19
+tags: [tl, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: tl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_shopee_sentiment_gadgets` is a Tagalog model originally trained by magixxixx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_shopee_sentiment_gadgets_tl_5.5.0_3.0_1726779745735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_shopee_sentiment_gadgets_tl_5.5.0_3.0_1726779745735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_shopee_sentiment_gadgets|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tl|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/magixxixx/roberta-shopee-sentiment-gadgets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_1eps_seed995_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_1eps_seed995_en.md
new file mode 100644
index 00000000000000..81ca01fb01b08d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_1eps_seed995_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_untrained_1eps_seed995 RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_1eps_seed995
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_1eps_seed995` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed995_en_5.5.0_3.0_1726779857199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed995_en_5.5.0_3.0_1726779857199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_untrained_1eps_seed995|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.8 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta_untrained_1eps_seed995
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-robertabase_subjectivity_1_actual_en.md b/docs/_posts/ahmedlone127/2024-09-19-robertabase_subjectivity_1_actual_en.md
new file mode 100644
index 00000000000000..e909c92bd39e5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-robertabase_subjectivity_1_actual_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robertabase_subjectivity_1_actual RoBertaForSequenceClassification from Muffins987
+author: John Snow Labs
+name: robertabase_subjectivity_1_actual
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertabase_subjectivity_1_actual` is a English model originally trained by Muffins987.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertabase_subjectivity_1_actual_en_5.5.0_3.0_1726780212339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertabase_subjectivity_1_actual_en_5.5.0_3.0_1726780212339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertabase_subjectivity_1_actual|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.5 MB|
+
+## References
+
+https://huggingface.co/Muffins987/robertabase-subjectivity-1-actual
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-rubioroberta_neg_en.md b/docs/_posts/ahmedlone127/2024-09-19-rubioroberta_neg_en.md
new file mode 100644
index 00000000000000..1ab30ef0dad4f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-rubioroberta_neg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rubioroberta_neg RoBertaForTokenClassification from DimasikKurd
+author: John Snow Labs
+name: rubioroberta_neg
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubioroberta_neg` is a English model originally trained by DimasikKurd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubioroberta_neg_en_5.5.0_3.0_1726731289370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubioroberta_neg_en_5.5.0_3.0_1726731289370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubioroberta_neg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DimasikKurd/RuBioRoBERTa_neg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-schem_roberta_text_disagreement_binary_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-schem_roberta_text_disagreement_binary_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..825148a4f53a4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-schem_roberta_text_disagreement_binary_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English schem_roberta_text_disagreement_binary_classifier_pipeline pipeline RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: schem_roberta_text_disagreement_binary_classifier_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`schem_roberta_text_disagreement_binary_classifier_pipeline` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/schem_roberta_text_disagreement_binary_classifier_pipeline_en_5.5.0_3.0_1726733127519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/schem_roberta_text_disagreement_binary_classifier_pipeline_en_5.5.0_3.0_1726733127519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("schem_roberta_text_disagreement_binary_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("schem_roberta_text_disagreement_binary_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|schem_roberta_text_disagreement_binary_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|422.9 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/SChem_RoBERTa_Text_Disagreement_Binary_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_bert_large_ct_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_large_ct_pipeline_en.md
new file mode 100644
index 00000000000000..0a466c6b65d9a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_large_ct_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_large_ct_pipeline pipeline BertSentenceEmbeddings from Contrastive-Tension
+author: John Snow Labs
+name: sent_bert_large_ct_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_ct_pipeline` is a English model originally trained by Contrastive-Tension.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_ct_pipeline_en_5.5.0_3.0_1726728805430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_ct_pipeline_en_5.5.0_3.0_1726728805430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_large_ct_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_large_ct_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_ct_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Contrastive-Tension/BERT-Large-CT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_phs_bert_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_phs_bert_en.md
new file mode 100644
index 00000000000000..89aece1b87571a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_phs_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_phs_bert BertSentenceEmbeddings from publichealthsurveillance
+author: John Snow Labs
+name: sent_phs_bert
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_phs_bert` is a English model originally trained by publichealthsurveillance.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_phs_bert_en_5.5.0_3.0_1726782711992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_phs_bert_en_5.5.0_3.0_1726782711992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_phs_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/publichealthsurveillance/PHS-BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_finetuning_en.md b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_finetuning_en.md
new file mode 100644
index 00000000000000..b3d9457c704776
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_finetuning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_finetuning RoBertaForSequenceClassification from Asif1997
+author: John Snow Labs
+name: sentiment_analysis_finetuning
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_finetuning` is a English model originally trained by Asif1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_finetuning_en_5.5.0_3.0_1726751205326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_finetuning_en_5.5.0_3.0_1726751205326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_finetuning|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|456.9 MB|
+
+## References
+
+https://huggingface.co/Asif1997/Sentiment-Analysis-Finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-trained_dilibert_sentiment_analysis_amolinab_en.md b/docs/_posts/ahmedlone127/2024-09-19-trained_dilibert_sentiment_analysis_amolinab_en.md
new file mode 100644
index 00000000000000..9b51c8876a32d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-trained_dilibert_sentiment_analysis_amolinab_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trained_dilibert_sentiment_analysis_amolinab DistilBertForSequenceClassification from amolinab
+author: John Snow Labs
+name: trained_dilibert_sentiment_analysis_amolinab
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trained_dilibert_sentiment_analysis_amolinab` is a English model originally trained by amolinab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trained_dilibert_sentiment_analysis_amolinab_en_5.5.0_3.0_1726740889921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trained_dilibert_sentiment_analysis_amolinab_en_5.5.0_3.0_1726740889921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trained_dilibert_sentiment_analysis_amolinab|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/amolinab/trained_dilibert_sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_base_indonesian_rizka_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_base_indonesian_rizka_pipeline_id.md
new file mode 100644
index 00000000000000..0a32fe682960f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_base_indonesian_rizka_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian whisper_base_indonesian_rizka_pipeline pipeline WhisperForCTC from Rizka
+author: John Snow Labs
+name: whisper_base_indonesian_rizka_pipeline
+date: 2024-09-19
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_indonesian_rizka_pipeline` is a Indonesian model originally trained by Rizka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_indonesian_rizka_pipeline_id_5.5.0_3.0_1726759830534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_indonesian_rizka_pipeline_id_5.5.0_3.0_1726759830534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_indonesian_rizka_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_indonesian_rizka_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_indonesian_rizka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|642.1 MB|
+
+## References
+
+https://huggingface.co/Rizka/whisper-base-id
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_chugyouk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_chugyouk_pipeline_en.md
new file mode 100644
index 00000000000000..e32914a30699c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_chugyouk_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_chugyouk_pipeline pipeline WhisperForCTC from ChuGyouk
+author: John Snow Labs
+name: whisper_tiny_minds14_english_chugyouk_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_chugyouk_pipeline` is a English model originally trained by ChuGyouk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_chugyouk_pipeline_en_5.5.0_3.0_1726787472501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_chugyouk_pipeline_en_5.5.0_3.0_1726787472501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_english_chugyouk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_english_chugyouk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_chugyouk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/ChuGyouk/whisper-tiny-minds14-en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_chaoli_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_chaoli_en.md
new file mode 100644
index 00000000000000..6f351c356a3b82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_chaoli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_chaoli XlmRoBertaForTokenClassification from ChaoLi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_chaoli
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_chaoli` is a English model originally trained by ChaoLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_chaoli_en_5.5.0_3.0_1726708981131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_chaoli_en_5.5.0_3.0_1726708981131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_chaoli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/ChaoLi/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline_en.md
new file mode 100644
index 00000000000000..cdd52296b0d625
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline pipeline XlmRoBertaForTokenClassification from MichaelKim
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline` is a English model originally trained by MichaelKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline_en_5.5.0_3.0_1726754277444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline_en_5.5.0_3.0_1726754277444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_michaelkim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/MichaelKim/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_pipeline_en.md
new file mode 100644
index 00000000000000..40a5311a4fe505
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q4_25p_filtered_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_25p_filtered_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_25p_filtered_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_pipeline_en_5.5.0_3.0_1726796745516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_pipeline_en_5.5.0_3.0_1726796745516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q4_25p_filtered_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q4_25p_filtered_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_25p_filtered_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-25p-filtered
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-a_nepal_bhasa_repo_edurayan_en.md b/docs/_posts/ahmedlone127/2024-09-20-a_nepal_bhasa_repo_edurayan_en.md
new file mode 100644
index 00000000000000..cfa404a3612852
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-a_nepal_bhasa_repo_edurayan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English a_nepal_bhasa_repo_edurayan DistilBertForSequenceClassification from EduRayan
+author: John Snow Labs
+name: a_nepal_bhasa_repo_edurayan
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`a_nepal_bhasa_repo_edurayan` is a English model originally trained by EduRayan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/a_nepal_bhasa_repo_edurayan_en_5.5.0_3.0_1726871734597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/a_nepal_bhasa_repo_edurayan_en_5.5.0_3.0_1726871734597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|a_nepal_bhasa_repo_edurayan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/EduRayan/A-new-repo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_travel_4_16_5_oos_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_travel_4_16_5_oos_en.md
new file mode 100644
index 00000000000000..0ddb69fbe649d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_travel_4_16_5_oos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_travel_4_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_travel_4_16_5_oos
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_travel_4_16_5_oos` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_travel_4_16_5_oos_en_5.5.0_3.0_1726804833301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_travel_4_16_5_oos_en_5.5.0_3.0_1726804833301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_travel_4_16_5_oos|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-travel-4-16-5-oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline_en.md
new file mode 100644
index 00000000000000..ec530243fcb428
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline pipeline RoBertaEmbeddings from turalizada
+author: John Snow Labs
+name: azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline` is a English model originally trained by turalizada.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline_en_5.5.0_3.0_1726857785539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline_en_5.5.0_3.0_1726857785539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|azbertacontextualizedwordembeddingsinazerbaijanilanguage_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/turalizada/AzBERTaContextualizedWordEmbeddingsinAzerbaijaniLanguage
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-b001_cleaned_en.md b/docs/_posts/ahmedlone127/2024-09-20-b001_cleaned_en.md
new file mode 100644
index 00000000000000..af8a774d8f110e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-b001_cleaned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English b001_cleaned DistilBertForSequenceClassification from Theoreticallyhugo
+author: John Snow Labs
+name: b001_cleaned
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`b001_cleaned` is a English model originally trained by Theoreticallyhugo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/b001_cleaned_en_5.5.0_3.0_1726871524721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/b001_cleaned_en_5.5.0_3.0_1726871524721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|b001_cleaned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Theoreticallyhugo/B001_cleaned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_250_redo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_250_redo_pipeline_en.md
new file mode 100644
index 00000000000000..87cffc4a6b9908
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_250_redo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_250_redo_pipeline pipeline DistilBertForSequenceClassification from intrinsic-disorder
+author: John Snow Labs
+name: bert_250_redo_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_250_redo_pipeline` is a English model originally trained by intrinsic-disorder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_250_redo_pipeline_en_5.5.0_3.0_1726861211299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_250_redo_pipeline_en_5.5.0_3.0_1726861211299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_250_redo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_250_redo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_250_redo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/intrinsic-disorder/bert-250-redo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_250k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_250k_pipeline_en.md
new file mode 100644
index 00000000000000..fb2bfd8319080d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_250k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_250k_pipeline pipeline DistilBertForSequenceClassification from intrinsic-disorder
+author: John Snow Labs
+name: bert_250k_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_250k_pipeline` is a English model originally trained by intrinsic-disorder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_250k_pipeline_en_5.5.0_3.0_1726842476788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_250k_pipeline_en_5.5.0_3.0_1726842476788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_250k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_250k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_250k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/intrinsic-disorder/bert-250k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_klue_mrc_finetuned_jihoonkimharu_ko.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_klue_mrc_finetuned_jihoonkimharu_ko.md
new file mode 100644
index 00000000000000..cf607f197b8618
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_klue_mrc_finetuned_jihoonkimharu_ko.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Korean bert_base_klue_mrc_finetuned_jihoonkimharu BertForQuestionAnswering from jihoonkimharu
+author: John Snow Labs
+name: bert_base_klue_mrc_finetuned_jihoonkimharu
+date: 2024-09-20
+tags: [ko, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_klue_mrc_finetuned_jihoonkimharu` is a Korean model originally trained by jihoonkimharu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_klue_mrc_finetuned_jihoonkimharu_ko_5.5.0_3.0_1726820644319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_klue_mrc_finetuned_jihoonkimharu_ko_5.5.0_3.0_1726820644319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_klue_mrc_finetuned_jihoonkimharu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/jihoonkimharu/bert-base-klue-mrc-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en.md
new file mode 100644
index 00000000000000..27906bf6a53755
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en_5.5.0_3.0_1726834048789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en_5.5.0_3.0_1726834048789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.25-lr-4e-07-wd-1e-05-dp-0.3-ss-0-st-False-fh-False-hs-600
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_ner_mbalos_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_ner_mbalos_en.md
new file mode 100644
index 00000000000000..9ec80c810db6e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_ner_mbalos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_mbalos BertForTokenClassification from mbalos
+author: John Snow Labs
+name: bert_finetuned_ner_mbalos
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_mbalos` is a English model originally trained by mbalos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mbalos_en_5.5.0_3.0_1726840237378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mbalos_en_5.5.0_3.0_1726840237378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_mbalos|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mbalos/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_jigsaw_severetoxic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_jigsaw_severetoxic_pipeline_en.md
new file mode 100644
index 00000000000000..4f56f09813da40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_jigsaw_severetoxic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_jigsaw_severetoxic_pipeline pipeline BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_jigsaw_severetoxic_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_jigsaw_severetoxic_pipeline` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_jigsaw_severetoxic_pipeline_en_5.5.0_3.0_1726859956011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_jigsaw_severetoxic_pipeline_en_5.5.0_3.0_1726859956011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_jigsaw_severetoxic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_jigsaw_severetoxic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_jigsaw_severetoxic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-jigsaw-severetoxic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_tiny_squadv2_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_tiny_squadv2_en.md
new file mode 100644
index 00000000000000..b031290b2e19a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_tiny_squadv2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_tiny_squadv2 BertForQuestionAnswering from VenkatManda
+author: John Snow Labs
+name: bert_tiny_squadv2
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_squadv2` is a English model originally trained by VenkatManda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_squadv2_en_5.5.0_3.0_1726820437390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_squadv2_en_5.5.0_3.0_1726820437390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_squadv2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/VenkatManda/bert-tiny-squadV2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_aldaalmira_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_aldaalmira_pipeline_en.md
new file mode 100644
index 00000000000000..f007111ae4b229
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_aldaalmira_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_aldaalmira_pipeline pipeline RoBertaEmbeddings from aldaalmira
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_aldaalmira_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_aldaalmira_pipeline` is a English model originally trained by aldaalmira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_aldaalmira_pipeline_en_5.5.0_3.0_1726857417478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_aldaalmira_pipeline_en_5.5.0_3.0_1726857417478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_aldaalmira_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_aldaalmira_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_aldaalmira_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/aldaalmira/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_feelwoo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_feelwoo_pipeline_en.md
new file mode 100644
index 00000000000000..9b19fa35998423
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_feelwoo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_feelwoo_pipeline pipeline DistilBertForSequenceClassification from feelwoo
+author: John Snow Labs
+name: burmese_awesome_model_feelwoo_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_feelwoo_pipeline` is a English model originally trained by feelwoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_feelwoo_pipeline_en_5.5.0_3.0_1726842278980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_feelwoo_pipeline_en_5.5.0_3.0_1726842278980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_feelwoo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_feelwoo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_feelwoo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/feelwoo/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_priority_3_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_priority_3_en.md
new file mode 100644
index 00000000000000..8f3dfe47d356b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_priority_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_priority_3 DistilBertForSequenceClassification from lenate
+author: John Snow Labs
+name: burmese_awesome_model_priority_3
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_priority_3` is a English model originally trained by lenate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_priority_3_en_5.5.0_3.0_1726842284296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_priority_3_en_5.5.0_3.0_1726842284296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_priority_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lenate/my_awesome_model_priority_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-cat_ner_spanish_5_en.md b/docs/_posts/ahmedlone127/2024-09-20-cat_ner_spanish_5_en.md
new file mode 100644
index 00000000000000..ccf2f06b50b118
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-cat_ner_spanish_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_ner_spanish_5 RoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_ner_spanish_5
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_ner_spanish_5` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_ner_spanish_5_en_5.5.0_3.0_1726847568889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_ner_spanish_5_en_5.5.0_3.0_1726847568889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_ner_spanish_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|462.3 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-ner-es-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-classif_mmate_1_5_original_cont_3_sent_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-classif_mmate_1_5_original_cont_3_sent_pipeline_en.md
new file mode 100644
index 00000000000000..66d9435a66f1c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-classif_mmate_1_5_original_cont_3_sent_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classif_mmate_1_5_original_cont_3_sent_pipeline pipeline BertForSequenceClassification from spneshaei
+author: John Snow Labs
+name: classif_mmate_1_5_original_cont_3_sent_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classif_mmate_1_5_original_cont_3_sent_pipeline` is a English model originally trained by spneshaei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classif_mmate_1_5_original_cont_3_sent_pipeline_en_5.5.0_3.0_1726860348492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classif_mmate_1_5_original_cont_3_sent_pipeline_en_5.5.0_3.0_1726860348492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classif_mmate_1_5_original_cont_3_sent_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classif_mmate_1_5_original_cont_3_sent_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classif_mmate_1_5_original_cont_3_sent_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/spneshaei/classif_mmate_1_5_original_cont_3_sent
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-descr_class_two_cm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-descr_class_two_cm_pipeline_en.md
new file mode 100644
index 00000000000000..817d554780a329
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-descr_class_two_cm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English descr_class_two_cm_pipeline pipeline DistilBertForSequenceClassification from BanananaMax
+author: John Snow Labs
+name: descr_class_two_cm_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`descr_class_two_cm_pipeline` is a English model originally trained by BanananaMax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/descr_class_two_cm_pipeline_en_5.5.0_3.0_1726849050270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/descr_class_two_cm_pipeline_en_5.5.0_3.0_1726849050270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("descr_class_two_cm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("descr_class_two_cm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|descr_class_two_cm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/BanananaMax/descr_class_two_cm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-dialogue_overfit_check_fold_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-dialogue_overfit_check_fold_4_pipeline_en.md
new file mode 100644
index 00000000000000..27f22e8ca27b72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-dialogue_overfit_check_fold_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dialogue_overfit_check_fold_4_pipeline pipeline DistilBertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue_overfit_check_fold_4_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dialogue_overfit_check_fold_4_pipeline` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue_overfit_check_fold_4_pipeline_en_5.5.0_3.0_1726848824190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue_overfit_check_fold_4_pipeline_en_5.5.0_3.0_1726848824190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dialogue_overfit_check_fold_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dialogue_overfit_check_fold_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue_overfit_check_fold_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SharonTudi/DIALOGUE_overfit_check_fold_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_emotion_ft_0520_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_emotion_ft_0520_pipeline_en.md
new file mode 100644
index 00000000000000..474d7f2837b81b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_emotion_ft_0520_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0520_pipeline pipeline DistilBertForSequenceClassification from TangXiaoMing123
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0520_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0520_pipeline` is a English model originally trained by TangXiaoMing123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_pipeline_en_5.5.0_3.0_1726823710214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_pipeline_en_5.5.0_3.0_1726823710214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_emotion_ft_0520_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_emotion_ft_0520_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0520_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TangXiaoMing123/distilbert-base-uncased_emotion_ft_0520
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_raota_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_raota_en.md
new file mode 100644
index 00000000000000..3f832cdf294944
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_raota_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_raota DistilBertForSequenceClassification from raota
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_raota
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_raota` is a English model originally trained by raota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_raota_en_5.5.0_3.0_1726792219323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_raota_en_5.5.0_3.0_1726792219323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_raota|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/raota/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_global_intent_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_global_intent_pipeline_en.md
new file mode 100644
index 00000000000000..32ba0738bf430f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_global_intent_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_global_intent_pipeline pipeline DistilBertForSequenceClassification from alibidaran
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_global_intent_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_global_intent_pipeline` is a English model originally trained by alibidaran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_global_intent_pipeline_en_5.5.0_3.0_1726792490204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_global_intent_pipeline_en_5.5.0_3.0_1726792490204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_global_intent_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_global_intent_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_global_intent_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/alibidaran/distilbert-base-uncased-finetuned-Global_Intent
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_en.md
new file mode 100644
index 00000000000000..dec7292f7ba5a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_en_5.5.0_3.0_1726830021037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_en_5.5.0_3.0_1726830021037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut3_PLPrefix0stlarge_simsp100_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..c8ef4779424ee6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline_en_5.5.0_3.0_1726832863519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline_en_5.5.0_3.0_1726832863519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st19sd_ut72ut1_PLPrefix0stlarge19_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..986f960458f999
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline_en_5.5.0_3.0_1726848942016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline_en_5.5.0_3.0_1726848942016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large90pfxnf_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1large90PfxNf_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..6aa882640b6788
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline_en_5.5.0_3.0_1726829873885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline_en_5.5.0_3.0_1726829873885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st5sd_ut72ut5_PLPrefix0stlarge5_simsp100_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_tuvalu_zephyr_1shot_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_tuvalu_zephyr_1shot_en.md
new file mode 100644
index 00000000000000..7e546894297c6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_tuvalu_zephyr_1shot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_tuvalu_zephyr_1shot DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_tuvalu_zephyr_1shot
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_tuvalu_zephyr_1shot` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tuvalu_zephyr_1shot_en_5.5.0_3.0_1726848809553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tuvalu_zephyr_1shot_en_5.5.0_3.0_1726848809553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_tuvalu_zephyr_1shot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_tvl_zephyr_1shot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline_en.md
new file mode 100644
index 00000000000000..1f9f43b2f78f43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline_en_5.5.0_3.0_1726842090763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline_en_5.5.0_3.0_1726842090763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_cola_384_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|111.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_cola_384
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sql_timeout_classifier_with_features_4096_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sql_timeout_classifier_with_features_4096_pipeline_en.md
new file mode 100644
index 00000000000000..e8fffab08f7e88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sql_timeout_classifier_with_features_4096_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sql_timeout_classifier_with_features_4096_pipeline pipeline DistilBertForSequenceClassification from Lifehouse
+author: John Snow Labs
+name: distilbert_sql_timeout_classifier_with_features_4096_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sql_timeout_classifier_with_features_4096_pipeline` is a English model originally trained by Lifehouse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sql_timeout_classifier_with_features_4096_pipeline_en_5.5.0_3.0_1726823673687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sql_timeout_classifier_with_features_4096_pipeline_en_5.5.0_3.0_1726823673687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sql_timeout_classifier_with_features_4096_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sql_timeout_classifier_with_features_4096_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sql_timeout_classifier_with_features_4096_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|259.8 MB|
+
+## References
+
+https://huggingface.co/Lifehouse/distilbert-sql-timeout-classifier-with-features-4096
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-final_reviews_finetuned_model_epoch_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-final_reviews_finetuned_model_epoch_05_pipeline_en.md
new file mode 100644
index 00000000000000..52617793095fde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-final_reviews_finetuned_model_epoch_05_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English final_reviews_finetuned_model_epoch_05_pipeline pipeline DistilBertForSequenceClassification from rahulgaikwad007
+author: John Snow Labs
+name: final_reviews_finetuned_model_epoch_05_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_reviews_finetuned_model_epoch_05_pipeline` is a English model originally trained by rahulgaikwad007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_reviews_finetuned_model_epoch_05_pipeline_en_5.5.0_3.0_1726849057443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_reviews_finetuned_model_epoch_05_pipeline_en_5.5.0_3.0_1726849057443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("final_reviews_finetuned_model_epoch_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("final_reviews_finetuned_model_epoch_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_reviews_finetuned_model_epoch_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rahulgaikwad007/Final-reviews-Finetuned-model-Epoch-05
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_amazon_sample100000_text_robertamodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_amazon_sample100000_text_robertamodel_pipeline_en.md
new file mode 100644
index 00000000000000..6226be74ef4b6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_amazon_sample100000_text_robertamodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_amazon_sample100000_text_robertamodel_pipeline pipeline RoBertaForSequenceClassification from hsiuping
+author: John Snow Labs
+name: finetuning_amazon_sample100000_text_robertamodel_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_amazon_sample100000_text_robertamodel_pipeline` is a English model originally trained by hsiuping.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_amazon_sample100000_text_robertamodel_pipeline_en_5.5.0_3.0_1726851787746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_amazon_sample100000_text_robertamodel_pipeline_en_5.5.0_3.0_1726851787746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_amazon_sample100000_text_robertamodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_amazon_sample100000_text_robertamodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_amazon_sample100000_text_robertamodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/hsiuping/finetuning-amazon-sample100000-text-RoBERTamodel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_bijupv_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_bijupv_pipeline_en.md
new file mode 100644
index 00000000000000..ed9ed2a0f6699a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_bijupv_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_bijupv_pipeline pipeline DistilBertForSequenceClassification from BijuPV
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_bijupv_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bijupv_pipeline` is a English model originally trained by BijuPV.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bijupv_pipeline_en_5.5.0_3.0_1726792315100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bijupv_pipeline_en_5.5.0_3.0_1726792315100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_bijupv_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_bijupv_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_bijupv_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BijuPV/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_manikanta0002_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_manikanta0002_pipeline_en.md
new file mode 100644
index 00000000000000..9f5a8049ceac9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_manikanta0002_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_manikanta0002_pipeline pipeline DistilBertForSequenceClassification from manikanta0002
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_manikanta0002_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_manikanta0002_pipeline` is a English model originally trained by manikanta0002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_manikanta0002_pipeline_en_5.5.0_3.0_1726871729813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_manikanta0002_pipeline_en_5.5.0_3.0_1726871729813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_manikanta0002_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_manikanta0002_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_manikanta0002_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/manikanta0002/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline_en.md
new file mode 100644
index 00000000000000..9d98864019925e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline pipeline DistilBertForSequenceClassification from yvillamil
+author: John Snow Labs
+name: finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline` is a English model originally trained by yvillamil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline_en_5.5.0_3.0_1726823485063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline_en_5.5.0_3.0_1726823485063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3500_samples_train_yvillamil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yvillamil/finetuning-sentiment-model-3500-samples-train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_en.md
new file mode 100644
index 00000000000000..74866791bd6f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_5000_amazonbaby_samples_a01793005 DistilBertForSequenceClassification from A01793005
+author: John Snow Labs
+name: finetuning_sentiment_model_5000_amazonbaby_samples_a01793005
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_amazonbaby_samples_a01793005` is a English model originally trained by A01793005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_en_5.5.0_3.0_1726848933026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_en_5.5.0_3.0_1726848933026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_5000_amazonbaby_samples_a01793005|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/A01793005/finetuning-sentiment-model-5000-amazonbaby-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw1_en.md b/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw1_en.md
new file mode 100644
index 00000000000000..22ccb9858a8e6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English llm_b_hw1 DistilBertForSequenceClassification from VincentYH
+author: John Snow Labs
+name: llm_b_hw1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llm_b_hw1` is a English model originally trained by VincentYH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llm_b_hw1_en_5.5.0_3.0_1726841448495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llm_b_hw1_en_5.5.0_3.0_1726841448495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|llm_b_hw1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VincentYH/LLM_B_HW1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ltp_roberta_large_defaultltp_roberta_large_default_char_ins_en.md b/docs/_posts/ahmedlone127/2024-09-20-ltp_roberta_large_defaultltp_roberta_large_default_char_ins_en.md
new file mode 100644
index 00000000000000..72e24aa317680d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ltp_roberta_large_defaultltp_roberta_large_default_char_ins_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ltp_roberta_large_defaultltp_roberta_large_default_char_ins RoBertaForSequenceClassification from sara-nabhani
+author: John Snow Labs
+name: ltp_roberta_large_defaultltp_roberta_large_default_char_ins
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ltp_roberta_large_defaultltp_roberta_large_default_char_ins` is a English model originally trained by sara-nabhani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ltp_roberta_large_defaultltp_roberta_large_default_char_ins_en_5.5.0_3.0_1726804467034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ltp_roberta_large_defaultltp_roberta_large_default_char_ins_en_5.5.0_3.0_1726804467034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ltp_roberta_large_defaultltp_roberta_large_default_char_ins|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sara-nabhani/ltp-roberta-large-defaultltp-roberta-large-default-char_ins
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp_project_ajchang6_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp_project_ajchang6_en.md
new file mode 100644
index 00000000000000..d8e884005178c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp_project_ajchang6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_project_ajchang6 DistilBertForSequenceClassification from ajchang6
+author: John Snow Labs
+name: nlp_project_ajchang6
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_project_ajchang6` is a English model originally trained by ajchang6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_project_ajchang6_en_5.5.0_3.0_1726832782547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_project_ajchang6_en_5.5.0_3.0_1726832782547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_project_ajchang6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ajchang6/nlp_project
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-prueba_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-prueba_pipeline_en.md
new file mode 100644
index 00000000000000..b3a78113f70625
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-prueba_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English prueba_pipeline pipeline DistilBertForSequenceClassification from rayosoftware
+author: John Snow Labs
+name: prueba_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prueba_pipeline` is a English model originally trained by rayosoftware.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prueba_pipeline_en_5.5.0_3.0_1726832568833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prueba_pipeline_en_5.5.0_3.0_1726832568833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("prueba_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("prueba_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prueba_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rayosoftware/prueba
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_large_v1_7__checkpoint_last_en.md b/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_large_v1_7__checkpoint_last_en.md
new file mode 100644
index 00000000000000..ca7f020adb1d43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_large_v1_7__checkpoint_last_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ptcrawl_plus_legal_large_v1_7__checkpoint_last RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: ptcrawl_plus_legal_large_v1_7__checkpoint_last
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ptcrawl_plus_legal_large_v1_7__checkpoint_last` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_large_v1_7__checkpoint_last_en_5.5.0_3.0_1726858053742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_large_v1_7__checkpoint_last_en_5.5.0_3.0_1726858053742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_plus_legal_large_v1_7__checkpoint_last|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|842.9 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_plus_legal_large_v1_7__checkpoint_last
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-qa_persian_bert_persian_farsi_zwnj_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-qa_persian_bert_persian_farsi_zwnj_base_pipeline_en.md
new file mode 100644
index 00000000000000..18c2eef4763fde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-qa_persian_bert_persian_farsi_zwnj_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_persian_bert_persian_farsi_zwnj_base_pipeline pipeline BertForQuestionAnswering from makhataei
+author: John Snow Labs
+name: qa_persian_bert_persian_farsi_zwnj_base_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_persian_bert_persian_farsi_zwnj_base_pipeline` is a English model originally trained by makhataei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_persian_bert_persian_farsi_zwnj_base_pipeline_en_5.5.0_3.0_1726820547412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_persian_bert_persian_farsi_zwnj_base_pipeline_en_5.5.0_3.0_1726820547412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_persian_bert_persian_farsi_zwnj_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_persian_bert_persian_farsi_zwnj_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_persian_bert_persian_farsi_zwnj_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.7 MB|
+
+## References
+
+https://huggingface.co/makhataei/qa-persian-bert-fa-zwnj-base
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-question_classification_minervabotteam_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-question_classification_minervabotteam_pipeline_en.md
new file mode 100644
index 00000000000000..1bd9e174166876
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-question_classification_minervabotteam_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English question_classification_minervabotteam_pipeline pipeline DistilBertForSequenceClassification from MinervaBotTeam
+author: John Snow Labs
+name: question_classification_minervabotteam_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_classification_minervabotteam_pipeline` is a English model originally trained by MinervaBotTeam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_classification_minervabotteam_pipeline_en_5.5.0_3.0_1726849135896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_classification_minervabotteam_pipeline_en_5.5.0_3.0_1726849135896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("question_classification_minervabotteam_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("question_classification_minervabotteam_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_classification_minervabotteam_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MinervaBotTeam/Question_Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_legal_indian_courts_downstream_build_rr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_legal_indian_courts_downstream_build_rr_pipeline_en.md
new file mode 100644
index 00000000000000..d0828a5900afd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_legal_indian_courts_downstream_build_rr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_legal_indian_courts_downstream_build_rr_pipeline pipeline RoBertaForTokenClassification from MHGanainy
+author: John Snow Labs
+name: roberta_base_legal_indian_courts_downstream_build_rr_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_legal_indian_courts_downstream_build_rr_pipeline` is a English model originally trained by MHGanainy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_legal_indian_courts_downstream_build_rr_pipeline_en_5.5.0_3.0_1726862707099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_legal_indian_courts_downstream_build_rr_pipeline_en_5.5.0_3.0_1726862707099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_legal_indian_courts_downstream_build_rr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_legal_indian_courts_downstream_build_rr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_legal_indian_courts_downstream_build_rr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/MHGanainy/roberta-base-legal-indian-courts-downstream-build_rr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_polyglotner_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_polyglotner_en.md
new file mode 100644
index 00000000000000..c36c700bde608e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_polyglotner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_polyglotner RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_large_polyglotner
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_polyglotner` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_polyglotner_en_5.5.0_3.0_1726862590690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_polyglotner_en_5.5.0_3.0_1726862590690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_polyglotner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-large_PolyglotNER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_link_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_link_en.md
new file mode 100644
index 00000000000000..488eef0111bb96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_link_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_link RoBertaForTokenClassification from chanwoopark
+author: John Snow Labs
+name: roberta_link
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_link` is a English model originally trained by chanwoopark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_link_en_5.5.0_3.0_1726846890436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_link_en_5.5.0_3.0_1726846890436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_link|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|462.4 MB|
+
+## References
+
+https://huggingface.co/chanwoopark/roberta-link
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_link_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_link_pipeline_en.md
new file mode 100644
index 00000000000000..4840352e3d87f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_link_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_link_pipeline pipeline RoBertaForTokenClassification from chanwoopark
+author: John Snow Labs
+name: roberta_link_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_link_pipeline` is a English model originally trained by chanwoopark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_link_pipeline_en_5.5.0_3.0_1726846913970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_link_pipeline_en_5.5.0_3.0_1726846913970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_link_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_link_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_link_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.5 MB|
+
+## References
+
+https://huggingface.co/chanwoopark/roberta-link
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentience_classification_score_pytorch_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentience_classification_score_pytorch_en.md
new file mode 100644
index 00000000000000..ab55a1e6a29482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentience_classification_score_pytorch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentience_classification_score_pytorch DistilBertForSequenceClassification from aeaee
+author: John Snow Labs
+name: sentience_classification_score_pytorch
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentience_classification_score_pytorch` is a English model originally trained by aeaee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentience_classification_score_pytorch_en_5.5.0_3.0_1726823615020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentience_classification_score_pytorch_en_5.5.0_3.0_1726823615020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentience_classification_score_pytorch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/aeaee/SENTIENCE_Classification_Score_pytorch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random1_seed0_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random1_seed0_bernice_en.md
new file mode 100644
index 00000000000000..1610008a4bdf15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random1_seed0_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English topic_topic_random1_seed0_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random1_seed0_bernice
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random1_seed0_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed0_bernice_en_5.5.0_3.0_1726872646660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed0_bernice_en_5.5.0_3.0_1726872646660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random1_seed0_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|805.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random1_seed0-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_56_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_56_pipeline_en.md
new file mode 100644
index 00000000000000..4e30a32d1a8344
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_56_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English uned_tfg_08_56_pipeline pipeline RoBertaForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_56_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uned_tfg_08_56_pipeline` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_56_pipeline_en_5.5.0_3.0_1726851518349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_56_pipeline_en_5.5.0_3.0_1726851518349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("uned_tfg_08_56_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("uned_tfg_08_56_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_56_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.7 MB|
+
+## References
+
+https://huggingface.co/alexisdr/uned-tfg-08.56
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small200speedysep6_spanish_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small200speedysep6_spanish_pipeline_es.md
new file mode 100644
index 00000000000000..2c6309623e8adc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small200speedysep6_spanish_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish whisper_small200speedysep6_spanish_pipeline pipeline WhisperForCTC from jessicadiveai
+author: John Snow Labs
+name: whisper_small200speedysep6_spanish_pipeline
+date: 2024-09-20
+tags: [es, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small200speedysep6_spanish_pipeline` is a Castilian, Spanish model originally trained by jessicadiveai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small200speedysep6_spanish_pipeline_es_5.5.0_3.0_1726814396240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small200speedysep6_spanish_pipeline_es_5.5.0_3.0_1726814396240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small200speedysep6_spanish_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small200speedysep6_spanish_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small200speedysep6_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jessicadiveai/whisper-small200speedysep6-es
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_ver2_hi.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_ver2_hi.md
new file mode 100644
index 00000000000000..e429f7769b487c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_hindi_ver2_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_ver2 WhisperForCTC from saxenagauravhf
+author: John Snow Labs
+name: whisper_small_hindi_ver2
+date: 2024-09-20
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_ver2` is a Hindi model originally trained by saxenagauravhf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_ver2_hi_5.5.0_3.0_1726814107573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_ver2_hi_5.5.0_3.0_1726814107573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_ver2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/saxenagauravhf/whisper-small-hi-ver2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_finetuned_minds14_jackismyshephard_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_finetuned_minds14_jackismyshephard_pipeline_en.md
new file mode 100644
index 00000000000000..735b9aaf027621
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_finetuned_minds14_jackismyshephard_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_finetuned_minds14_jackismyshephard_pipeline pipeline WhisperForCTC from JackismyShephard
+author: John Snow Labs
+name: whisper_tiny_finetuned_minds14_jackismyshephard_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_finetuned_minds14_jackismyshephard_pipeline` is a English model originally trained by JackismyShephard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_jackismyshephard_pipeline_en_5.5.0_3.0_1726874333467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_jackismyshephard_pipeline_en_5.5.0_3.0_1726874333467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_finetuned_minds14_jackismyshephard_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_finetuned_minds14_jackismyshephard_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_finetuned_minds14_jackismyshephard_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.7 MB|
+
+## References
+
+https://huggingface.co/JackismyShephard/whisper-tiny-finetuned-minds14
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_claimbuster_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_claimbuster_pipeline_en.md
new file mode 100644
index 00000000000000..a2120b086dbddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_claimbuster_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_claimbuster_pipeline pipeline XlmRoBertaForSequenceClassification from Nithiwat
+author: John Snow Labs
+name: xlm_roberta_base_claimbuster_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_claimbuster_pipeline` is a English model originally trained by Nithiwat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_claimbuster_pipeline_en_5.5.0_3.0_1726800482552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_claimbuster_pipeline_en_5.5.0_3.0_1726800482552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_claimbuster_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_claimbuster_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_claimbuster_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|845.2 MB|
+
+## References
+
+https://huggingface.co/Nithiwat/xlm-roberta-base_claimbuster
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_koroku_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_koroku_pipeline_en.md
new file mode 100644
index 00000000000000..13d4f3954dad13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_koroku_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_koroku_pipeline pipeline XlmRoBertaForTokenClassification from koroku
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_koroku_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_koroku_pipeline` is a English model originally trained by koroku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_koroku_pipeline_en_5.5.0_3.0_1726844308912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_koroku_pipeline_en_5.5.0_3.0_1726844308912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_koroku_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_koroku_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_koroku_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.2 MB|
+
+## References
+
+https://huggingface.co/koroku/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_french_en.md b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_french_en.md
new file mode 100644
index 00000000000000..5357d6aea05870
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xnli_xlm_r_only_french XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_french
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_french` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_french_en_5.5.0_3.0_1726872639105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_french_en_5.5.0_3.0_1726872639105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xnli_xlm_r_only_french|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|810.8 MB|
+
+## References
+
+https://huggingface.co/semindan/xnli_xlm_r_only_fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_random_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_random_pipeline_en.md
new file mode 100644
index 00000000000000..0a4a5188206173
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_random_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q1_50p_filtered_random_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_50p_filtered_random_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q1_50p_filtered_random_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_random_pipeline_en_5.5.0_3.0_1726957738187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_random_pipeline_en_5.5.0_3.0_1726957738187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q1_50p_filtered_random_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q1_50p_filtered_random_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_50p_filtered_random_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-50p-filtered-random
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-angry_en.md b/docs/_posts/ahmedlone127/2024-09-21-angry_en.md
new file mode 100644
index 00000000000000..b1deb7dc773640
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-angry_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English angry RoBertaEmbeddings from MatthijsN
+author: John Snow Labs
+name: angry
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`angry` is a English model originally trained by MatthijsN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/angry_en_5.5.0_3.0_1726942707991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/angry_en_5.5.0_3.0_1726942707991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_combined_v4_4_0_8_1e_05_divine_sweep_17|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|646.6 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-combined_v4-4-0-8-1e-05-divine-sweep-17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_dutch_cased_finetuned_ner8_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_dutch_cased_finetuned_ner8_en.md
new file mode 100644
index 00000000000000..d9ff2f732f00c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_dutch_cased_finetuned_ner8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_ner8 BertForTokenClassification from Matthijsvanhof
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_ner8
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_dutch_cased_finetuned_ner8` is a English model originally trained by Matthijsvanhof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_ner8_en_5.5.0_3.0_1726889649969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_ner8_en_5.5.0_3.0_1726889649969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_ner8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Matthijsvanhof/bert-base-dutch-cased-finetuned-NER8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_dutch_cased_finetuned_ner8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_dutch_cased_finetuned_ner8_pipeline_en.md
new file mode 100644
index 00000000000000..44c8db91f0eee3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_dutch_cased_finetuned_ner8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_ner8_pipeline pipeline BertForTokenClassification from Matthijsvanhof
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_ner8_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_dutch_cased_finetuned_ner8_pipeline` is a English model originally trained by Matthijsvanhof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_ner8_pipeline_en_5.5.0_3.0_1726889669063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_ner8_pipeline_en_5.5.0_3.0_1726889669063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_dutch_cased_finetuned_ner8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_dutch_cased_finetuned_ner8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_ner8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Matthijsvanhof/bert-base-dutch-cased-finetuned-NER8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetuned_quac_1qahistory_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetuned_quac_1qahistory_pipeline_en.md
new file mode 100644
index 00000000000000..4cccbffcfb7a01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetuned_quac_1qahistory_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_quac_1qahistory_pipeline pipeline BertForQuestionAnswering from Jellevdl
+author: John Snow Labs
+name: bert_base_uncased_finetuned_quac_1qahistory_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_quac_1qahistory_pipeline` is a English model originally trained by Jellevdl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_quac_1qahistory_pipeline_en_5.5.0_3.0_1726946760086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_quac_1qahistory_pipeline_en_5.5.0_3.0_1726946760086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_quac_1qahistory_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_quac_1qahistory_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_quac_1qahistory_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Jellevdl/bert-base-uncased-finetuned-quac-1QAhistory
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_skotha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_skotha_pipeline_en.md
new file mode 100644
index 00000000000000..819513a34f05ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_skotha_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_skotha_pipeline pipeline RoBertaEmbeddings from skotha
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_skotha_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_skotha_pipeline` is a English model originally trained by skotha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_skotha_pipeline_en_5.5.0_3.0_1726934240200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_skotha_pipeline_en_5.5.0_3.0_1726934240200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_skotha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_skotha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_skotha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/skotha/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_ilanpar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_ilanpar_pipeline_en.md
new file mode 100644
index 00000000000000..554440c2c25a73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_ilanpar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_ilanpar_pipeline pipeline DistilBertForSequenceClassification from ilanPar
+author: John Snow Labs
+name: burmese_awesome_model_ilanpar_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ilanpar_pipeline` is a English model originally trained by ilanPar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ilanpar_pipeline_en_5.5.0_3.0_1726953071581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ilanpar_pipeline_en_5.5.0_3.0_1726953071581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_ilanpar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_ilanpar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ilanpar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ilanPar/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_parksuna_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_parksuna_pipeline_en.md
new file mode 100644
index 00000000000000..504e919db999f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_parksuna_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_parksuna_pipeline pipeline DistilBertForSequenceClassification from parksuna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_parksuna_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_parksuna_pipeline` is a English model originally trained by parksuna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_parksuna_pipeline_en_5.5.0_3.0_1726953589868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_parksuna_pipeline_en_5.5.0_3.0_1726953589868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_parksuna_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_parksuna_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_parksuna_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/parksuna/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..d3b11a8be5e1d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline_en_5.5.0_3.0_1726884797954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline_en_5.5.0_3.0_1726884797954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large10pfxnf_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1large10PfxNf_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline_en.md
new file mode 100644
index 00000000000000..151a6f1fbca169
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline_en_5.5.0_3.0_1726923830310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline_en_5.5.0_3.0_1726923830310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_small_talk_zphr_0st_ut52ut5_ad7_simsp_clean
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distillbert_8_en.md b/docs/_posts/ahmedlone127/2024-09-21-distillbert_8_en.md
new file mode 100644
index 00000000000000..315047012b77b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distillbert_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distillbert_8 DistilBertForSequenceClassification from dzd828
+author: John Snow Labs
+name: distillbert_8
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_8` is a English model originally trained by dzd828.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_8_en_5.5.0_3.0_1726924115259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_8_en_5.5.0_3.0_1726924115259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dzd828/distillbert-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline_en.md
new file mode 100644
index 00000000000000..be1a099c43fcc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline pipeline RoBertaEmbeddings from ethanoutangoun
+author: John Snow Labs
+name: distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline` is a English model originally trained by ethanoutangoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline_en_5.5.0_3.0_1726934785651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline_en_5.5.0_3.0_1726934785651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_wikitext2_ethanoutangoun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/ethanoutangoun/distilroberta-base-finetuned-wikitext2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-final_finetuned_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-final_finetuned_model_pipeline_en.md
new file mode 100644
index 00000000000000..b20e01b6174fae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-final_finetuned_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English final_finetuned_model_pipeline pipeline DistilBertForSequenceClassification from rahulgaikwad007
+author: John Snow Labs
+name: final_finetuned_model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_finetuned_model_pipeline` is a English model originally trained by rahulgaikwad007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_finetuned_model_pipeline_en_5.5.0_3.0_1726924234603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_finetuned_model_pipeline_en_5.5.0_3.0_1726924234603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("final_finetuned_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("final_finetuned_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_finetuned_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rahulgaikwad007/Final-Finetuned-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline_en.md
new file mode 100644
index 00000000000000..cc5e0eb55be495
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline pipeline BertForQuestionAnswering from muhammadravi251001
+author: John Snow Labs
+name: fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline` is a English model originally trained by muhammadravi251001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline_en_5.5.0_3.0_1726928954251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline_en_5.5.0_3.0_1726928954251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/muhammadravi251001/fine-tuned-DatasetQAS-Squad-ID-with-indobert-base-uncased-without-ITTL-without-freeze-LR-1e-05
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuned_distilbert_for_reddit_depression_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuned_distilbert_for_reddit_depression_detection_pipeline_en.md
new file mode 100644
index 00000000000000..d3649033381f4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuned_distilbert_for_reddit_depression_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_distilbert_for_reddit_depression_detection_pipeline pipeline DistilBertForSequenceClassification from sunF1ow3r
+author: John Snow Labs
+name: finetuned_distilbert_for_reddit_depression_detection_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_for_reddit_depression_detection_pipeline` is a English model originally trained by sunF1ow3r.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_for_reddit_depression_detection_pipeline_en_5.5.0_3.0_1726953725388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_for_reddit_depression_detection_pipeline_en_5.5.0_3.0_1726953725388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_distilbert_for_reddit_depression_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_distilbert_for_reddit_depression_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_for_reddit_depression_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sunF1ow3r/finetuned-distilBERT-for-reddit-depression-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_iossifpalli_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_iossifpalli_en.md
new file mode 100644
index 00000000000000..84b82710b361df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_iossifpalli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_iossifpalli DistilBertForSequenceClassification from IossifPalli
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_iossifpalli
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_iossifpalli` is a English model originally trained by IossifPalli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iossifpalli_en_5.5.0_3.0_1726888596801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iossifpalli_en_5.5.0_3.0_1726888596801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_iossifpalli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/IossifPalli/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_ramanen_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_ramanen_en.md
new file mode 100644
index 00000000000000..3b65927e824f89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_ramanen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ramanen DistilBertForSequenceClassification from Ramanen
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ramanen
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ramanen` is a English model originally trained by Ramanen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ramanen_en_5.5.0_3.0_1726889108044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ramanen_en_5.5.0_3.0_1726889108044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ramanen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ramanen/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finnews_sentimentanalysis_v1_en.md b/docs/_posts/ahmedlone127/2024-09-21-finnews_sentimentanalysis_v1_en.md
new file mode 100644
index 00000000000000..32b98899fd0b7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finnews_sentimentanalysis_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finnews_sentimentanalysis_v1 DistilBertForSequenceClassification from JoanParanoid
+author: John Snow Labs
+name: finnews_sentimentanalysis_v1
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finnews_sentimentanalysis_v1` is a English model originally trained by JoanParanoid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finnews_sentimentanalysis_v1_en_5.5.0_3.0_1726953427943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finnews_sentimentanalysis_v1_en_5.5.0_3.0_1726953427943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ground_english_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/dreamerdeo/ground-en-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-inria_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-inria_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..f9b2549877dddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-inria_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inria_roberta_pipeline pipeline RoBertaEmbeddings from subbareddyiiit
+author: John Snow Labs
+name: inria_roberta_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inria_roberta_pipeline` is a English model originally trained by subbareddyiiit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inria_roberta_pipeline_en_5.5.0_3.0_1726942589300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inria_roberta_pipeline_en_5.5.0_3.0_1726942589300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inria_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inria_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inria_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/subbareddyiiit/inria_roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-jerteh355sentneg4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-jerteh355sentneg4_pipeline_en.md
new file mode 100644
index 00000000000000..b72a4b21462703
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-jerteh355sentneg4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English jerteh355sentneg4_pipeline pipeline RoBertaForSequenceClassification from Tanor
+author: John Snow Labs
+name: jerteh355sentneg4_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jerteh355sentneg4_pipeline` is a English model originally trained by Tanor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jerteh355sentneg4_pipeline_en_5.5.0_3.0_1726900943137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jerteh355sentneg4_pipeline_en_5.5.0_3.0_1726900943137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("jerteh355sentneg4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("jerteh355sentneg4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jerteh355sentneg4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Tanor/Jerteh355SENTNEG4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-racism_finetuned_detests_wandb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-racism_finetuned_detests_wandb_pipeline_en.md
new file mode 100644
index 00000000000000..42298787742899
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-racism_finetuned_detests_wandb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English racism_finetuned_detests_wandb_pipeline pipeline RoBertaForSequenceClassification from Pablo94
+author: John Snow Labs
+name: racism_finetuned_detests_wandb_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`racism_finetuned_detests_wandb_pipeline` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/racism_finetuned_detests_wandb_pipeline_en_5.5.0_3.0_1726940926547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/racism_finetuned_detests_wandb_pipeline_en_5.5.0_3.0_1726940926547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("racism_finetuned_detests_wandb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("racism_finetuned_detests_wandb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|racism_finetuned_detests_wandb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|449.7 MB|
+
+## References
+
+https://huggingface.co/Pablo94/racism-finetuned-detests-wandb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-robbert_cosmetic_v2_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-21-robbert_cosmetic_v2_finetuned_en.md
new file mode 100644
index 00000000000000..50c26726e4f5d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-robbert_cosmetic_v2_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robbert_cosmetic_v2_finetuned RoBertaEmbeddings from ymelka
+author: John Snow Labs
+name: robbert_cosmetic_v2_finetuned
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_cosmetic_v2_finetuned` is a English model originally trained by ymelka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_cosmetic_v2_finetuned_en_5.5.0_3.0_1726934426072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_cosmetic_v2_finetuned_en_5.5.0_3.0_1726934426072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberdou_100k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|634.4 MB|
+
+## References
+
+https://huggingface.co/flavio-nakasato/roberdou_100k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberdou_100k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberdou_100k_pipeline_en.md
new file mode 100644
index 00000000000000..f23be44ffc9b90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberdou_100k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberdou_100k_pipeline pipeline RoBertaEmbeddings from flavio-nakasato
+author: John Snow Labs
+name: roberdou_100k_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberdou_100k_pipeline` is a English model originally trained by flavio-nakasato.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberdou_100k_pipeline_en_5.5.0_3.0_1726882127665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberdou_100k_pipeline_en_5.5.0_3.0_1726882127665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberdou_100k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberdou_100k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberdou_100k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|634.4 MB|
+
+## References
+
+https://huggingface.co/flavio-nakasato/roberdou_100k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_last_2_chars_acl2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_last_2_chars_acl2023_pipeline_en.md
new file mode 100644
index 00000000000000..5d4f649b2a2581
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_last_2_chars_acl2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_last_2_chars_acl2023_pipeline pipeline RoBertaEmbeddings from hitachi-nlp
+author: John Snow Labs
+name: roberta_base_last_2_chars_acl2023_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_last_2_chars_acl2023_pipeline` is a English model originally trained by hitachi-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_last_2_chars_acl2023_pipeline_en_5.5.0_3.0_1726934716722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_last_2_chars_acl2023_pipeline_en_5.5.0_3.0_1726934716722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_last_2_chars_acl2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_last_2_chars_acl2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_last_2_chars_acl2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_last-2-chars_acl2023
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_chunking_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_chunking_pipeline_en.md
new file mode 100644
index 00000000000000..f592baadcc022c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_chunking_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_chunking_pipeline pipeline BertForTokenClassification from mariolinml
+author: John Snow Labs
+name: roberta_large_finetuned_chunking_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_chunking_pipeline` is a English model originally trained by mariolinml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_chunking_pipeline_en_5.5.0_3.0_1726889568755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_chunking_pipeline_en_5.5.0_3.0_1726889568755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_chunking_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_chunking_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_chunking_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mariolinml/roberta-large-finetuned-chunking
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_tweet_topic_multi_2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_tweet_topic_multi_2020_pipeline_en.md
new file mode 100644
index 00000000000000..6ef70f3e3a8267
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_tweet_topic_multi_2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_tweet_topic_multi_2020_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_large_tweet_topic_multi_2020_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_tweet_topic_multi_2020_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_tweet_topic_multi_2020_pipeline_en_5.5.0_3.0_1726941042196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_tweet_topic_multi_2020_pipeline_en_5.5.0_3.0_1726941042196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_tweet_topic_multi_2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_tweet_topic_multi_2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_tweet_topic_multi_2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-large-tweet-topic-multi-2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_news_cnn_dailymail_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_news_cnn_dailymail_en.md
new file mode 100644
index 00000000000000..f56d652c79d774
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_news_cnn_dailymail_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_news_cnn_dailymail RoBertaEmbeddings from isarth
+author: John Snow Labs
+name: roberta_news_cnn_dailymail
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_news_cnn_dailymail` is a English model originally trained by isarth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_news_cnn_dailymail_en_5.5.0_3.0_1726943452670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_news_cnn_dailymail_en_5.5.0_3.0_1726943452670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_arabertmo_base_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_italian_cased_osiria_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_italian_cased_osiria_pipeline_it.md
new file mode 100644
index 00000000000000..8b28866da63fd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_italian_cased_osiria_pipeline_it.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Italian sent_bert_base_italian_cased_osiria_pipeline pipeline BertSentenceEmbeddings from osiria
+author: John Snow Labs
+name: sent_bert_base_italian_cased_osiria_pipeline
+date: 2024-09-21
+tags: [it, open_source, pipeline, onnx]
+task: Embeddings
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_italian_cased_osiria_pipeline` is a Italian model originally trained by osiria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_italian_cased_osiria_pipeline_it_5.5.0_3.0_1726898316037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_italian_cased_osiria_pipeline_it_5.5.0_3.0_1726898316037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_italian_cased_osiria_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_italian_cased_osiria_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_italian_cased_osiria_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/osiria/bert-base-italian-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_base_uncased_mean_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_base_uncased_mean_pipeline_en.md
new file mode 100644
index 00000000000000..00c35f6fdbe4ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_base_uncased_mean_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_defsent_bert_base_uncased_mean_pipeline pipeline BertSentenceEmbeddings from cl-nagoya
+author: John Snow Labs
+name: sent_defsent_bert_base_uncased_mean_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_defsent_bert_base_uncased_mean_pipeline` is a English model originally trained by cl-nagoya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_defsent_bert_base_uncased_mean_pipeline_en_5.5.0_3.0_1726941325000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_defsent_bert_base_uncased_mean_pipeline_en_5.5.0_3.0_1726941325000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_defsent_bert_base_uncased_mean_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_defsent_bert_base_uncased_mean_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_defsent_bert_base_uncased_mean_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/cl-nagoya/defsent-bert-base-uncased-mean
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-spanish_euph_classifier_final_en.md b/docs/_posts/ahmedlone127/2024-09-21-spanish_euph_classifier_final_en.md
new file mode 100644
index 00000000000000..daa4dba09aebff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-spanish_euph_classifier_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spanish_euph_classifier_final DistilBertForSequenceClassification from nhankins
+author: John Snow Labs
+name: spanish_euph_classifier_final
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_euph_classifier_final` is a English model originally trained by nhankins.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_euph_classifier_final_en_5.5.0_3.0_1726953595347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_euph_classifier_final_en_5.5.0_3.0_1726953595347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_euph_classifier_final|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/nhankins/es_euph_classifier_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-t_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-t_6_pipeline_en.md
new file mode 100644
index 00000000000000..e64e7102d2ab1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-t_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English t_6_pipeline pipeline RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_6_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_6_pipeline` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_6_pipeline_en_5.5.0_3.0_1726940696169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_6_pipeline_en_5.5.0_3.0_1726940696169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.3 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-toxic_comment_model_toxicity_ft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-toxic_comment_model_toxicity_ft_pipeline_en.md
new file mode 100644
index 00000000000000..21fceb423bf0a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-toxic_comment_model_toxicity_ft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English toxic_comment_model_toxicity_ft_pipeline pipeline DistilBertForSequenceClassification from fatmhd1995
+author: John Snow Labs
+name: toxic_comment_model_toxicity_ft_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_comment_model_toxicity_ft_pipeline` is a English model originally trained by fatmhd1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_comment_model_toxicity_ft_pipeline_en_5.5.0_3.0_1726953469297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_comment_model_toxicity_ft_pipeline_en_5.5.0_3.0_1726953469297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toxic_comment_model_toxicity_ft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toxic_comment_model_toxicity_ft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_comment_model_toxicity_ft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fatmhd1995/toxic-comment-model-TOXICITY-FT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_common_voice_16_portuguese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_common_voice_16_portuguese_pipeline_en.md
new file mode 100644
index 00000000000000..4d4eddc42b3255
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_common_voice_16_portuguese_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_common_voice_16_portuguese_pipeline pipeline WhisperForCTC from thiagobarbosa
+author: John Snow Labs
+name: whisper_base_common_voice_16_portuguese_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_common_voice_16_portuguese_pipeline` is a English model originally trained by thiagobarbosa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_16_portuguese_pipeline_en_5.5.0_3.0_1726911300347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_16_portuguese_pipeline_en_5.5.0_3.0_1726911300347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_common_voice_16_portuguese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_common_voice_16_portuguese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_common_voice_16_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|641.9 MB|
+
+## References
+
+https://huggingface.co/thiagobarbosa/whisper-base-common-voice-16-pt
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_hungarian_small_augmented_pipeline_hu.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_hungarian_small_augmented_pipeline_hu.md
new file mode 100644
index 00000000000000..fb698739cf0af1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_hungarian_small_augmented_pipeline_hu.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hungarian whisper_hungarian_small_augmented_pipeline pipeline WhisperForCTC from ALM
+author: John Snow Labs
+name: whisper_hungarian_small_augmented_pipeline
+date: 2024-09-21
+tags: [hu, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_hungarian_small_augmented_pipeline` is a Hungarian model originally trained by ALM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_hungarian_small_augmented_pipeline_hu_5.5.0_3.0_1726891298005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_hungarian_small_augmented_pipeline_hu_5.5.0_3.0_1726891298005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_hungarian_small_augmented_pipeline", lang = "hu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_hungarian_small_augmented_pipeline", lang = "hu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_hungarian_small_augmented_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hu|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ALM/whisper-hu-small-augmented
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_egy_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_egy_en.md
new file mode 100644
index 00000000000000..dfae756ac8278f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_egy_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_egy WhisperForCTC from HuggingPanda
+author: John Snow Labs
+name: whisper_small_egy
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_egy` is a English model originally trained by HuggingPanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_egy_en_5.5.0_3.0_1726939650502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_egy_en_5.5.0_3.0_1726939650502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_kannada|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|kn|
+|Size:|391.1 MB|
+
+## References
+
+https://huggingface.co/parambharat/whisper-tiny-kn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_mantisbt_test_content_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_mantisbt_test_content_cwadj_en.md
new file mode 100644
index 00000000000000..11ac93cfc9e79d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_mantisbt_test_content_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_mantisbt_test_content_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_mantisbt_test_content_cwadj
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_mantisbt_test_content_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mantisbt_test_content_cwadj_en_5.5.0_3.0_1726889061605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mantisbt_test_content_cwadj_en_5.5.0_3.0_1726889061605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_mantisbt_test_content_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-mantisbt_test-content-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_mantisbt_test_content_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_mantisbt_test_content_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..95e2cd62ef8888
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_mantisbt_test_content_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_mantisbt_test_content_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_mantisbt_test_content_cwadj_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_mantisbt_test_content_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mantisbt_test_content_cwadj_pipeline_en_5.5.0_3.0_1726889074296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mantisbt_test_content_cwadj_pipeline_en_5.5.0_3.0_1726889074296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_mantisbt_test_content_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_mantisbt_test_content_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_mantisbt_test_content_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-mantisbt_test-content-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_mixed_aug_insert_w2v_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_mixed_aug_insert_w2v_en.md
new file mode 100644
index 00000000000000..933ce9a2d1fc4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_mixed_aug_insert_w2v_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_mixed_aug_insert_w2v XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_mixed_aug_insert_w2v
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_balance_mixed_aug_insert_w2v` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_mixed_aug_insert_w2v_en_5.5.0_3.0_1726932368304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_mixed_aug_insert_w2v_en_5.5.0_3.0_1726932368304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_mixed_aug_insert_w2v|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.1 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_Mixed-aug_insert_w2v
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_all_sungkwangjoong_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_all_sungkwangjoong_en.md
new file mode 100644
index 00000000000000..28a19b0a01b796
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_all_sungkwangjoong_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_sungkwangjoong XlmRoBertaForTokenClassification from sungkwangjoong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_sungkwangjoong
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_sungkwangjoong` is a English model originally trained by sungkwangjoong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_sungkwangjoong_en_5.5.0_3.0_1726896607351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_sungkwangjoong_en_5.5.0_3.0_1726896607351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_sungkwangjoong|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|850.1 MB|
+
+## References
+
+https://huggingface.co/sungkwangjoong/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xnli_xlm_r_only_russian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xnli_xlm_r_only_russian_pipeline_en.md
new file mode 100644
index 00000000000000..b8c55ea8e96c5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xnli_xlm_r_only_russian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xnli_xlm_r_only_russian_pipeline pipeline XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_russian_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_russian_pipeline` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_russian_pipeline_en_5.5.0_3.0_1726933699607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_russian_pipeline_en_5.5.0_3.0_1726933699607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xnli_xlm_r_only_russian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xnli_xlm_r_only_russian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xnli_xlm_r_only_russian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|812.7 MB|
+
+## References
+
+https://huggingface.co/semindan/xnli_xlm_r_only_ru
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-2504separado3_en.md b/docs/_posts/ahmedlone127/2024-09-22-2504separado3_en.md
new file mode 100644
index 00000000000000..48b05d59a04e84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-2504separado3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2504separado3 RoBertaForSequenceClassification from adriansanz
+author: John Snow Labs
+name: 2504separado3
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2504separado3` is a English model originally trained by adriansanz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2504separado3_en_5.5.0_3.0_1726972448562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2504separado3_en_5.5.0_3.0_1726972448562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2504separado3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.4 MB|
+
+## References
+
+https://huggingface.co/adriansanz/2504separado3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-adrv2_en.md b/docs/_posts/ahmedlone127/2024-09-22-adrv2_en.md
new file mode 100644
index 00000000000000..24ebcea23df9bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-adrv2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adrv2 RoBertaForSequenceClassification from bqr5tf
+author: John Snow Labs
+name: adrv2
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adrv2` is a English model originally trained by bqr5tf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adrv2_en_5.5.0_3.0_1726971790656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adrv2_en_5.5.0_3.0_1726971790656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adrv2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bqr5tf/ADRv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-ai_text_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-ai_text_model_pipeline_en.md
new file mode 100644
index 00000000000000..e22144e8b4750f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-ai_text_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ai_text_model_pipeline pipeline BertForSequenceClassification from KaranNag
+author: John Snow Labs
+name: ai_text_model_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_text_model_pipeline` is a English model originally trained by KaranNag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_text_model_pipeline_en_5.5.0_3.0_1727032354740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_text_model_pipeline_en_5.5.0_3.0_1727032354740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ai_text_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ai_text_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_text_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/KaranNag/Ai_text_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-anakilang_kelas_ai_en.md b/docs/_posts/ahmedlone127/2024-09-22-anakilang_kelas_ai_en.md
new file mode 100644
index 00000000000000..5aac0cd671dd1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-anakilang_kelas_ai_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English anakilang_kelas_ai RoBertaForSequenceClassification from GilarYa
+author: John Snow Labs
+name: anakilang_kelas_ai
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anakilang_kelas_ai` is a English model originally trained by GilarYa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anakilang_kelas_ai_en_5.5.0_3.0_1727017587303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anakilang_kelas_ai_en_5.5.0_3.0_1727017587303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anakilang_kelas_ai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|432.6 MB|
+
+## References
+
+https://huggingface.co/GilarYa/anakilang-kelas-ai
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-anakilang_kelas_ai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-anakilang_kelas_ai_pipeline_en.md
new file mode 100644
index 00000000000000..dbaedacd8bca88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-anakilang_kelas_ai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English anakilang_kelas_ai_pipeline pipeline RoBertaForSequenceClassification from GilarYa
+author: John Snow Labs
+name: anakilang_kelas_ai_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anakilang_kelas_ai_pipeline` is a English model originally trained by GilarYa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anakilang_kelas_ai_pipeline_en_5.5.0_3.0_1727017611434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anakilang_kelas_ai_pipeline_en_5.5.0_3.0_1727017611434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("anakilang_kelas_ai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("anakilang_kelas_ai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anakilang_kelas_ai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|432.6 MB|
+
+## References
+
+https://huggingface.co/GilarYa/anakilang-kelas-ai
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-authdetect_test_en.md b/docs/_posts/ahmedlone127/2024-09-22-authdetect_test_en.md
new file mode 100644
index 00000000000000..2a31badf994be0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-authdetect_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English authdetect_test RoBertaForSequenceClassification from mmochtak
+author: John Snow Labs
+name: authdetect_test
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`authdetect_test` is a English model originally trained by mmochtak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/authdetect_test_en_5.5.0_3.0_1726967649157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/authdetect_test_en_5.5.0_3.0_1726967649157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|authdetect_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|459.6 MB|
+
+## References
+
+https://huggingface.co/mmochtak/authdetect_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_runaways_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_runaways_pipeline_en.md
new file mode 100644
index 00000000000000..b59ac425089ef6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_runaways_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_runaways_pipeline pipeline BertForQuestionAnswering from Nadav
+author: John Snow Labs
+name: bert_base_cased_finetuned_runaways_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_runaways_pipeline` is a English model originally trained by Nadav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_runaways_pipeline_en_5.5.0_3.0_1726991687595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_runaways_pipeline_en_5.5.0_3.0_1726991687595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_finetuned_runaways_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_runaways_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_runaways_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Nadav/bert-base-cased-finetuned-runaways
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_local_results_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_local_results_en.md
new file mode 100644
index 00000000000000..42aff594170361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_local_results_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_local_results BertForSequenceClassification from serpapi
+author: John Snow Labs
+name: bert_base_local_results
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_local_results` is a English model originally trained by serpapi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_local_results_en_5.5.0_3.0_1726976498295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_local_results_en_5.5.0_3.0_1726976498295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_320240905172321|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.320240905172321
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline_en.md
new file mode 100644
index 00000000000000..fd977c7362adfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline_en_5.5.0_3.0_1727039546460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline_en_5.5.0_3.0_1727039546460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240915122349_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240915122349
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en.md
new file mode 100644
index 00000000000000..d9563946c02d15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en_5.5.0_3.0_1727042295759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline_en_5.5.0_3.0_1727042295759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_2_25_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-2.25-b-32-lr-1.2e-06-dp-0.3-ss-0-st-False-fh-False-hs-600
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline_en.md
new file mode 100644
index 00000000000000..3540bbd99dd887
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline_en_5.5.0_3.0_1726992461663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline_en_5.5.0_3.0_1726992461663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-1e-05-wd-0.001-dp-0.99999-ss-300
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline_en.md
new file mode 100644
index 00000000000000..b7b0838c55361d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline_en_5.5.0_3.0_1727042463983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline_en_5.5.0_3.0_1727042463983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_500_southern_sotho_true_fh_true_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-1e-06-wd-0.001-dp-0.2-ss-500-st-True-fh-True
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_cola_ardaaras99_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_cola_ardaaras99_en.md
new file mode 100644
index 00000000000000..5d2b88d503657e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_cola_ardaaras99_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_ardaaras99 BertForSequenceClassification from ardaaras99
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_ardaaras99
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_ardaaras99` is a English model originally trained by ardaaras99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ardaaras99_en_5.5.0_3.0_1726990987635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ardaaras99_en_5.5.0_3.0_1726990987635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_ardaaras99|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ardaaras99/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_squad2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_squad2_pipeline_en.md
new file mode 100644
index 00000000000000..8d44395f24b6cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_squad2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_squad2_pipeline pipeline BertForQuestionAnswering from thewiz
+author: John Snow Labs
+name: bert_base_uncased_finetuned_squad2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_squad2_pipeline` is a English model originally trained by thewiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_squad2_pipeline_en_5.5.0_3.0_1727042325859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_squad2_pipeline_en_5.5.0_3.0_1727042325859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_squad2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_squad2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_squad2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/thewiz/bert-base-uncased-finetuned-squad2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_squad_v1_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_squad_v1_en.md
new file mode 100644
index 00000000000000..ec007aba1d3fef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_squad_v1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_squad_v1 BertForQuestionAnswering from helenai
+author: John Snow Labs
+name: bert_base_uncased_squad_v1
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_squad_v1` is a English model originally trained by helenai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_squad_v1_en_5.5.0_3.0_1726978429264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_squad_v1_en_5.5.0_3.0_1726978429264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_squad_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/helenai/bert-base-uncased-squad-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_legalentity_ner_accelerate_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_legalentity_ner_accelerate_en.md
new file mode 100644
index 00000000000000..2fefb5d499b6c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_legalentity_ner_accelerate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_legalentity_ner_accelerate BertForTokenClassification from aimlnerd
+author: John Snow Labs
+name: bert_finetuned_legalentity_ner_accelerate
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_legalentity_ner_accelerate` is a English model originally trained by aimlnerd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_legalentity_ner_accelerate_en_5.5.0_3.0_1727045873689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_legalentity_ner_accelerate_en_5.5.0_3.0_1727045873689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_legalentity_ner_accelerate|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/aimlnerd/bert-finetuned-legalentity-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_legalentity_ner_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_legalentity_ner_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..f1099c1d3a5eee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_legalentity_ner_accelerate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_legalentity_ner_accelerate_pipeline pipeline BertForTokenClassification from aimlnerd
+author: John Snow Labs
+name: bert_finetuned_legalentity_ner_accelerate_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_legalentity_ner_accelerate_pipeline` is a English model originally trained by aimlnerd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_legalentity_ner_accelerate_pipeline_en_5.5.0_3.0_1727045893745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_legalentity_ner_accelerate_pipeline_en_5.5.0_3.0_1727045893745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_legalentity_ner_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_legalentity_ner_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_legalentity_ner_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/aimlnerd/bert-finetuned-legalentity-ner-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_ner_koakande_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_ner_koakande_pipeline_en.md
new file mode 100644
index 00000000000000..d3f1e40e49e12b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_ner_koakande_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_koakande_pipeline pipeline BertForTokenClassification from koakande
+author: John Snow Labs
+name: bert_finetuned_ner_koakande_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_koakande_pipeline` is a English model originally trained by koakande.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_koakande_pipeline_en_5.5.0_3.0_1727045459415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_koakande_pipeline_en_5.5.0_3.0_1727045459415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_koakande_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_koakande_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_koakande_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/koakande/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_sql_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_sql_en.md
new file mode 100644
index 00000000000000..56d6e2ad31ab35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_sql_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_finetuned_sql BertForQuestionAnswering from AlexYang33
+author: John Snow Labs
+name: bert_finetuned_sql
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_sql` is a English model originally trained by AlexYang33.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_sql_en_5.5.0_3.0_1726978413801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_sql_en_5.5.0_3.0_1726978413801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_sql|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AlexYang33/bert-finetuned-sql
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_racial_bias_model_80_0k_samples_fold_2_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_racial_bias_model_80_0k_samples_fold_2_en.md
new file mode 100644
index 00000000000000..728314f278fe7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_racial_bias_model_80_0k_samples_fold_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_racial_bias_model_80_0k_samples_fold_2 DistilBertForSequenceClassification from jamnik99
+author: John Snow Labs
+name: bert_racial_bias_model_80_0k_samples_fold_2
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_racial_bias_model_80_0k_samples_fold_2` is a English model originally trained by jamnik99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_racial_bias_model_80_0k_samples_fold_2_en_5.5.0_3.0_1727020980716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_racial_bias_model_80_0k_samples_fold_2_en_5.5.0_3.0_1727020980716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_racial_bias_model_80_0k_samples_fold_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jamnik99/BERT-racial_bias_model_80.0K_samples_fold_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_ian_ailex_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_ian_ailex_pipeline_en.md
new file mode 100644
index 00000000000000..5786f86531bc52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_ian_ailex_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_ian_ailex_pipeline pipeline DistilBertForSequenceClassification from Ian-AILex
+author: John Snow Labs
+name: burmese_awesome_model_ian_ailex_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ian_ailex_pipeline` is a English model originally trained by Ian-AILex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ian_ailex_pipeline_en_5.5.0_3.0_1727021023167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ian_ailex_pipeline_en_5.5.0_3.0_1727021023167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_ian_ailex_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_ian_ailex_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ian_ailex_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ian-AILex/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_jimmy77777_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_jimmy77777_en.md
new file mode 100644
index 00000000000000..76dbec4d3038f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_jimmy77777_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_jimmy77777 DistilBertForSequenceClassification from Jimmy77777
+author: John Snow Labs
+name: burmese_awesome_model_jimmy77777
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jimmy77777` is a English model originally trained by Jimmy77777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jimmy77777_en_5.5.0_3.0_1727033372711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jimmy77777_en_5.5.0_3.0_1727033372711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_jimmy77777|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Jimmy77777/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_ollamh_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_ollamh_en.md
new file mode 100644
index 00000000000000..25398b465d40cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_ollamh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_ollamh DistilBertForSequenceClassification from ollamh
+author: John Snow Labs
+name: burmese_awesome_model_ollamh
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ollamh` is a English model originally trained by ollamh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ollamh_en_5.5.0_3.0_1727012676620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ollamh_en_5.5.0_3.0_1727012676620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_question_answering_model5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ashkh0099/my-bert-question-answering-model5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_fine_tuned_distilbert_lr_1e_05_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_fine_tuned_distilbert_lr_1e_05_en.md
new file mode 100644
index 00000000000000..2eff3bfc08a093
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_fine_tuned_distilbert_lr_1e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_fine_tuned_distilbert_lr_1e_05 DistilBertForSequenceClassification from Benuehlinger
+author: John Snow Labs
+name: burmese_fine_tuned_distilbert_lr_1e_05
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_fine_tuned_distilbert_lr_1e_05` is a English model originally trained by Benuehlinger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_fine_tuned_distilbert_lr_1e_05_en_5.5.0_3.0_1727020895549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_fine_tuned_distilbert_lr_1e_05_en_5.5.0_3.0_1727020895549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|defsent_roberta_base_mean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|413.1 MB|
+
+## References
+
+https://huggingface.co/cl-nagoya/defsent-roberta-base-mean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-demo_mangowly_en.md b/docs/_posts/ahmedlone127/2024-09-22-demo_mangowly_en.md
new file mode 100644
index 00000000000000..df7cea8027a88e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-demo_mangowly_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English demo_mangowly DistilBertForSequenceClassification from mangowly
+author: John Snow Labs
+name: demo_mangowly
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_mangowly` is a English model originally trained by mangowly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_mangowly_en_5.5.0_3.0_1727033601485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_mangowly_en_5.5.0_3.0_1727033601485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_mangowly|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.6 MB|
+
+## References
+
+https://huggingface.co/mangowly/demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-demo_mangowly_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-demo_mangowly_pipeline_en.md
new file mode 100644
index 00000000000000..1471ad3990bcfd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-demo_mangowly_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English demo_mangowly_pipeline pipeline DistilBertForSequenceClassification from mangowly
+author: John Snow Labs
+name: demo_mangowly_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_mangowly_pipeline` is a English model originally trained by mangowly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_mangowly_pipeline_en_5.5.0_3.0_1727033619846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_mangowly_pipeline_en_5.5.0_3.0_1727033619846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("demo_mangowly_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("demo_mangowly_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_mangowly_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.6 MB|
+
+## References
+
+https://huggingface.co/mangowly/demo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_cased_sst2_ft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_cased_sst2_ft_pipeline_en.md
new file mode 100644
index 00000000000000..2e70b3bf04eb49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_cased_sst2_ft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_cased_sst2_ft_pipeline pipeline DistilBertForSequenceClassification from EgehanEralp
+author: John Snow Labs
+name: distilbert_base_cased_sst2_ft_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_sst2_ft_pipeline` is a English model originally trained by EgehanEralp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_sst2_ft_pipeline_en_5.5.0_3.0_1726980645033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_sst2_ft_pipeline_en_5.5.0_3.0_1726980645033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_sst2_ft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_sst2_ft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_sst2_ft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/EgehanEralp/distilbert-base-cased-sst2-ft
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_finetuned_imdb_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_finetuned_imdb_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..2f53e452947857
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_finetuned_imdb_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_finetuned_imdb_sentiment_pipeline pipeline DistilBertForSequenceClassification from lyrisha
+author: John Snow Labs
+name: distilbert_base_finetuned_imdb_sentiment_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_finetuned_imdb_sentiment_pipeline` is a English model originally trained by lyrisha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_finetuned_imdb_sentiment_pipeline_en_5.5.0_3.0_1727033368157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_finetuned_imdb_sentiment_pipeline_en_5.5.0_3.0_1727033368157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_finetuned_imdb_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_finetuned_imdb_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_finetuned_imdb_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lyrisha/distilbert-base-finetuned-imdb-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_3epoch5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_3epoch5_pipeline_en.md
new file mode 100644
index 00000000000000..0237b2100c3897
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_3epoch5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_3epoch5_pipeline pipeline DistilBertForSequenceClassification from dianamihalache27
+author: John Snow Labs
+name: distilbert_base_uncased_3epoch5_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_3epoch5_pipeline` is a English model originally trained by dianamihalache27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch5_pipeline_en_5.5.0_3.0_1727035596787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch5_pipeline_en_5.5.0_3.0_1727035596787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_3epoch5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_3epoch5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_3epoch5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dianamihalache27/distilbert-base-uncased_3epoch5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..926d8d8e9825df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline_en_5.5.0_3.0_1727033826204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline_en_5.5.0_3.0_1727033826204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_banking_zphr_0st72_ut72ut1_plain_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_banking_zphr_0st72_ut72ut1_plain_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_distilled_clinc_dro14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_distilled_clinc_dro14_pipeline_en.md
new file mode 100644
index 00000000000000..709f8497cf29e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_distilled_clinc_dro14_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_dro14_pipeline pipeline DistilBertForSequenceClassification from dro14
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_dro14_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_dro14_pipeline` is a English model originally trained by dro14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_dro14_pipeline_en_5.5.0_3.0_1726980434719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_dro14_pipeline_en_5.5.0_3.0_1726980434719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_clinc_dro14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_clinc_dro14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_dro14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/dro14/distilbert-base-uncased-distilled-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline_en.md
new file mode 100644
index 00000000000000..2125118e638801
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline pipeline DistilBertForSequenceClassification from BensonHugging
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline` is a English model originally trained by BensonHugging.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline_en_5.5.0_3.0_1727033274639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline_en_5.5.0_3.0_1727033274639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_bensonhugging_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BensonHugging/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_evernight017_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_evernight017_pipeline_en.md
new file mode 100644
index 00000000000000..5bc32c715c35d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_evernight017_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_evernight017_pipeline pipeline DistilBertForSequenceClassification from evernight017
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_evernight017_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_evernight017_pipeline` is a English model originally trained by evernight017.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_evernight017_pipeline_en_5.5.0_3.0_1727035071619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_evernight017_pipeline_en_5.5.0_3.0_1727035071619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_evernight017_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_evernight017_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_evernight017_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/evernight017/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_jason_oh_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_jason_oh_en.md
new file mode 100644
index 00000000000000..b7b5f9bf80c7e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_jason_oh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jason_oh DistilBertForSequenceClassification from Jason-Oh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jason_oh
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jason_oh` is a English model originally trained by Jason-Oh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jason_oh_en_5.5.0_3.0_1727020892721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jason_oh_en_5.5.0_3.0_1727020892721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jason_oh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Jason-Oh/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline_en.md
new file mode 100644
index 00000000000000..5051a44bddca0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline pipeline DistilBertForSequenceClassification from LeBruse
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline` is a English model originally trained by LeBruse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline_en_5.5.0_3.0_1727020590064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline_en_5.5.0_3.0_1727020590064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_overall_4_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LeBruse/distilbert-base-uncased-finetuned-emotion-overall-4.0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_souling_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_souling_pipeline_en.md
new file mode 100644
index 00000000000000..849c52f24f5d56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_souling_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_souling_pipeline pipeline DistilBertForSequenceClassification from souling
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_souling_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_souling_pipeline` is a English model originally trained by souling.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_souling_pipeline_en_5.5.0_3.0_1726980728475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_souling_pipeline_en_5.5.0_3.0_1726980728475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_souling_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_souling_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_souling_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/souling/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline_en.md
new file mode 100644
index 00000000000000..ec283c84d03f14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline pipeline DistilBertForSequenceClassification from yamaguchi-kota
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline` is a English model originally trained by yamaguchi-kota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline_en_5.5.0_3.0_1727012355775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline_en_5.5.0_3.0_1727012355775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_yamaguchi_kota_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yamaguchi-kota/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_yashcfc_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_yashcfc_en.md
new file mode 100644
index 00000000000000..e3e0b63da1ae24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_yashcfc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_yashcfc DistilBertForSequenceClassification from yashcfc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_yashcfc
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yashcfc` is a English model originally trained by yashcfc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yashcfc_en_5.5.0_3.0_1727033132643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yashcfc_en_5.5.0_3.0_1727033132643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_yashcfc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yashcfc/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotions_fibleep_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotions_fibleep_pipeline_en.md
new file mode 100644
index 00000000000000..7dda42573b11dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotions_fibleep_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_fibleep_pipeline pipeline DistilBertForSequenceClassification from fibleep
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_fibleep_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_fibleep_pipeline` is a English model originally trained by fibleep.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_fibleep_pipeline_en_5.5.0_3.0_1727035267304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_fibleep_pipeline_en_5.5.0_3.0_1727035267304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_fibleep_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_fibleep_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_fibleep_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fibleep/distilbert-base-uncased-finetuned-emotions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..4e431e07531d89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1727033467897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1727033467897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st13sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st13sd_ut72ut5_PLPrefix0stlarge_simsp100_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..356988e65e1e70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1726980337774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1726980337774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1largepfxnf_simsp300_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st5sd_ut72ut1largePfxNf_simsp300_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..5264ea709df924
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline_en_5.5.0_3.0_1727021076209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline_en_5.5.0_3.0_1727021076209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut72ut1_plain_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut72ut1_plain_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_batch_size_64_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_batch_size_64_pipeline_en.md
new file mode 100644
index 00000000000000..7d6cd8859aaa06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_batch_size_64_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_batch_size_64_pipeline pipeline DistilBertForSequenceClassification from K-kiron
+author: John Snow Labs
+name: distilbert_batch_size_64_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_batch_size_64_pipeline` is a English model originally trained by K-kiron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_batch_size_64_pipeline_en_5.5.0_3.0_1727012247031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_batch_size_64_pipeline_en_5.5.0_3.0_1727012247031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_batch_size_64_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_batch_size_64_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_batch_size_64_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/K-kiron/distilbert-batch-size-64
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_finetuned_imdb_sentiment_omalve_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_finetuned_imdb_sentiment_omalve_pipeline_en.md
new file mode 100644
index 00000000000000..7ee51c1c97f87f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_finetuned_imdb_sentiment_omalve_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sentiment_omalve_pipeline pipeline DistilBertForSequenceClassification from OmAlve
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sentiment_omalve_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sentiment_omalve_pipeline` is a English model originally trained by OmAlve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_omalve_pipeline_en_5.5.0_3.0_1727035193447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_omalve_pipeline_en_5.5.0_3.0_1727035193447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_imdb_sentiment_omalve_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_imdb_sentiment_omalve_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sentiment_omalve_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/OmAlve/distilbert-finetuned-imdb-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192_en.md
new file mode 100644
index 00000000000000..491c9ca4624886
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192_en_5.5.0_3.0_1727033792143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192_en_5.5.0_3.0_1727033792143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_mnli_192|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_mnli_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline_en.md
new file mode 100644
index 00000000000000..b1ed0dc06c7dad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline_en_5.5.0_3.0_1726980512398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline_en_5.5.0_3.0_1726980512398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mnli_256_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|71.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_mnli_256
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256_en.md
new file mode 100644
index 00000000000000..4c385b7afc0b9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256_en_5.5.0_3.0_1727020578387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256_en_5.5.0_3.0_1727020578387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_qqp_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_qqp_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline_en.md
new file mode 100644
index 00000000000000..e6f719c17bcf86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline pipeline RoBertaEmbeddings from happybusinessperson
+author: John Snow Labs
+name: distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline` is a English model originally trained by happybusinessperson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline_en_5.5.0_3.0_1726999940632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline_en_5.5.0_3.0_1726999940632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_leftarticles_mlm_epochier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/happybusinessperson/distilroberta-base-finetuned-leftarticles-mlm-epochier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-drug_ner_cat_v1_ca.md b/docs/_posts/ahmedlone127/2024-09-22-drug_ner_cat_v1_ca.md
new file mode 100644
index 00000000000000..ae1af2d356094b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-drug_ner_cat_v1_ca.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Catalan, Valencian drug_ner_cat_v1 RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: drug_ner_cat_v1
+date: 2024-09-22
+tags: [ca, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: ca
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`drug_ner_cat_v1` is a Catalan, Valencian model originally trained by BSC-NLP4BIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/drug_ner_cat_v1_ca_5.5.0_3.0_1727048485082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/drug_ner_cat_v1_ca_5.5.0_3.0_1727048485082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|drug_ner_cat_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|ca|
+|Size:|436.0 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/drug-ner-cat-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-elatable_lp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-elatable_lp_pipeline_en.md
new file mode 100644
index 00000000000000..488014362f2d1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-elatable_lp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English elatable_lp_pipeline pipeline DistilBertForSequenceClassification from gaborcselle
+author: John Snow Labs
+name: elatable_lp_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`elatable_lp_pipeline` is a English model originally trained by gaborcselle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/elatable_lp_pipeline_en_5.5.0_3.0_1726980596925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/elatable_lp_pipeline_en_5.5.0_3.0_1726980596925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("elatable_lp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("elatable_lp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|elatable_lp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gaborcselle/elatable-lp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-fakenews_roberta_large_grad_en.md b/docs/_posts/ahmedlone127/2024-09-22-fakenews_roberta_large_grad_en.md
new file mode 100644
index 00000000000000..695cfb565c820c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-fakenews_roberta_large_grad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fakenews_roberta_large_grad RoBertaForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_roberta_large_grad
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenews_roberta_large_grad` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_roberta_large_grad_en_5.5.0_3.0_1727037590807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_roberta_large_grad_en_5.5.0_3.0_1727037590807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_roberta_large_grad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-roberta-large-grad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-films_hate_offensive_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-films_hate_offensive_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..842c2a3b8e8fb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-films_hate_offensive_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English films_hate_offensive_roberta_pipeline pipeline RoBertaForSequenceClassification from esmarquez17
+author: John Snow Labs
+name: films_hate_offensive_roberta_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`films_hate_offensive_roberta_pipeline` is a English model originally trained by esmarquez17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/films_hate_offensive_roberta_pipeline_en_5.5.0_3.0_1726972235315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/films_hate_offensive_roberta_pipeline_en_5.5.0_3.0_1726972235315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("films_hate_offensive_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("films_hate_offensive_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|films_hate_offensive_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|448.5 MB|
+
+## References
+
+https://huggingface.co/esmarquez17/films-hate-offensive-roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-final_model_thebisso09_en.md b/docs/_posts/ahmedlone127/2024-09-22-final_model_thebisso09_en.md
new file mode 100644
index 00000000000000..10f2a20641daf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-final_model_thebisso09_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English final_model_thebisso09 DistilBertForSequenceClassification from Thebisso09
+author: John Snow Labs
+name: final_model_thebisso09
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_model_thebisso09` is a English model originally trained by Thebisso09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_model_thebisso09_en_5.5.0_3.0_1727033708824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_model_thebisso09_en_5.5.0_3.0_1727033708824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_model_thebisso09|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Thebisso09/final_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetune_distilbert_sst_avalinguo_fluency_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetune_distilbert_sst_avalinguo_fluency_pipeline_en.md
new file mode 100644
index 00000000000000..2b6a0fe2b6aec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetune_distilbert_sst_avalinguo_fluency_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetune_distilbert_sst_avalinguo_fluency_pipeline pipeline DistilBertForSequenceClassification from papasega
+author: John Snow Labs
+name: finetune_distilbert_sst_avalinguo_fluency_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_distilbert_sst_avalinguo_fluency_pipeline` is a English model originally trained by papasega.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_distilbert_sst_avalinguo_fluency_pipeline_en_5.5.0_3.0_1726980011756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_distilbert_sst_avalinguo_fluency_pipeline_en_5.5.0_3.0_1726980011756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetune_distilbert_sst_avalinguo_fluency_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetune_distilbert_sst_avalinguo_fluency_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetune_distilbert_sst_avalinguo_fluency_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/papasega/finetune_Distilbert_SST_Avalinguo_Fluency
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetuned_demo_2x_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetuned_demo_2x_pipeline_en.md
new file mode 100644
index 00000000000000..34cd4be0125601
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetuned_demo_2x_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_demo_2x_pipeline pipeline DistilBertForSequenceClassification from nardellu
+author: John Snow Labs
+name: finetuned_demo_2x_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_demo_2x_pipeline` is a English model originally trained by nardellu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_demo_2x_pipeline_en_5.5.0_3.0_1727020669354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_demo_2x_pipeline_en_5.5.0_3.0_1727020669354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_demo_2x_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_demo_2x_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_demo_2x_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/nardellu/finetuned_demo_2X
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_ammarasmro_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_ammarasmro_pipeline_en.md
new file mode 100644
index 00000000000000..9e471f0e9512fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_ammarasmro_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ammarasmro_pipeline pipeline DistilBertForSequenceClassification from ammarasmro
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ammarasmro_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ammarasmro_pipeline` is a English model originally trained by ammarasmro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ammarasmro_pipeline_en_5.5.0_3.0_1727012809317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ammarasmro_pipeline_en_5.5.0_3.0_1727012809317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_ammarasmro_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_ammarasmro_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ammarasmro_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ammarasmro/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_qiuxuan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_qiuxuan_pipeline_en.md
new file mode 100644
index 00000000000000..a2e42faff1aae5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_qiuxuan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_qiuxuan_pipeline pipeline DistilBertForSequenceClassification from Qiuxuan
+author: John Snow Labs
+name: finetuning_sentiment_model_qiuxuan_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_qiuxuan_pipeline` is a English model originally trained by Qiuxuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_qiuxuan_pipeline_en_5.5.0_3.0_1726980567325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_qiuxuan_pipeline_en_5.5.0_3.0_1726980567325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_qiuxuan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_qiuxuan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_qiuxuan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Qiuxuan/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-frugalscore_medium_roberta_bert_score_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-frugalscore_medium_roberta_bert_score_pipeline_en.md
new file mode 100644
index 00000000000000..bc3519dd126394
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-frugalscore_medium_roberta_bert_score_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English frugalscore_medium_roberta_bert_score_pipeline pipeline BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_medium_roberta_bert_score_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frugalscore_medium_roberta_bert_score_pipeline` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_medium_roberta_bert_score_pipeline_en_5.5.0_3.0_1727034489087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_medium_roberta_bert_score_pipeline_en_5.5.0_3.0_1727034489087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("frugalscore_medium_roberta_bert_score_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("frugalscore_medium_roberta_bert_score_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_medium_roberta_bert_score_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|155.2 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_medium_roberta_bert-score
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-hate_hate_random2_seed2_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-22-hate_hate_random2_seed2_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 00000000000000..6981e8b1e9d146
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-hate_hate_random2_seed2_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random2_seed2_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random2_seed2_twitter_roberta_large_2022_154m
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random2_seed2_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed2_twitter_roberta_large_2022_154m_en_5.5.0_3.0_1727027417241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed2_twitter_roberta_large_2022_154m_en_5.5.0_3.0_1727027417241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random2_seed2_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random2_seed2-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-hw01_acezkevinz_en.md b/docs/_posts/ahmedlone127/2024-09-22-hw01_acezkevinz_en.md
new file mode 100644
index 00000000000000..58fd80985a94ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-hw01_acezkevinz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hw01_acezkevinz DistilBertForSequenceClassification from AcEzKeViNz
+author: John Snow Labs
+name: hw01_acezkevinz
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw01_acezkevinz` is a English model originally trained by AcEzKeViNz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw01_acezkevinz_en_5.5.0_3.0_1727033596874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw01_acezkevinz_en_5.5.0_3.0_1727033596874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw01_acezkevinz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AcEzKeViNz/HW01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-hw01_acezkevinz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-hw01_acezkevinz_pipeline_en.md
new file mode 100644
index 00000000000000..0d7433a3c83e33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-hw01_acezkevinz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw01_acezkevinz_pipeline pipeline DistilBertForSequenceClassification from AcEzKeViNz
+author: John Snow Labs
+name: hw01_acezkevinz_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw01_acezkevinz_pipeline` is a English model originally trained by AcEzKeViNz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw01_acezkevinz_pipeline_en_5.5.0_3.0_1727033618897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw01_acezkevinz_pipeline_en_5.5.0_3.0_1727033618897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw01_acezkevinz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw01_acezkevinz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw01_acezkevinz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AcEzKeViNz/HW01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-imdbreviews_classification_roberta_v02_clf_finetuning_en.md b/docs/_posts/ahmedlone127/2024-09-22-imdbreviews_classification_roberta_v02_clf_finetuning_en.md
new file mode 100644
index 00000000000000..3a4a5b2dfba5b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-imdbreviews_classification_roberta_v02_clf_finetuning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdbreviews_classification_roberta_v02_clf_finetuning RoBertaForSequenceClassification from darmendarizp
+author: John Snow Labs
+name: imdbreviews_classification_roberta_v02_clf_finetuning
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_roberta_v02_clf_finetuning` is a English model originally trained by darmendarizp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v02_clf_finetuning_en_5.5.0_3.0_1727017298269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v02_clf_finetuning_en_5.5.0_3.0_1727017298269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_roberta_v02_clf_finetuning|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/darmendarizp/imdbreviews_classification_roberta_v02_clf_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-insta_sentiment_distill_roberta_custom_data_en.md b/docs/_posts/ahmedlone127/2024-09-22-insta_sentiment_distill_roberta_custom_data_en.md
new file mode 100644
index 00000000000000..038f1cc1ddd5a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-insta_sentiment_distill_roberta_custom_data_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English insta_sentiment_distill_roberta_custom_data RoBertaForSequenceClassification from davin45
+author: John Snow Labs
+name: insta_sentiment_distill_roberta_custom_data
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insta_sentiment_distill_roberta_custom_data` is a English model originally trained by davin45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_custom_data_en_5.5.0_3.0_1727037296932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_custom_data_en_5.5.0_3.0_1727037296932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insta_sentiment_distill_roberta_custom_data|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/davin45/insta-sentiment-distill-roberta-custom_data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-insta_sentiment_distill_roberta_custom_data_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-insta_sentiment_distill_roberta_custom_data_pipeline_en.md
new file mode 100644
index 00000000000000..f3ed73a8ca83ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-insta_sentiment_distill_roberta_custom_data_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English insta_sentiment_distill_roberta_custom_data_pipeline pipeline RoBertaForSequenceClassification from davin45
+author: John Snow Labs
+name: insta_sentiment_distill_roberta_custom_data_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insta_sentiment_distill_roberta_custom_data_pipeline` is a English model originally trained by davin45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_custom_data_pipeline_en_5.5.0_3.0_1727037316796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_custom_data_pipeline_en_5.5.0_3.0_1727037316796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("insta_sentiment_distill_roberta_custom_data_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("insta_sentiment_distill_roberta_custom_data_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insta_sentiment_distill_roberta_custom_data_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/davin45/insta-sentiment-distill-roberta-custom_data
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-javanese_bert_small_imdb_classifier_pipeline_jv.md b/docs/_posts/ahmedlone127/2024-09-22-javanese_bert_small_imdb_classifier_pipeline_jv.md
new file mode 100644
index 00000000000000..e9b581cb1aa115
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-javanese_bert_small_imdb_classifier_pipeline_jv.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Javanese javanese_bert_small_imdb_classifier_pipeline pipeline BertForSequenceClassification from w11wo
+author: John Snow Labs
+name: javanese_bert_small_imdb_classifier_pipeline
+date: 2024-09-22
+tags: [jv, open_source, pipeline, onnx]
+task: Text Classification
+language: jv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`javanese_bert_small_imdb_classifier_pipeline` is a Javanese model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/javanese_bert_small_imdb_classifier_pipeline_jv_5.5.0_3.0_1727032178801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/javanese_bert_small_imdb_classifier_pipeline_jv_5.5.0_3.0_1727032178801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("javanese_bert_small_imdb_classifier_pipeline", lang = "jv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("javanese_bert_small_imdb_classifier_pipeline", lang = "jv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|javanese_bert_small_imdb_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|jv|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/w11wo/javanese-bert-small-imdb-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-jobclassifier_v2_en.md b/docs/_posts/ahmedlone127/2024-09-22-jobclassifier_v2_en.md
new file mode 100644
index 00000000000000..da2ee5a441db8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-jobclassifier_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English jobclassifier_v2 BertForSequenceClassification from CleveGreen
+author: John Snow Labs
+name: jobclassifier_v2
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jobclassifier_v2` is a English model originally trained by CleveGreen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobclassifier_v2_en_5.5.0_3.0_1727030597140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobclassifier_v2_en_5.5.0_3.0_1727030597140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobclassifier_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.3 MB|
+
+## References
+
+https://huggingface.co/CleveGreen/JobClassifier_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-llm_project_en.md b/docs/_posts/ahmedlone127/2024-09-22-llm_project_en.md
new file mode 100644
index 00000000000000..1447110116642c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-llm_project_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English llm_project DistilBertForSequenceClassification from ThuyTran102
+author: John Snow Labs
+name: llm_project
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llm_project` is a English model originally trained by ThuyTran102.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llm_project_en_5.5.0_3.0_1727020559412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llm_project_en_5.5.0_3.0_1727020559412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|llm_project|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ThuyTran102/LLM_project
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-mmarco_mminilmv2_l12_h384_v1_en.md b/docs/_posts/ahmedlone127/2024-09-22-mmarco_mminilmv2_l12_h384_v1_en.md
new file mode 100644
index 00000000000000..7b26f9012a9a86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-mmarco_mminilmv2_l12_h384_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mmarco_mminilmv2_l12_h384_v1 XlmRoBertaForSequenceClassification from lpsantao
+author: John Snow Labs
+name: mmarco_mminilmv2_l12_h384_v1
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mmarco_mminilmv2_l12_h384_v1` is a English model originally trained by lpsantao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mmarco_mminilmv2_l12_h384_v1_en_5.5.0_3.0_1727009949173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mmarco_mminilmv2_l12_h384_v1_en_5.5.0_3.0_1727009949173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mmarco_mminilmv2_l12_h384_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|399.6 MB|
+
+## References
+
+https://huggingface.co/lpsantao/mmarco-mMiniLMv2-L12-H384-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-mmlu_physics_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-mmlu_physics_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..812ebbf6ef8718
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-mmlu_physics_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mmlu_physics_classifier_pipeline pipeline RoBertaForSequenceClassification from chrisliu298
+author: John Snow Labs
+name: mmlu_physics_classifier_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mmlu_physics_classifier_pipeline` is a English model originally trained by chrisliu298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mmlu_physics_classifier_pipeline_en_5.5.0_3.0_1727026612058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mmlu_physics_classifier_pipeline_en_5.5.0_3.0_1727026612058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mmlu_physics_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mmlu_physics_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mmlu_physics_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|439.3 MB|
+
+## References
+
+https://huggingface.co/chrisliu298/mmlu-physics_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-model_2_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-model_2_7_pipeline_en.md
new file mode 100644
index 00000000000000..d366bf1079b338
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-model_2_7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_2_7_pipeline pipeline RoBertaForSequenceClassification from raydentseng
+author: John Snow Labs
+name: model_2_7_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_2_7_pipeline` is a English model originally trained by raydentseng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_2_7_pipeline_en_5.5.0_3.0_1727037770788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_2_7_pipeline_en_5.5.0_3.0_1727037770788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_2_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_2_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_2_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/raydentseng/model_2_7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-model_sentence_entailment_hackaton_coliee_en.md b/docs/_posts/ahmedlone127/2024-09-22-model_sentence_entailment_hackaton_coliee_en.md
new file mode 100644
index 00000000000000..481e674adbf445
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-model_sentence_entailment_hackaton_coliee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_sentence_entailment_hackaton_coliee RoBertaForSequenceClassification from ludoviciarraga
+author: John Snow Labs
+name: model_sentence_entailment_hackaton_coliee
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_sentence_entailment_hackaton_coliee` is a English model originally trained by ludoviciarraga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_sentence_entailment_hackaton_coliee_en_5.5.0_3.0_1726967623298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_sentence_entailment_hackaton_coliee_en_5.5.0_3.0_1726967623298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_sentence_entailment_hackaton_coliee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ludoviciarraga/model_sentence_entailment_hackaton_coliee
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-model_token_classification_bert_base_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-model_token_classification_bert_base_ner_pipeline_en.md
new file mode 100644
index 00000000000000..34367ac8ef3cae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-model_token_classification_bert_base_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_token_classification_bert_base_ner_pipeline pipeline BertForTokenClassification from Ornelas7
+author: John Snow Labs
+name: model_token_classification_bert_base_ner_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_token_classification_bert_base_ner_pipeline` is a English model originally trained by Ornelas7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_token_classification_bert_base_ner_pipeline_en_5.5.0_3.0_1727045812995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_token_classification_bert_base_ner_pipeline_en_5.5.0_3.0_1727045812995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_token_classification_bert_base_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_token_classification_bert_base_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_token_classification_bert_base_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Ornelas7/model-token-classification-bert-base-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-ner_serverstable_v0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-ner_serverstable_v0_pipeline_en.md
new file mode 100644
index 00000000000000..26d12b940ab797
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-ner_serverstable_v0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_serverstable_v0_pipeline pipeline BertForTokenClassification from procit002
+author: John Snow Labs
+name: ner_serverstable_v0_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_serverstable_v0_pipeline` is a English model originally trained by procit002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_serverstable_v0_pipeline_en_5.5.0_3.0_1727045459554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_serverstable_v0_pipeline_en_5.5.0_3.0_1727045459554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_serverstable_v0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_serverstable_v0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_serverstable_v0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/procit002/NER_ServerStable_v0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..f185be0d85a346
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline_en_5.5.0_3.0_1727041930558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline_en_5.5.0_3.0_1727041930558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_plus_legal_base_v3_5__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.7 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_plus_legal_base_v3_5__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline_en.md
new file mode 100644
index 00000000000000..da77f3cf560b77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline pipeline RoBertaForSequenceClassification from pamelapaolacb
+author: John Snow Labs
+name: roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline` is a English model originally trained by pamelapaolacb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline_en_5.5.0_3.0_1726972331072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline_en_5.5.0_3.0_1726972331072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_jou_amazon_reviews_multi_pamelapaolacb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/pamelapaolacb/roberta-base-bne-jou-amazon_reviews_multi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_cased_finetuned_mnli_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_cased_finetuned_mnli_en.md
new file mode 100644
index 00000000000000..cb1164c37af251
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_cased_finetuned_mnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_cased_finetuned_mnli RoBertaForSequenceClassification from George-Ogden
+author: John Snow Labs
+name: roberta_base_cased_finetuned_mnli
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_cased_finetuned_mnli` is a English model originally trained by George-Ogden.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cased_finetuned_mnli_en_5.5.0_3.0_1727017431827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cased_finetuned_mnli_en_5.5.0_3.0_1727017431827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_dutch_oscar23|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/FremyCompany/roberta-base-nl-oscar23
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_dutch_oscar23_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_dutch_oscar23_pipeline_en.md
new file mode 100644
index 00000000000000..b86517e842f370
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_dutch_oscar23_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_dutch_oscar23_pipeline pipeline RoBertaEmbeddings from FremyCompany
+author: John Snow Labs
+name: roberta_base_dutch_oscar23_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_dutch_oscar23_pipeline` is a English model originally trained by FremyCompany.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_dutch_oscar23_pipeline_en_5.5.0_3.0_1726999587737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_dutch_oscar23_pipeline_en_5.5.0_3.0_1726999587737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_dutch_oscar23_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_dutch_oscar23_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_dutch_oscar23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/FremyCompany/roberta-base-nl-oscar23
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_finetuned_sleevelength_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_finetuned_sleevelength_en.md
new file mode 100644
index 00000000000000..01e7223dc93fee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_finetuned_sleevelength_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_sleevelength RoBertaForSequenceClassification from Cournane
+author: John Snow Labs
+name: roberta_base_finetuned_sleevelength
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_sleevelength` is a English model originally trained by Cournane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sleevelength_en_5.5.0_3.0_1727036898412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sleevelength_en_5.5.0_3.0_1727036898412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_sleevelength|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.2 MB|
+
+## References
+
+https://huggingface.co/Cournane/roberta-base-finetuned-SleeveLength
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_oscar_chen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_oscar_chen_pipeline_en.md
new file mode 100644
index 00000000000000..df39bf412024ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_oscar_chen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_oscar_chen_pipeline pipeline RoBertaForSequenceClassification from Oscar-chen
+author: John Snow Labs
+name: roberta_base_oscar_chen_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_oscar_chen_pipeline` is a English model originally trained by Oscar-chen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_oscar_chen_pipeline_en_5.5.0_3.0_1726972198300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_oscar_chen_pipeline_en_5.5.0_3.0_1726972198300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_oscar_chen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_oscar_chen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_oscar_chen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|433.2 MB|
+
+## References
+
+https://huggingface.co/Oscar-chen/roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_reduced_upper_fabric_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_reduced_upper_fabric_en.md
new file mode 100644
index 00000000000000..53466b04685b00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_reduced_upper_fabric_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_reduced_upper_fabric RoBertaForSequenceClassification from Cournane
+author: John Snow Labs
+name: roberta_base_reduced_upper_fabric
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_reduced_upper_fabric` is a English model originally trained by Cournane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_reduced_upper_fabric_en_5.5.0_3.0_1727017731890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_reduced_upper_fabric_en_5.5.0_3.0_1727017731890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_reduced_upper_fabric|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.2 MB|
+
+## References
+
+https://huggingface.co/Cournane/roberta-base-reduced-Upper_fabric
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_tweet_topic_multi_2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_tweet_topic_multi_2020_pipeline_en.md
new file mode 100644
index 00000000000000..a0feb6c5723d4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_tweet_topic_multi_2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_tweet_topic_multi_2020_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_tweet_topic_multi_2020_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_tweet_topic_multi_2020_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_multi_2020_pipeline_en_5.5.0_3.0_1726967470783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_multi_2020_pipeline_en_5.5.0_3.0_1726967470783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_tweet_topic_multi_2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_tweet_topic_multi_2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_tweet_topic_multi_2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.7 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-tweet-topic-multi-2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_wechsel_ukrainian_uk.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_wechsel_ukrainian_uk.md
new file mode 100644
index 00000000000000..dfb6cb293a48d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_wechsel_ukrainian_uk.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Ukrainian roberta_base_wechsel_ukrainian RoBertaEmbeddings from benjamin
+author: John Snow Labs
+name: roberta_base_wechsel_ukrainian
+date: 2024-09-22
+tags: [uk, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: uk
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_wechsel_ukrainian` is a Ukrainian model originally trained by benjamin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_wechsel_ukrainian_uk_5.5.0_3.0_1727041915094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_wechsel_ukrainian_uk_5.5.0_3.0_1727041915094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_italian_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|417.9 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-it-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_bible_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_bible_pipeline_en.md
new file mode 100644
index 00000000000000..d7fe75ea8923cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_bible_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_bible_pipeline pipeline BertSentenceEmbeddings from Pragash-Mohanarajah
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_bible_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_bible_pipeline` is a English model originally trained by Pragash-Mohanarajah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_bible_pipeline_en_5.5.0_3.0_1727001535467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_bible_pipeline_en_5.5.0_3.0_1727001535467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_bible_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_bible_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_bible_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/Pragash-Mohanarajah/bert-base-uncased-finetuned-bible
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_wikitext_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_wikitext_en.md
new file mode 100644
index 00000000000000..b69fd87af36c00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_wikitext_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wikitext BertSentenceEmbeddings from peteryushunli
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wikitext
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wikitext` is a English model originally trained by peteryushunli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wikitext_en_5.5.0_3.0_1727047195540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wikitext_en_5.5.0_3.0_1727047195540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wikitext|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/peteryushunli/bert-base-uncased-finetuned-wikitext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bibert_v0_1_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bibert_v0_1_en.md
new file mode 100644
index 00000000000000..3a43598efd9fcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bibert_v0_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bibert_v0_1 BertSentenceEmbeddings from yugen-ok
+author: John Snow Labs
+name: sent_bibert_v0_1
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bibert_v0_1` is a English model originally trained by yugen-ok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bibert_v0_1_en_5.5.0_3.0_1727044456673.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bibert_v0_1_en_5.5.0_3.0_1727044456673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bibert_v0_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/yugen-ok/bibert-v0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_preetham04_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_preetham04_pipeline_en.md
new file mode 100644
index 00000000000000..d01519373dc3ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_preetham04_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_preetham04_pipeline pipeline BertForSequenceClassification from Preetham04
+author: John Snow Labs
+name: sentiment_analysis_preetham04_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_preetham04_pipeline` is a English model originally trained by Preetham04.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_preetham04_pipeline_en_5.5.0_3.0_1727034120954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_preetham04_pipeline_en_5.5.0_3.0_1727034120954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_preetham04_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_preetham04_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_preetham04_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Preetham04/sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_shadez25_en.md b/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_shadez25_en.md
new file mode 100644
index 00000000000000..94d1cfe7216b45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_shadez25_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_shadez25 DistilBertForSequenceClassification from Shadez25
+author: John Snow Labs
+name: sentiment_analysis_shadez25
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_shadez25` is a English model originally trained by Shadez25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_shadez25_en_5.5.0_3.0_1727033492393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_shadez25_en_5.5.0_3.0_1727033492393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_shadez25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Shadez25/sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sreegeni_finetune_textclass_auto_en.md b/docs/_posts/ahmedlone127/2024-09-22-sreegeni_finetune_textclass_auto_en.md
new file mode 100644
index 00000000000000..0e2342d0b3fd42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sreegeni_finetune_textclass_auto_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sreegeni_finetune_textclass_auto RoBertaForSequenceClassification from sreerammadhu
+author: John Snow Labs
+name: sreegeni_finetune_textclass_auto
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sreegeni_finetune_textclass_auto` is a English model originally trained by sreerammadhu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sreegeni_finetune_textclass_auto_en_5.5.0_3.0_1727017243296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sreegeni_finetune_textclass_auto_en_5.5.0_3.0_1727017243296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sreegeni_finetune_textclass_auto|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/sreerammadhu/sreegeni-finetune-textclass-auto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-stance_gottbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-stance_gottbert_pipeline_en.md
new file mode 100644
index 00000000000000..41a3ac15f4f950
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-stance_gottbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stance_gottbert_pipeline pipeline RoBertaForSequenceClassification from ogoshi2000
+author: John Snow Labs
+name: stance_gottbert_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stance_gottbert_pipeline` is a English model originally trained by ogoshi2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stance_gottbert_pipeline_en_5.5.0_3.0_1726972007326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stance_gottbert_pipeline_en_5.5.0_3.0_1726972007326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stance_gottbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stance_gottbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stance_gottbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|472.9 MB|
+
+## References
+
+https://huggingface.co/ogoshi2000/stance-gottbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-strategytransitionplanv1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-strategytransitionplanv1_pipeline_en.md
new file mode 100644
index 00000000000000..4d1e620e7e6cd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-strategytransitionplanv1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English strategytransitionplanv1_pipeline pipeline RoBertaForSequenceClassification from lomov
+author: John Snow Labs
+name: strategytransitionplanv1_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`strategytransitionplanv1_pipeline` is a English model originally trained by lomov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/strategytransitionplanv1_pipeline_en_5.5.0_3.0_1727017370066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/strategytransitionplanv1_pipeline_en_5.5.0_3.0_1727017370066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("strategytransitionplanv1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("strategytransitionplanv1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|strategytransitionplanv1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.7 MB|
+
+## References
+
+https://huggingface.co/lomov/strategytransitionplanv1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-stsb_tinybert_l_4_finetuned_auc_151221_top3_op2_en.md b/docs/_posts/ahmedlone127/2024-09-22-stsb_tinybert_l_4_finetuned_auc_151221_top3_op2_en.md
new file mode 100644
index 00000000000000..247006eee7f521
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-stsb_tinybert_l_4_finetuned_auc_151221_top3_op2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stsb_tinybert_l_4_finetuned_auc_151221_top3_op2 BertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: stsb_tinybert_l_4_finetuned_auc_151221_top3_op2
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_tinybert_l_4_finetuned_auc_151221_top3_op2` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_top3_op2_en_5.5.0_3.0_1727034717612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_top3_op2_en_5.5.0_3.0_1727034717612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_tinybert_l_4_finetuned_auc_151221_top3_op2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/stsb-TinyBERT-L-4-finetuned_auc_151221-top3_op2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-suicide_distilbert_2_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-suicide_distilbert_2_4_pipeline_en.md
new file mode 100644
index 00000000000000..a95eb6227f8b83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-suicide_distilbert_2_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English suicide_distilbert_2_4_pipeline pipeline DistilBertForSequenceClassification from cuadron11
+author: John Snow Labs
+name: suicide_distilbert_2_4_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`suicide_distilbert_2_4_pipeline` is a English model originally trained by cuadron11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/suicide_distilbert_2_4_pipeline_en_5.5.0_3.0_1727012661672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/suicide_distilbert_2_4_pipeline_en_5.5.0_3.0_1727012661672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("suicide_distilbert_2_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("suicide_distilbert_2_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|suicide_distilbert_2_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cuadron11/suicide-distilbert-2-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-swot_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-22-swot_classifier_en.md
new file mode 100644
index 00000000000000..6094792ab197b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-swot_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English swot_classifier DistilBertForSequenceClassification from jcaponigro
+author: John Snow Labs
+name: swot_classifier
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`swot_classifier` is a English model originally trained by jcaponigro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/swot_classifier_en_5.5.0_3.0_1727012230273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/swot_classifier_en_5.5.0_3.0_1727012230273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|swot_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jcaponigro/SWOT_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-test_trainer11a_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-test_trainer11a_pipeline_en.md
new file mode 100644
index 00000000000000..b5d62145c5b19d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-test_trainer11a_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainer11a_pipeline pipeline DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: test_trainer11a_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer11a_pipeline` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer11a_pipeline_en_5.5.0_3.0_1727020407533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer11a_pipeline_en_5.5.0_3.0_1727020407533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainer11a_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainer11a_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer11a_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/test_trainer11a
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-trainer2b_en.md b/docs/_posts/ahmedlone127/2024-09-22-trainer2b_en.md
new file mode 100644
index 00000000000000..8d211950aaad8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-trainer2b_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainer2b DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer2b
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer2b` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer2b_en_5.5.0_3.0_1726980109846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer2b_en_5.5.0_3.0_1726980109846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer2b|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainer2b
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_3epoch10_64_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_3epoch10_64_pipeline_en.md
new file mode 100644
index 00000000000000..ea54e7b0206a81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_3epoch10_64_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_3epoch10_64_pipeline pipeline RoBertaForSequenceClassification from dianamihalache27
+author: John Snow Labs
+name: twitter_roberta_base_3epoch10_64_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_3epoch10_64_pipeline` is a English model originally trained by dianamihalache27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_3epoch10_64_pipeline_en_5.5.0_3.0_1727037019441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_3epoch10_64_pipeline_en_5.5.0_3.0_1727037019441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_3epoch10_64_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_3epoch10_64_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_3epoch10_64_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/dianamihalache27/twitter-roberta-base_3epoch10.64
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_ai_nose_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_ai_nose_en.md
new file mode 100644
index 00000000000000..3e28a0723c44a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_ai_nose_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_ai_nose WhisperForCTC from susmitabhatt
+author: John Snow Labs
+name: whisper_ai_nose
+date: 2024-09-22
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_ai_nose` is a English model originally trained by susmitabhatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_ai_nose_en_5.5.0_3.0_1727022388766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_ai_nose_en_5.5.0_3.0_1727022388766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_ai_nose|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/susmitabhatt/whisper-ai-nose
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_base_ga2en_v1_1_pipeline_ga.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_base_ga2en_v1_1_pipeline_ga.md
new file mode 100644
index 00000000000000..05a847f3b19073
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_base_ga2en_v1_1_pipeline_ga.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Irish whisper_base_ga2en_v1_1_pipeline pipeline WhisperForCTC from ymoslem
+author: John Snow Labs
+name: whisper_base_ga2en_v1_1_pipeline
+date: 2024-09-22
+tags: [ga, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ga
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_ga2en_v1_1_pipeline` is a Irish model originally trained by ymoslem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_ga2en_v1_1_pipeline_ga_5.5.0_3.0_1727024753949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_ga2en_v1_1_pipeline_ga_5.5.0_3.0_1727024753949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_ga2en_v1_1_pipeline", lang = "ga")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_ga2en_v1_1_pipeline", lang = "ga")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_ga2en_v1_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ga|
+|Size:|641.2 MB|
+
+## References
+
+https://huggingface.co/ymoslem/whisper-base-ga2en-v1.1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_atc_san2003m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_atc_san2003m_pipeline_en.md
new file mode 100644
index 00000000000000..47622ed9204855
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_atc_san2003m_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_atc_san2003m_pipeline pipeline WhisperForCTC from san2003m
+author: John Snow Labs
+name: whisper_small_atc_san2003m_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_atc_san2003m_pipeline` is a English model originally trained by san2003m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_atc_san2003m_pipeline_en_5.5.0_3.0_1726983388523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_atc_san2003m_pipeline_en_5.5.0_3.0_1726983388523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_atc_san2003m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_atc_san2003m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_atc_san2003m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/san2003m/whisper-small-atc
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hindi_srirama_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hindi_srirama_pipeline_en.md
new file mode 100644
index 00000000000000..d4089dd724d260
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hindi_srirama_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_srirama_pipeline pipeline WhisperForCTC from srirama
+author: John Snow Labs
+name: whisper_small_hindi_srirama_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_srirama_pipeline` is a English model originally trained by srirama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_srirama_pipeline_en_5.5.0_3.0_1727024625869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_srirama_pipeline_en_5.5.0_3.0_1727024625869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_srirama_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_srirama_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_srirama_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/srirama/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_minds14_english_us_ghassenhannachi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_minds14_english_us_ghassenhannachi_pipeline_en.md
new file mode 100644
index 00000000000000..130bc1b6d929d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_minds14_english_us_ghassenhannachi_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_us_ghassenhannachi_pipeline pipeline WhisperForCTC from ghassenhannachi
+author: John Snow Labs
+name: whisper_tiny_minds14_english_us_ghassenhannachi_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_us_ghassenhannachi_pipeline` is a English model originally trained by ghassenhannachi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_ghassenhannachi_pipeline_en_5.5.0_3.0_1726995013770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_ghassenhannachi_pipeline_en_5.5.0_3.0_1726995013770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_english_us_ghassenhannachi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_english_us_ghassenhannachi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_us_ghassenhannachi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/ghassenhannachi/whisper-tiny-minds14-en-us
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline_en.md
new file mode 100644
index 00000000000000..0960b73fe6018a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline pipeline XlmRoBertaForTokenClassification from gewissta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline` is a English model originally trained by gewissta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline_en_5.5.0_3.0_1727019360738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline_en_5.5.0_3.0_1727019360738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_gewissta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/gewissta/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_ft_udpos213_top8lang_southern_sotho_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_ft_udpos213_top8lang_southern_sotho_en.md
new file mode 100644
index 00000000000000..75806be067eda2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_ft_udpos213_top8lang_southern_sotho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_ft_udpos213_top8lang_southern_sotho XlmRoBertaForTokenClassification from iceman2434
+author: John Snow Labs
+name: xlm_roberta_base_ft_udpos213_top8lang_southern_sotho
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_ft_udpos213_top8lang_southern_sotho` is a English model originally trained by iceman2434.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ft_udpos213_top8lang_southern_sotho_en_5.5.0_3.0_1727019173465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ft_udpos213_top8lang_southern_sotho_en_5.5.0_3.0_1727019173465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_ft_udpos213_top8lang_southern_sotho|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|805.3 MB|
+
+## References
+
+https://huggingface.co/iceman2434/xlm-roberta-base_ft_udpos213-top8lang-st
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..49f8ad2507d7cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1727010189358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1727010189358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr2e_05_seed42_kinyarwanda_hau_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|800.8 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr2e-05_seed42_kin-hau-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-1030_en.md b/docs/_posts/ahmedlone127/2024-09-23-1030_en.md
new file mode 100644
index 00000000000000..d53e7fb06d91b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-1030_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 1030 DistilBertForSequenceClassification from tingchih
+author: John Snow Labs
+name: 1030
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1030` is a English model originally trained by tingchih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1030_en_5.5.0_3.0_1727108743974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1030_en_5.5.0_3.0_1727108743974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|1030|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tingchih/1030
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-2020_q1_25p_filtered_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-2020_q1_25p_filtered_pipeline_en.md
new file mode 100644
index 00000000000000..8d2d9036a4fc76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-2020_q1_25p_filtered_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q1_25p_filtered_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_25p_filtered_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q1_25p_filtered_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_25p_filtered_pipeline_en_5.5.0_3.0_1727121920175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_25p_filtered_pipeline_en_5.5.0_3.0_1727121920175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q1_25p_filtered_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q1_25p_filtered_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_25p_filtered_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-25p-filtered
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-3_roberta_0_en.md b/docs/_posts/ahmedlone127/2024-09-23-3_roberta_0_en.md
new file mode 100644
index 00000000000000..01923a1a992aa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-3_roberta_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 3_roberta_0 RoBertaForSequenceClassification from prl90777
+author: John Snow Labs
+name: 3_roberta_0
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`3_roberta_0` is a English model originally trained by prl90777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/3_roberta_0_en_5.5.0_3.0_1727055510163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/3_roberta_0_en_5.5.0_3.0_1727055510163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|3_roberta_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.2 MB|
+
+## References
+
+https://huggingface.co/prl90777/3_roberta_0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-aia_hw01_qian_wu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-aia_hw01_qian_wu_pipeline_en.md
new file mode 100644
index 00000000000000..9ba8c13c5c6016
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-aia_hw01_qian_wu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English aia_hw01_qian_wu_pipeline pipeline DistilBertForSequenceClassification from Qian-Wu
+author: John Snow Labs
+name: aia_hw01_qian_wu_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aia_hw01_qian_wu_pipeline` is a English model originally trained by Qian-Wu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aia_hw01_qian_wu_pipeline_en_5.5.0_3.0_1727097132445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aia_hw01_qian_wu_pipeline_en_5.5.0_3.0_1727097132445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("aia_hw01_qian_wu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("aia_hw01_qian_wu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aia_hw01_qian_wu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Qian-Wu/AIA_HW01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-amazon_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-amazon_0_pipeline_en.md
new file mode 100644
index 00000000000000..c7150c41c5ae15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-amazon_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_0_pipeline pipeline DistilBertForSequenceClassification from draghicivlad
+author: John Snow Labs
+name: amazon_0_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_0_pipeline` is a English model originally trained by draghicivlad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_0_pipeline_en_5.5.0_3.0_1727108757578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_0_pipeline_en_5.5.0_3.0_1727108757578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/draghicivlad/amazon_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-apps2_en.md b/docs/_posts/ahmedlone127/2024-09-23-apps2_en.md
new file mode 100644
index 00000000000000..0673555019a324
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-apps2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English apps2 DistilBertForSequenceClassification from Frana9812
+author: John Snow Labs
+name: apps2
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`apps2` is a English model originally trained by Frana9812.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/apps2_en_5.5.0_3.0_1727094073990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/apps2_en_5.5.0_3.0_1727094073990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|apps2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Frana9812/apps2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-araroberta_luxembourgish_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-23-araroberta_luxembourgish_pipeline_ar.md
new file mode 100644
index 00000000000000..4729346d1ca87c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-araroberta_luxembourgish_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic araroberta_luxembourgish_pipeline pipeline RoBertaEmbeddings from reemalyami
+author: John Snow Labs
+name: araroberta_luxembourgish_pipeline
+date: 2024-09-23
+tags: [ar, open_source, pipeline, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`araroberta_luxembourgish_pipeline` is a Arabic model originally trained by reemalyami.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/araroberta_luxembourgish_pipeline_ar_5.5.0_3.0_1727121682180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/araroberta_luxembourgish_pipeline_ar_5.5.0_3.0_1727121682180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("araroberta_luxembourgish_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("araroberta_luxembourgish_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|araroberta_luxembourgish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|470.6 MB|
+
+## References
+
+https://huggingface.co/reemalyami/AraRoBERTa-LB
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_cased_fake_news_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_cased_fake_news_pipeline_en.md
new file mode 100644
index 00000000000000..d16897c64768b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_cased_fake_news_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_fake_news_pipeline pipeline BertForSequenceClassification from elozano
+author: John Snow Labs
+name: bert_base_cased_fake_news_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_fake_news_pipeline` is a English model originally trained by elozano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_fake_news_pipeline_en_5.5.0_3.0_1727095308660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_fake_news_pipeline_en_5.5.0_3.0_1727095308660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_fake_news_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_fake_news_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_fake_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/elozano/bert-base-cased-fake-news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_multilingual_cased_ner_hrl_nttaii_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_multilingual_cased_ner_hrl_nttaii_pipeline_xx.md
new file mode 100644
index 00000000000000..317f43844b4ed5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_multilingual_cased_ner_hrl_nttaii_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_ner_hrl_nttaii_pipeline pipeline BertForTokenClassification from nttaii
+author: John Snow Labs
+name: bert_base_multilingual_cased_ner_hrl_nttaii_pipeline
+date: 2024-09-23
+tags: [xx, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_cased_ner_hrl_nttaii_pipeline` is a Multilingual model originally trained by nttaii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_ner_hrl_nttaii_pipeline_xx_5.5.0_3.0_1727060451951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_ner_hrl_nttaii_pipeline_xx_5.5.0_3.0_1727060451951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_multilingual_cased_ner_hrl_nttaii_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_multilingual_cased_ner_hrl_nttaii_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_ner_hrl_nttaii_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|665.3 MB|
+
+## References
+
+https://huggingface.co/nttaii/bert-base-multilingual-cased-ner-hrl
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline_en.md
new file mode 100644
index 00000000000000..ea310d5409a402
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline_en_5.5.0_3.0_1727127906219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline_en_5.5.0_3.0_1727127906219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_220240904191111_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.220240904191111
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0_en.md
new file mode 100644
index 00000000000000..b346c78565324e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0
+date: 2024-09-23
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0_en_5.5.0_3.0_1727127747505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0_en_5.5.0_3.0_1727127747505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_45_b_32_lr_1_2e_06_dp_0_3_swati_300_southern_sotho_false_fh_true_hs_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.45-b-32-lr-1.2e-06-dp-0.3-ss-300-st-False-fh-True-hs-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline_en.md
new file mode 100644
index 00000000000000..c73448344b1267
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline_en_5.5.0_3.0_1727050091038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline_en_5.5.0_3.0_1727050091038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_2_swati_2882_southern_sotho_false_fh_true_hs_666_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-1e-06-wd-0.001-dp-0.2-ss-2882-st-False-fh-True-hs-666
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline_en.md
new file mode 100644
index 00000000000000..068ea65942c59e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline_en_5.5.0_3.0_1727049778187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline_en_5.5.0_3.0_1727049778187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_8e_06_wd_0_001_dp_0_999_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-8e-06-wd-0.001-dp-0.999
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_newscategoryclassification_fullmodel_3_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_newscategoryclassification_fullmodel_3_en.md
new file mode 100644
index 00000000000000..fd1ebb3c205d54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_newscategoryclassification_fullmodel_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification_fullmodel_3 DistilBertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification_fullmodel_3
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_newscategoryclassification_fullmodel_3` is a English model originally trained by akashmaggon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_3_en_5.5.0_3.0_1727059857892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_3_en_5.5.0_3.0_1727059857892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification_fullmodel_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/akashmaggon/bert-base-uncased-newscategoryclassification-fullmodel-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_368items_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_368items_pipeline_en.md
new file mode 100644
index 00000000000000..30bee3b6e7fd3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_368items_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_368items_pipeline pipeline BertForSequenceClassification from luminar9
+author: John Snow Labs
+name: bert_finetuned_368items_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_368items_pipeline` is a English model originally trained by luminar9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_368items_pipeline_en_5.5.0_3.0_1727095959274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_368items_pipeline_en_5.5.0_3.0_1727095959274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_368items_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_368items_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_368items_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/luminar9/bert-finetuned-368items
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_squad_vidyuth_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_squad_vidyuth_en.md
new file mode 100644
index 00000000000000..8ae40bdac26111
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_squad_vidyuth_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_finetuned_squad_vidyuth BertForQuestionAnswering from Vidyuth
+author: John Snow Labs
+name: bert_finetuned_squad_vidyuth
+date: 2024-09-23
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_vidyuth` is a English model originally trained by Vidyuth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_vidyuth_en_5.5.0_3.0_1727128425852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_vidyuth_en_5.5.0_3.0_1727128425852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_vidyuth|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Vidyuth/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_squad_vidyuth_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_squad_vidyuth_pipeline_en.md
new file mode 100644
index 00000000000000..f902c675806357
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_finetuned_squad_vidyuth_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_squad_vidyuth_pipeline pipeline BertForQuestionAnswering from Vidyuth
+author: John Snow Labs
+name: bert_finetuned_squad_vidyuth_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_vidyuth_pipeline` is a English model originally trained by Vidyuth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_vidyuth_pipeline_en_5.5.0_3.0_1727128486255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_vidyuth_pipeline_en_5.5.0_3.0_1727128486255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_squad_vidyuth_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_squad_vidyuth_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_vidyuth_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Vidyuth/bert-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_large_cased_finetuned_conll03_english_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_large_cased_finetuned_conll03_english_finetuned_en.md
new file mode 100644
index 00000000000000..23ebba56c13db0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_large_cased_finetuned_conll03_english_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_conll03_english_finetuned BertForTokenClassification from alban12
+author: John Snow Labs
+name: bert_large_cased_finetuned_conll03_english_finetuned
+date: 2024-09-23
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_cased_finetuned_conll03_english_finetuned` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_conll03_english_finetuned_en_5.5.0_3.0_1727111378582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_conll03_english_finetuned_en_5.5.0_3.0_1727111378582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_conll03_english_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/alban12/bert-large-cased-finetuned-conll03-english-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_large_cased_finetuned_conll03_english_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_large_cased_finetuned_conll03_english_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..07bbb335805175
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_large_cased_finetuned_conll03_english_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_conll03_english_finetuned_pipeline pipeline BertForTokenClassification from alban12
+author: John Snow Labs
+name: bert_large_cased_finetuned_conll03_english_finetuned_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_cased_finetuned_conll03_english_finetuned_pipeline` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_conll03_english_finetuned_pipeline_en_5.5.0_3.0_1727111437539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_conll03_english_finetuned_pipeline_en_5.5.0_3.0_1727111437539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_cased_finetuned_conll03_english_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_cased_finetuned_conll03_english_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_conll03_english_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/alban12/bert-large-cased-finetuned-conll03-english-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_massa_es.md b/docs/_posts/ahmedlone127/2024-09-23-bert_massa_es.md
new file mode 100644
index 00000000000000..00f7756686ad37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_massa_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bert_massa XlmRoBertaForSequenceClassification from nmarinnn
+author: John Snow Labs
+name: bert_massa
+date: 2024-09-23
+tags: [es, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_massa` is a Castilian, Spanish model originally trained by nmarinnn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_massa_es_5.5.0_3.0_1727126108155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_massa_es_5.5.0_3.0_1727126108155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_massa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/nmarinnn/bert-massa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bloom_question_classification_en.md b/docs/_posts/ahmedlone127/2024-09-23-bloom_question_classification_en.md
new file mode 100644
index 00000000000000..87bb4eb0b09876
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bloom_question_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bloom_question_classification DistilBertForSequenceClassification from MinervaBotTeam
+author: John Snow Labs
+name: bloom_question_classification
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bloom_question_classification` is a English model originally trained by MinervaBotTeam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bloom_question_classification_en_5.5.0_3.0_1727108414330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bloom_question_classification_en_5.5.0_3.0_1727108414330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bloom_question_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MinervaBotTeam/Bloom_Question_Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bloom_question_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bloom_question_classification_pipeline_en.md
new file mode 100644
index 00000000000000..9224ed0319bfa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bloom_question_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bloom_question_classification_pipeline pipeline DistilBertForSequenceClassification from MinervaBotTeam
+author: John Snow Labs
+name: bloom_question_classification_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bloom_question_classification_pipeline` is a English model originally trained by MinervaBotTeam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bloom_question_classification_pipeline_en_5.5.0_3.0_1727108426660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bloom_question_classification_pipeline_en_5.5.0_3.0_1727108426660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bloom_question_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bloom_question_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bloom_question_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MinervaBotTeam/Bloom_Question_Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bpe_selfies_pubchem_shard00_70k_en.md b/docs/_posts/ahmedlone127/2024-09-23-bpe_selfies_pubchem_shard00_70k_en.md
new file mode 100644
index 00000000000000..ab6e09206c6693
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bpe_selfies_pubchem_shard00_70k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bpe_selfies_pubchem_shard00_70k RoBertaEmbeddings from seyonec
+author: John Snow Labs
+name: bpe_selfies_pubchem_shard00_70k
+date: 2024-09-23
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bpe_selfies_pubchem_shard00_70k` is a English model originally trained by seyonec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_70k_en_5.5.0_3.0_1727092327447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_70k_en_5.5.0_3.0_1727092327447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bpe_selfies_pubchem_shard00_70k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|309.5 MB|
+
+## References
+
+https://huggingface.co/seyonec/BPE_SELFIES_PubChem_shard00_70k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bsc_bio_ehr_spanish_symptemist_word2vec_85_ner_en.md b/docs/_posts/ahmedlone127/2024-09-23-bsc_bio_ehr_spanish_symptemist_word2vec_85_ner_en.md
new file mode 100644
index 00000000000000..52368f14768672
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bsc_bio_ehr_spanish_symptemist_word2vec_85_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_symptemist_word2vec_85_ner RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_symptemist_word2vec_85_ner
+date: 2024-09-23
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_symptemist_word2vec_85_ner` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_word2vec_85_ner_en_5.5.0_3.0_1727115179187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_word2vec_85_ner_en_5.5.0_3.0_1727115179187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_symptemist_word2vec_85_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|435.0 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-symptemist-word2vec-85-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_eli5_mlm_model_abishines_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_eli5_mlm_model_abishines_pipeline_en.md
new file mode 100644
index 00000000000000..d1ea3b977cdcfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_eli5_mlm_model_abishines_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_abishines_pipeline pipeline RoBertaEmbeddings from abishines
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_abishines_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_abishines_pipeline` is a English model originally trained by abishines.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_abishines_pipeline_en_5.5.0_3.0_1727091996203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_abishines_pipeline_en_5.5.0_3.0_1727091996203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_abishines_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_abishines_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_abishines_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/abishines/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_beto_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_beto_en.md
new file mode 100644
index 00000000000000..3000f21026bc2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_beto_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_beto BertForSequenceClassification from maic1995
+author: John Snow Labs
+name: burmese_awesome_model_beto
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_beto` is a English model originally trained by maic1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_beto_en_5.5.0_3.0_1727095427947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_beto_en_5.5.0_3.0_1727095427947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_beto|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/maic1995/my_awesome_model_beto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_eyeonyou_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_eyeonyou_pipeline_en.md
new file mode 100644
index 00000000000000..ed64509c203950
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_eyeonyou_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_eyeonyou_pipeline pipeline DistilBertForSequenceClassification from eyeonyou
+author: John Snow Labs
+name: burmese_awesome_model_eyeonyou_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_eyeonyou_pipeline` is a English model originally trained by eyeonyou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_eyeonyou_pipeline_en_5.5.0_3.0_1727110514298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_eyeonyou_pipeline_en_5.5.0_3.0_1727110514298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_eyeonyou_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_eyeonyou_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_eyeonyou_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/eyeonyou/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_habiba_2227_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_habiba_2227_pipeline_en.md
new file mode 100644
index 00000000000000..ecca5f6cd3a031
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_habiba_2227_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_habiba_2227_pipeline pipeline DistilBertForSequenceClassification from habiba-2227
+author: John Snow Labs
+name: burmese_awesome_model_habiba_2227_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_habiba_2227_pipeline` is a English model originally trained by habiba-2227.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_habiba_2227_pipeline_en_5.5.0_3.0_1727059396976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_habiba_2227_pipeline_en_5.5.0_3.0_1727059396976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_habiba_2227_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_habiba_2227_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_habiba_2227_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/habiba-2227/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_julianorosco37_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_julianorosco37_pipeline_en.md
new file mode 100644
index 00000000000000..b75a2d3c8d4658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_julianorosco37_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_julianorosco37_pipeline pipeline DistilBertForSequenceClassification from Julianorosco37
+author: John Snow Labs
+name: burmese_awesome_model_julianorosco37_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_julianorosco37_pipeline` is a English model originally trained by Julianorosco37.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_julianorosco37_pipeline_en_5.5.0_3.0_1727082364112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_julianorosco37_pipeline_en_5.5.0_3.0_1727082364112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_julianorosco37_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_julianorosco37_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_julianorosco37_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Julianorosco37/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_tsibbett_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_tsibbett_pipeline_en.md
new file mode 100644
index 00000000000000..3fa715b01a4ba8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_tsibbett_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_tsibbett_pipeline pipeline DistilBertForSequenceClassification from tsibbett
+author: John Snow Labs
+name: burmese_awesome_model_tsibbett_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tsibbett_pipeline` is a English model originally trained by tsibbett.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tsibbett_pipeline_en_5.5.0_3.0_1727082302505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tsibbett_pipeline_en_5.5.0_3.0_1727082302505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_tsibbett_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_tsibbett_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_tsibbett_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tsibbett/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_zeckhardt_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_zeckhardt_en.md
new file mode 100644
index 00000000000000..4a4f6206972f20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_zeckhardt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_zeckhardt DistilBertForSequenceClassification from zeckhardt
+author: John Snow Labs
+name: burmese_awesome_model_zeckhardt
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zeckhardt` is a English model originally trained by zeckhardt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zeckhardt_en_5.5.0_3.0_1727097140210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zeckhardt_en_5.5.0_3.0_1727097140210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_zeckhardt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zeckhardt/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_zeckhardt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_zeckhardt_pipeline_en.md
new file mode 100644
index 00000000000000..5dac3fc85f87b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_zeckhardt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_zeckhardt_pipeline pipeline DistilBertForSequenceClassification from zeckhardt
+author: John Snow Labs
+name: burmese_awesome_model_zeckhardt_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zeckhardt_pipeline` is a English model originally trained by zeckhardt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zeckhardt_pipeline_en_5.5.0_3.0_1727097152156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zeckhardt_pipeline_en_5.5.0_3.0_1727097152156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_zeckhardt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_zeckhardt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_zeckhardt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zeckhardt/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_qa_model_dennischan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_qa_model_dennischan_pipeline_en.md
new file mode 100644
index 00000000000000..80bca63d652869
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_qa_model_dennischan_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_dennischan_pipeline pipeline BertForQuestionAnswering from dennischan
+author: John Snow Labs
+name: burmese_awesome_qa_model_dennischan_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_dennischan_pipeline` is a English model originally trained by dennischan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_dennischan_pipeline_en_5.5.0_3.0_1727049952851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_dennischan_pipeline_en_5.5.0_3.0_1727049952851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_dennischan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_dennischan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_dennischan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/dennischan/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_textclassification_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_textclassification_model_pipeline_en.md
new file mode 100644
index 00000000000000..71fa91ebce29de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_textclassification_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_textclassification_model_pipeline pipeline DistilBertForSequenceClassification from Happpy0413
+author: John Snow Labs
+name: burmese_textclassification_model_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_textclassification_model_pipeline` is a English model originally trained by Happpy0413.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_textclassification_model_pipeline_en_5.5.0_3.0_1727059133075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_textclassification_model_pipeline_en_5.5.0_3.0_1727059133075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_textclassification_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_textclassification_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_textclassification_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Happpy0413/my_textclassification_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-classifier_tensorride_en.md b/docs/_posts/ahmedlone127/2024-09-23-classifier_tensorride_en.md
new file mode 100644
index 00000000000000..d1a87f5ae52af6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-classifier_tensorride_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classifier_tensorride DistilBertForSequenceClassification from Tensorride
+author: John Snow Labs
+name: classifier_tensorride
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifier_tensorride` is a English model originally trained by Tensorride.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifier_tensorride_en_5.5.0_3.0_1727059238148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier_tensorride_en_5.5.0_3.0_1727059238148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifier_tensorride|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tensorride/Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-cold_fusion_itr23_seed1_en.md b/docs/_posts/ahmedlone127/2024-09-23-cold_fusion_itr23_seed1_en.md
new file mode 100644
index 00000000000000..ec937274739976
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-cold_fusion_itr23_seed1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr23_seed1 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr23_seed1
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr23_seed1` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr23_seed1_en_5.5.0_3.0_1727135590809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr23_seed1_en_5.5.0_3.0_1727135590809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr23_seed1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr23-seed1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-cold_fusion_itr25_seed4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-cold_fusion_itr25_seed4_pipeline_en.md
new file mode 100644
index 00000000000000..ab4bb3d28ce5e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-cold_fusion_itr25_seed4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_itr25_seed4_pipeline pipeline RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr25_seed4_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr25_seed4_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr25_seed4_pipeline_en_5.5.0_3.0_1727134714843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr25_seed4_pipeline_en_5.5.0_3.0_1727134714843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_itr25_seed4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_itr25_seed4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr25_seed4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr25-seed4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-covid_roberta_25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-covid_roberta_25_pipeline_en.md
new file mode 100644
index 00000000000000..d318073dd50d8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-covid_roberta_25_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English covid_roberta_25_pipeline pipeline RoBertaEmbeddings from timoneda
+author: John Snow Labs
+name: covid_roberta_25_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_roberta_25_pipeline` is a English model originally trained by timoneda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_roberta_25_pipeline_en_5.5.0_3.0_1727092114506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_roberta_25_pipeline_en_5.5.0_3.0_1727092114506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("covid_roberta_25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("covid_roberta_25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_roberta_25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/timoneda/covid_roberta_25
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-cyber_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-23-cyber_distilbert_en.md
new file mode 100644
index 00000000000000..7735149dd1bbb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-cyber_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cyber_distilbert DistilBertForSequenceClassification from eysharaazia
+author: John Snow Labs
+name: cyber_distilbert
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cyber_distilbert` is a English model originally trained by eysharaazia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cyber_distilbert_en_5.5.0_3.0_1727093590628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cyber_distilbert_en_5.5.0_3.0_1727093590628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cyber_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/eysharaazia/cyber_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-cyber_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-cyber_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..70dfd6b077c85f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-cyber_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cyber_distilbert_pipeline pipeline DistilBertForSequenceClassification from eysharaazia
+author: John Snow Labs
+name: cyber_distilbert_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cyber_distilbert_pipeline` is a English model originally trained by eysharaazia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cyber_distilbert_pipeline_en_5.5.0_3.0_1727093615342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cyber_distilbert_pipeline_en_5.5.0_3.0_1727093615342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cyber_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cyber_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cyber_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/eysharaazia/cyber_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-db_mc_9_2_en.md b/docs/_posts/ahmedlone127/2024-09-23-db_mc_9_2_en.md
new file mode 100644
index 00000000000000..d44a7337fc25b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-db_mc_9_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_mc_9_2 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc_9_2
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc_9_2` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc_9_2_en_5.5.0_3.0_1727059224175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc_9_2_en_5.5.0_3.0_1727059224175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc_9_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc_9.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline_en.md
new file mode 100644
index 00000000000000..788e12bfb28ad2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline pipeline XlmRoBertaForSequenceClassification from DenilsenAxel
+author: John Snow Labs
+name: denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline` is a English model originally trained by DenilsenAxel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline_en_5.5.0_3.0_1727126484919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline_en_5.5.0_3.0_1727126484919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|denilsenaxel_xlm_roberta_finetuned_language_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|792.3 MB|
+
+## References
+
+https://huggingface.co/DenilsenAxel/denilsenaxel-xlm-roberta-finetuned-language-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-detector_god2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-detector_god2_pipeline_en.md
new file mode 100644
index 00000000000000..0a75f67960d0f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-detector_god2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English detector_god2_pipeline pipeline XlmRoBertaForSequenceClassification from Sydelabs
+author: John Snow Labs
+name: detector_god2_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`detector_god2_pipeline` is a English model originally trained by Sydelabs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/detector_god2_pipeline_en_5.5.0_3.0_1727088314880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/detector_god2_pipeline_en_5.5.0_3.0_1727088314880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("detector_god2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("detector_god2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|detector_god2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/Sydelabs/detector_god2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_agnews_padding80model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_agnews_padding80model_pipeline_en.md
new file mode 100644
index 00000000000000..cf7e734733bb92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_agnews_padding80model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_agnews_padding80model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_agnews_padding80model_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_agnews_padding80model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_agnews_padding80model_pipeline_en_5.5.0_3.0_1727059846344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_agnews_padding80model_pipeline_en_5.5.0_3.0_1727059846344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_agnews_padding80model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_agnews_padding80model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_agnews_padding80model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_agnews_padding80model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_cased_hatespeech_ft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_cased_hatespeech_ft_pipeline_en.md
new file mode 100644
index 00000000000000..f72c9b878ba9fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_cased_hatespeech_ft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_cased_hatespeech_ft_pipeline pipeline DistilBertForSequenceClassification from EgehanEralp
+author: John Snow Labs
+name: distilbert_base_cased_hatespeech_ft_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_hatespeech_ft_pipeline` is a English model originally trained by EgehanEralp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_hatespeech_ft_pipeline_en_5.5.0_3.0_1727082648897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_hatespeech_ft_pipeline_en_5.5.0_3.0_1727082648897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_hatespeech_ft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_hatespeech_ft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_hatespeech_ft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/EgehanEralp/distilbert-base-cased-hatespeech-ft
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_finetuned_chnsenticorp_chinese_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_finetuned_chnsenticorp_chinese_pipeline_zh.md
new file mode 100644
index 00000000000000..2374f3392b0c4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_finetuned_chnsenticorp_chinese_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese distilbert_base_finetuned_chnsenticorp_chinese_pipeline pipeline DistilBertForSequenceClassification from WangA
+author: John Snow Labs
+name: distilbert_base_finetuned_chnsenticorp_chinese_pipeline
+date: 2024-09-23
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_finetuned_chnsenticorp_chinese_pipeline` is a Chinese model originally trained by WangA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_finetuned_chnsenticorp_chinese_pipeline_zh_5.5.0_3.0_1727082583587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_finetuned_chnsenticorp_chinese_pipeline_zh_5.5.0_3.0_1727082583587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_finetuned_chnsenticorp_chinese_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_finetuned_chnsenticorp_chinese_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_finetuned_chnsenticorp_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/WangA/distilbert-base-finetuned-chnsenticorp-chinese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_finetuned_chnsenticorp_chinese_zh.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_finetuned_chnsenticorp_chinese_zh.md
new file mode 100644
index 00000000000000..1cb801a579c718
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_finetuned_chnsenticorp_chinese_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese distilbert_base_finetuned_chnsenticorp_chinese DistilBertForSequenceClassification from WangA
+author: John Snow Labs
+name: distilbert_base_finetuned_chnsenticorp_chinese
+date: 2024-09-23
+tags: [zh, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_finetuned_chnsenticorp_chinese` is a Chinese model originally trained by WangA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_finetuned_chnsenticorp_chinese_zh_5.5.0_3.0_1727082557787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_finetuned_chnsenticorp_chinese_zh_5.5.0_3.0_1727082557787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_finetuned_chnsenticorp_chinese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/WangA/distilbert-base-finetuned-chnsenticorp-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_3epoch10_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_3epoch10_en.md
new file mode 100644
index 00000000000000..27403cf5ac2a61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_3epoch10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_3epoch10 DistilBertForSequenceClassification from dianamihalache27
+author: John Snow Labs
+name: distilbert_base_uncased_3epoch10
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_3epoch10` is a English model originally trained by dianamihalache27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch10_en_5.5.0_3.0_1727093918373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch10_en_5.5.0_3.0_1727093918373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_3epoch10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dianamihalache27/distilbert-base-uncased_3epoch10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline_en.md
new file mode 100644
index 00000000000000..0058f98fe2d32b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline pipeline DistilBertForSequenceClassification from Sohaibsoussi
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline` is a English model originally trained by Sohaibsoussi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline_en_5.5.0_3.0_1727087228194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline_en_5.5.0_3.0_1727087228194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_finetuned_clinc_sohaibsoussi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Sohaibsoussi/distilbert-base-uncased-distilled-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cc_pipeline_en.md
new file mode 100644
index 00000000000000..04ee9ae6c91306
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cc_pipeline pipeline DistilBertForSequenceClassification from gtalibov
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cc_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cc_pipeline` is a English model originally trained by gtalibov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cc_pipeline_en_5.5.0_3.0_1727093727942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cc_pipeline_en_5.5.0_3.0_1727093727942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/gtalibov/distilbert-base-uncased-finetuned-CC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline_en.md
new file mode 100644
index 00000000000000..28f663d12cafb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline pipeline DistilBertForSequenceClassification from dodiaz2111
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline` is a English model originally trained by dodiaz2111.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline_en_5.5.0_3.0_1727074044565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline_en_5.5.0_3.0_1727074044565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_dodiaz2111_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/dodiaz2111/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline_en.md
new file mode 100644
index 00000000000000..94dfc3a7a48bf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline pipeline DistilBertForSequenceClassification from HrayrM
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline` is a English model originally trained by HrayrM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline_en_5.5.0_3.0_1727110401610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline_en_5.5.0_3.0_1727110401610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_hrayrm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/HrayrM/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_joacorf33_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_joacorf33_en.md
new file mode 100644
index 00000000000000..2183dd664e4e91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_clinc_joacorf33_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_joacorf33 DistilBertForSequenceClassification from joacorf33
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_joacorf33
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_joacorf33` is a English model originally trained by joacorf33.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_joacorf33_en_5.5.0_3.0_1727093600577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_joacorf33_en_5.5.0_3.0_1727093600577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_joacorf33|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/joacorf33/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_garyseventeen_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_garyseventeen_en.md
new file mode 100644
index 00000000000000..d07aa04b64287f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_garyseventeen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_garyseventeen DistilBertForSequenceClassification from Garyseventeen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_garyseventeen
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_garyseventeen` is a English model originally trained by Garyseventeen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_garyseventeen_en_5.5.0_3.0_1727110523624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_garyseventeen_en_5.5.0_3.0_1727110523624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_garyseventeen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Garyseventeen/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline_en.md
new file mode 100644
index 00000000000000..35ff5f44405fa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline pipeline DistilBertForSequenceClassification from Garyseventeen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline` is a English model originally trained by Garyseventeen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline_en_5.5.0_3.0_1727110535749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline_en_5.5.0_3.0_1727110535749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_garyseventeen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Garyseventeen/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_poodja_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_poodja_en.md
new file mode 100644
index 00000000000000..f129e8804a0036
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_poodja_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_poodja DistilBertForSequenceClassification from Poodja
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_poodja
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_poodja` is a English model originally trained by Poodja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_poodja_en_5.5.0_3.0_1727108543457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_poodja_en_5.5.0_3.0_1727108543457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_poodja|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Poodja/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_sjoerdvink_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_sjoerdvink_en.md
new file mode 100644
index 00000000000000..4a5752d8029e01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_sjoerdvink_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_sjoerdvink DistilBertForSequenceClassification from sjoerdvink
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_sjoerdvink
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_sjoerdvink` is a English model originally trained by sjoerdvink.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sjoerdvink_en_5.5.0_3.0_1727082297367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_sjoerdvink_en_5.5.0_3.0_1727082297367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_sjoerdvink|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sjoerdvink/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_zeid_hazboun_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_zeid_hazboun_en.md
new file mode 100644
index 00000000000000..f2f5c9f3df3292
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_cola_zeid_hazboun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_zeid_hazboun DistilBertForSequenceClassification from Zeid-Hazboun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_zeid_hazboun
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zeid_hazboun` is a English model originally trained by Zeid-Hazboun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zeid_hazboun_en_5.5.0_3.0_1727108397380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zeid_hazboun_en_5.5.0_3.0_1727108397380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_zeid_hazboun|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Zeid-Hazboun/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_conceptos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_conceptos_pipeline_en.md
new file mode 100644
index 00000000000000..6c73e9786efdaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_conceptos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_conceptos_pipeline pipeline DistilBertForSequenceClassification from jcesquivel
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_conceptos_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_conceptos_pipeline` is a English model originally trained by jcesquivel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_conceptos_pipeline_en_5.5.0_3.0_1727087125822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_conceptos_pipeline_en_5.5.0_3.0_1727087125822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_conceptos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_conceptos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_conceptos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/jcesquivel/distilbert-base-uncased-finetuned-conceptos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_depression_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_depression_en.md
new file mode 100644
index 00000000000000..b2b7d5ed223a67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_depression_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_depression DistilBertForSequenceClassification from welsachy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_depression
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_depression` is a English model originally trained by welsachy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_depression_en_5.5.0_3.0_1727108588595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_depression_en_5.5.0_3.0_1727108588595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_depression|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/welsachy/distilbert-base-uncased-finetuned-depression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_disaster_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_disaster_pipeline_en.md
new file mode 100644
index 00000000000000..dd5d4ef12078ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_disaster_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_disaster_pipeline pipeline DistilBertForSequenceClassification from RaiRachit
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_disaster_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_disaster_pipeline` is a English model originally trained by RaiRachit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_disaster_pipeline_en_5.5.0_3.0_1727108529116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_disaster_pipeline_en_5.5.0_3.0_1727108529116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_disaster_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_disaster_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_disaster_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RaiRachit/distilbert-base-uncased-finetuned-disaster
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_2hab_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_2hab_pipeline_en.md
new file mode 100644
index 00000000000000..d048816bddf34b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_2hab_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_2hab_pipeline pipeline DistilBertForSequenceClassification from 2hab
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_2hab_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_2hab_pipeline` is a English model originally trained by 2hab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2hab_pipeline_en_5.5.0_3.0_1727110408334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2hab_pipeline_en_5.5.0_3.0_1727110408334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_2hab_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_2hab_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_2hab_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/2hab/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_adelineli_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_adelineli_en.md
new file mode 100644
index 00000000000000..f57b7816679dac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_adelineli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_adelineli DistilBertForSequenceClassification from adelineli
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_adelineli
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_adelineli` is a English model originally trained by adelineli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adelineli_en_5.5.0_3.0_1727108384522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adelineli_en_5.5.0_3.0_1727108384522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_adelineli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adelineli/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_adelineli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_adelineli_pipeline_en.md
new file mode 100644
index 00000000000000..8381d977289ca2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_adelineli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_adelineli_pipeline pipeline DistilBertForSequenceClassification from adelineli
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_adelineli_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_adelineli_pipeline` is a English model originally trained by adelineli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adelineli_pipeline_en_5.5.0_3.0_1727108396360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adelineli_pipeline_en_5.5.0_3.0_1727108396360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_adelineli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_adelineli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_adelineli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adelineli/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline_en.md
new file mode 100644
index 00000000000000..832865b0f7fb73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline pipeline DistilBertForSequenceClassification from cogsci13
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline` is a English model originally trained by cogsci13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline_en_5.5.0_3.0_1727082522178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline_en_5.5.0_3.0_1727082522178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cogsci13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cogsci13/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_devs0n_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_devs0n_pipeline_en.md
new file mode 100644
index 00000000000000..fe1a00a3e51f32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_devs0n_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_devs0n_pipeline pipeline DistilBertForSequenceClassification from devs0n
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_devs0n_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_devs0n_pipeline` is a English model originally trained by devs0n.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_devs0n_pipeline_en_5.5.0_3.0_1727059485004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_devs0n_pipeline_en_5.5.0_3.0_1727059485004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_devs0n_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_devs0n_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_devs0n_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/devs0n/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jachs182_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jachs182_en.md
new file mode 100644
index 00000000000000..b9475af22bb757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jachs182_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jachs182 DistilBertForSequenceClassification from jachs182
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jachs182
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jachs182` is a English model originally trained by jachs182.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jachs182_en_5.5.0_3.0_1727059762812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jachs182_en_5.5.0_3.0_1727059762812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jachs182|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jachs182/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jrsky_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jrsky_en.md
new file mode 100644
index 00000000000000..a3352d304dce1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jrsky_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jrsky DistilBertForSequenceClassification from jrsky
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jrsky
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jrsky` is a English model originally trained by jrsky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jrsky_en_5.5.0_3.0_1727073517647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jrsky_en_5.5.0_3.0_1727073517647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jrsky|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jrsky/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jrsky_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jrsky_pipeline_en.md
new file mode 100644
index 00000000000000..c37d128a3db7ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_jrsky_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jrsky_pipeline pipeline DistilBertForSequenceClassification from jrsky
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jrsky_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jrsky_pipeline` is a English model originally trained by jrsky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jrsky_pipeline_en_5.5.0_3.0_1727073536479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jrsky_pipeline_en_5.5.0_3.0_1727073536479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_jrsky_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_jrsky_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jrsky_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jrsky/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_mikhab_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_mikhab_pipeline_en.md
new file mode 100644
index 00000000000000..0532d821d39cbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_mikhab_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mikhab_pipeline pipeline DistilBertForSequenceClassification from mikhab
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mikhab_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mikhab_pipeline` is a English model originally trained by mikhab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mikhab_pipeline_en_5.5.0_3.0_1727059492056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mikhab_pipeline_en_5.5.0_3.0_1727059492056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mikhab_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mikhab_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mikhab_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mikhab/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline_en.md
new file mode 100644
index 00000000000000..81fbb07fe72c2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline pipeline DistilBertForSequenceClassification from trsekhar
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline` is a English model originally trained by trsekhar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline_en_5.5.0_3.0_1727073969465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline_en_5.5.0_3.0_1727073969465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_trsekhar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/trsekhar/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_zcstarr_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_zcstarr_en.md
new file mode 100644
index 00000000000000..280e9d9fa157bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_emotion_zcstarr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_zcstarr DistilBertForSequenceClassification from zcstarr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_zcstarr
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zcstarr` is a English model originally trained by zcstarr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zcstarr_en_5.5.0_3.0_1727059325176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zcstarr_en_5.5.0_3.0_1727059325176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_zcstarr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zcstarr/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_intro2_verizon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_intro2_verizon_pipeline_en.md
new file mode 100644
index 00000000000000..f9bfb2a0ea0729
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finetuned_intro2_verizon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_intro2_verizon_pipeline pipeline DistilBertForSequenceClassification from TieIncred
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_intro2_verizon_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_intro2_verizon_pipeline` is a English model originally trained by TieIncred.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_intro2_verizon_pipeline_en_5.5.0_3.0_1727086987155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_intro2_verizon_pipeline_en_5.5.0_3.0_1727086987155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_intro2_verizon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_intro2_verizon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_intro2_verizon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TieIncred/distilbert-base-uncased-finetuned-intro2-verizon
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finteuned_emotion_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finteuned_emotion_en.md
new file mode 100644
index 00000000000000..3ba4e7b67e8ee5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_finteuned_emotion_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finteuned_emotion DistilBertForSequenceClassification from sknera
+author: John Snow Labs
+name: distilbert_base_uncased_finteuned_emotion
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finteuned_emotion` is a English model originally trained by sknera.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finteuned_emotion_en_5.5.0_3.0_1727074062122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finteuned_emotion_en_5.5.0_3.0_1727074062122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finteuned_emotion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sknera/distilbert-base-uncased-finteuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_imdb_dfurman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_imdb_dfurman_pipeline_en.md
new file mode 100644
index 00000000000000..4916b1f1223c02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_imdb_dfurman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_dfurman_pipeline pipeline DistilBertForSequenceClassification from dfurman
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_dfurman_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_dfurman_pipeline` is a English model originally trained by dfurman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_dfurman_pipeline_en_5.5.0_3.0_1727086937837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_dfurman_pipeline_en_5.5.0_3.0_1727086937837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_imdb_dfurman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_imdb_dfurman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_dfurman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dfurman/distilbert-base-uncased-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_lora_text_classification_lincgr_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_lora_text_classification_lincgr_en.md
new file mode 100644
index 00000000000000..6e201509c0dbf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_lora_text_classification_lincgr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_lora_text_classification_lincgr DistilBertForSequenceClassification from lincgr
+author: John Snow Labs
+name: distilbert_base_uncased_lora_text_classification_lincgr
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_lora_text_classification_lincgr` is a English model originally trained by lincgr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_lora_text_classification_lincgr_en_5.5.0_3.0_1727059557405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_lora_text_classification_lincgr_en_5.5.0_3.0_1727059557405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_lora_text_classification_lincgr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lincgr/distilbert-base-uncased-lora-text-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100_en.md
new file mode 100644
index 00000000000000..d325a7b0d9935a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1727097377994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1727097377994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st16sd_ut12ut1_plprefix0stlarge_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st16sd_ut12ut1_PLPrefix0stlarge_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..c4c7f1e21c8b67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1727108569798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline_en_5.5.0_3.0_1727108569798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st16sd_ut72ut1largePfxNf_simsp300_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..461d86c16b5cf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1727110627225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1727110627225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st16sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st16sd_ut72ut3_PLPrefix0stlarge_simsp100_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st21sd_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st21sd_en.md
new file mode 100644
index 00000000000000..bc2665ea6ebcb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st21sd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st21sd DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st21sd
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st21sd` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st21sd_en_5.5.0_3.0_1727094104025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st21sd_en_5.5.0_3.0_1727094104025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st21sd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st21sd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..fc2cb577a1b7b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1727093579982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1727093579982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st2sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st2sd_ut72ut5_PLPrefix0stlarge_simsp100_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100_en.md
new file mode 100644
index 00000000000000..94218329e654f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100_en_5.5.0_3.0_1727082750419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100_en_5.5.0_3.0_1727082750419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st6sd_ut72ut5_PLPrefix0stlarge_simsp100_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en.md
new file mode 100644
index 00000000000000..2b6733a6b7acd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en_5.5.0_3.0_1727073730231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en_5.5.0_3.0_1727073730231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st6sd_ut72ut5_PLPrefix0stlarge_simsp100_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..3dc04416cf68f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en_5.5.0_3.0_1727073742331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en_5.5.0_3.0_1727073742331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st6sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st6sd_ut72ut5_PLPrefix0stlarge_simsp100_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp_en.md
new file mode 100644
index 00000000000000..fa8df53934ca63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp_en_5.5.0_3.0_1727096947443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp_en_5.5.0_3.0_1727096947443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut102ut1_plain_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut102ut1_plain_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_fine_turned_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_fine_turned_classification_pipeline_en.md
new file mode 100644
index 00000000000000..765fc7f70b7f3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_fine_turned_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_fine_turned_classification_pipeline pipeline DistilBertForSequenceClassification from abhimanyuaryan
+author: John Snow Labs
+name: distilbert_fine_turned_classification_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fine_turned_classification_pipeline` is a English model originally trained by abhimanyuaryan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fine_turned_classification_pipeline_en_5.5.0_3.0_1727110516132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fine_turned_classification_pipeline_en_5.5.0_3.0_1727110516132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_fine_turned_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_fine_turned_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fine_turned_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abhimanyuaryan/distilbert-fine-turned-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_foundation_category_funders_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_foundation_category_funders_pipeline_en.md
new file mode 100644
index 00000000000000..dd16125c80ed5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_foundation_category_funders_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_foundation_category_funders_pipeline pipeline DistilBertForSequenceClassification from eric-mc2
+author: John Snow Labs
+name: distilbert_foundation_category_funders_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_foundation_category_funders_pipeline` is a English model originally trained by eric-mc2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_foundation_category_funders_pipeline_en_5.5.0_3.0_1727108682112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_foundation_category_funders_pipeline_en_5.5.0_3.0_1727108682112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_foundation_category_funders_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_foundation_category_funders_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_foundation_category_funders_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/eric-mc2/distilbert-foundation-category-funders
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_ft_sst5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_ft_sst5_pipeline_en.md
new file mode 100644
index 00000000000000..1ce753585a7eb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_ft_sst5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_ft_sst5_pipeline pipeline DistilBertForSequenceClassification from pablo-chocobar
+author: John Snow Labs
+name: distilbert_ft_sst5_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_ft_sst5_pipeline` is a English model originally trained by pablo-chocobar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_ft_sst5_pipeline_en_5.5.0_3.0_1727097146414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_ft_sst5_pipeline_en_5.5.0_3.0_1727097146414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_ft_sst5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_ft_sst5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_ft_sst5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pablo-chocobar/distilbert-ft-sst5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_imdb_decentmakeover13_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_imdb_decentmakeover13_en.md
new file mode 100644
index 00000000000000..6661323b0cf8e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_imdb_decentmakeover13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_imdb_decentmakeover13 DistilBertForSequenceClassification from decentmakeover13
+author: John Snow Labs
+name: distilbert_imdb_decentmakeover13
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_decentmakeover13` is a English model originally trained by decentmakeover13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_decentmakeover13_en_5.5.0_3.0_1727082283749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_decentmakeover13_en_5.5.0_3.0_1727082283749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_decentmakeover13|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/decentmakeover13/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_nbx_all_l_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_nbx_all_l_pipeline_en.md
new file mode 100644
index 00000000000000..4023867c09ee48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_nbx_all_l_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_nbx_all_l_pipeline pipeline DistilBertForSequenceClassification from vishnuhaasan
+author: John Snow Labs
+name: distilbert_nbx_all_l_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_nbx_all_l_pipeline` is a English model originally trained by vishnuhaasan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_nbx_all_l_pipeline_en_5.5.0_3.0_1727073535793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_nbx_all_l_pipeline_en_5.5.0_3.0_1727073535793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_nbx_all_l_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_nbx_all_l_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_nbx_all_l_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/vishnuhaasan/distilbert_nbx_all_l
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_new2_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_new2_en.md
new file mode 100644
index 00000000000000..7e6648c7a27b71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_new2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_new2 DistilBertForSequenceClassification from wnic00
+author: John Snow Labs
+name: distilbert_new2
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_new2` is a English model originally trained by wnic00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_new2_en_5.5.0_3.0_1727082733068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_new2_en_5.5.0_3.0_1727082733068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_new2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wnic00/distilbert-new2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_new2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_new2_pipeline_en.md
new file mode 100644
index 00000000000000..f9ead7b84cd5a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_new2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_new2_pipeline pipeline DistilBertForSequenceClassification from wnic00
+author: John Snow Labs
+name: distilbert_new2_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_new2_pipeline` is a English model originally trained by wnic00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_new2_pipeline_en_5.5.0_3.0_1727082744930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_new2_pipeline_en_5.5.0_3.0_1727082744930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_new2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_new2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_new2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wnic00/distilbert-new2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256_en.md
new file mode 100644
index 00000000000000..db76f79a149c19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256_en_5.5.0_3.0_1727108475119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256_en_5.5.0_3.0_1727108475119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_mrpc_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_mrpc_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384_en.md
new file mode 100644
index 00000000000000..18de5c490d0c27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384_en_5.5.0_3.0_1727097080143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384_en_5.5.0_3.0_1727097080143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_384|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|111.9 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_qnli_384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_sentiment_test_2023dec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_sentiment_test_2023dec_pipeline_en.md
new file mode 100644
index 00000000000000..072bb340235362
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_sentiment_test_2023dec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sentiment_test_2023dec_pipeline pipeline DistilBertForSequenceClassification from FungSung
+author: John Snow Labs
+name: distilbert_sentiment_test_2023dec_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment_test_2023dec_pipeline` is a English model originally trained by FungSung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_test_2023dec_pipeline_en_5.5.0_3.0_1727108699800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_test_2023dec_pipeline_en_5.5.0_3.0_1727108699800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sentiment_test_2023dec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sentiment_test_2023dec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment_test_2023dec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/FungSung/distilBert_sentiment_test_2023DEC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_twitterfin_padding70model_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_twitterfin_padding70model_en.md
new file mode 100644
index 00000000000000..2712701fb1312c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_twitterfin_padding70model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_twitterfin_padding70model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_twitterfin_padding70model
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_twitterfin_padding70model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding70model_en_5.5.0_3.0_1727059744593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding70model_en_5.5.0_3.0_1727059744593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_twitterfin_padding70model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_twitterfin_padding70model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-environmentalbert_forest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-environmentalbert_forest_pipeline_en.md
new file mode 100644
index 00000000000000..9db6a3b81f56d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-environmentalbert_forest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English environmentalbert_forest_pipeline pipeline RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: environmentalbert_forest_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`environmentalbert_forest_pipeline` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/environmentalbert_forest_pipeline_en_5.5.0_3.0_1727135088453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/environmentalbert_forest_pipeline_en_5.5.0_3.0_1727135088453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("environmentalbert_forest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("environmentalbert_forest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|environmentalbert_forest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/EnvironmentalBERT-forest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-fake_news_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-fake_news_pipeline_en.md
new file mode 100644
index 00000000000000..786ca13f902edf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-fake_news_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fake_news_pipeline pipeline DistilBertForSequenceClassification from nlp-godfathers
+author: John Snow Labs
+name: fake_news_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_pipeline` is a English model originally trained by nlp-godfathers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_pipeline_en_5.5.0_3.0_1727082229446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_pipeline_en_5.5.0_3.0_1727082229446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fake_news_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fake_news_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.3 MB|
+
+## References
+
+https://huggingface.co/nlp-godfathers/fake_news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-fine_tuned_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-fine_tuned_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..2050ec673e31d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-fine_tuned_roberta_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_roberta_base_pipeline pipeline BertForQuestionAnswering from kiwakwok
+author: John Snow Labs
+name: fine_tuned_roberta_base_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_roberta_base_pipeline` is a English model originally trained by kiwakwok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_base_pipeline_en_5.5.0_3.0_1727106733404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_base_pipeline_en_5.5.0_3.0_1727106733404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|382.3 MB|
+
+## References
+
+https://huggingface.co/kiwakwok/fine-tuned-roberta-base
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-fine_tuning_en.md b/docs/_posts/ahmedlone127/2024-09-23-fine_tuning_en.md
new file mode 100644
index 00000000000000..c175317a51d20f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-fine_tuning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuning DistilBertForSequenceClassification from StevensRV93
+author: John Snow Labs
+name: fine_tuning
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuning` is a English model originally trained by StevensRV93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuning_en_5.5.0_3.0_1727093913733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuning_en_5.5.0_3.0_1727093913733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuning|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/StevensRV93/Fine_tuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline_en.md
new file mode 100644
index 00000000000000..801c516e3ea8ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline pipeline RoBertaForTokenClassification from manucos
+author: John Snow Labs
+name: finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline_en_5.5.0_3.0_1727081628091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline_en_5.5.0_3.0_1727081628091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|469.8 MB|
+
+## References
+
+https://huggingface.co/manucos/finetuned__roberta-clinical-wl-es__augmented-ultrasounds-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuned_model_imsoumyaneel_25k_epoch_10_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuned_model_imsoumyaneel_25k_epoch_10_en.md
new file mode 100644
index 00000000000000..83dc09fdfb9fc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuned_model_imsoumyaneel_25k_epoch_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_model_imsoumyaneel_25k_epoch_10 DistilBertForSequenceClassification from rahulgaikwad007
+author: John Snow Labs
+name: finetuned_model_imsoumyaneel_25k_epoch_10
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_model_imsoumyaneel_25k_epoch_10` is a English model originally trained by rahulgaikwad007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_model_imsoumyaneel_25k_epoch_10_en_5.5.0_3.0_1727086875704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_model_imsoumyaneel_25k_epoch_10_en_5.5.0_3.0_1727086875704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_model_imsoumyaneel_25k_epoch_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rahulgaikwad007/Finetuned-model-imsoumyaneel-25k-Epoch-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuned_model_on_4k_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuned_model_on_4k_samples_pipeline_en.md
new file mode 100644
index 00000000000000..06a3f249375fa8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuned_model_on_4k_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_model_on_4k_samples_pipeline pipeline DistilBertForSequenceClassification from Wolverine001
+author: John Snow Labs
+name: finetuned_model_on_4k_samples_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_model_on_4k_samples_pipeline` is a English model originally trained by Wolverine001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_model_on_4k_samples_pipeline_en_5.5.0_3.0_1727059659123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_model_on_4k_samples_pipeline_en_5.5.0_3.0_1727059659123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_model_on_4k_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_model_on_4k_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_model_on_4k_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Wolverine001/finetuned_model_on-4k-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_ducpham1501_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_ducpham1501_pipeline_en.md
new file mode 100644
index 00000000000000..a9746674632a4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_ducpham1501_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ducpham1501_pipeline pipeline DistilBertForSequenceClassification from DucPham1501
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ducpham1501_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ducpham1501_pipeline` is a English model originally trained by DucPham1501.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ducpham1501_pipeline_en_5.5.0_3.0_1727087293159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ducpham1501_pipeline_en_5.5.0_3.0_1727087293159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_ducpham1501_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_ducpham1501_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ducpham1501_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DucPham1501/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_h9v8_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_h9v8_en.md
new file mode 100644
index 00000000000000..d25435add01229
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_h9v8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_h9v8 DistilBertForSequenceClassification from H9V8
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_h9v8
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_h9v8` is a English model originally trained by H9V8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_h9v8_en_5.5.0_3.0_1727097239450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_h9v8_en_5.5.0_3.0_1727097239450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_h9v8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/H9V8/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_ih8l1ght_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_ih8l1ght_en.md
new file mode 100644
index 00000000000000..443932da4ccede
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_ih8l1ght_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ih8l1ght DistilBertForSequenceClassification from ih8l1ght
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ih8l1ght
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ih8l1ght` is a English model originally trained by ih8l1ght.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ih8l1ght_en_5.5.0_3.0_1727094027763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ih8l1ght_en_5.5.0_3.0_1727094027763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ih8l1ght|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ih8l1ght/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_lusinep_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_lusinep_en.md
new file mode 100644
index 00000000000000..f25796d7b2c6dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_lusinep_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_lusinep DistilBertForSequenceClassification from lusinep
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_lusinep
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lusinep` is a English model originally trained by lusinep.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lusinep_en_5.5.0_3.0_1727059771336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lusinep_en_5.5.0_3.0_1727059771336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_lusinep|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lusinep/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_lusinep_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_lusinep_pipeline_en.md
new file mode 100644
index 00000000000000..288482b39730c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_lusinep_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_lusinep_pipeline pipeline DistilBertForSequenceClassification from lusinep
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_lusinep_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lusinep_pipeline` is a English model originally trained by lusinep.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lusinep_pipeline_en_5.5.0_3.0_1727059785312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lusinep_pipeline_en_5.5.0_3.0_1727059785312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_lusinep_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_lusinep_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_lusinep_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lusinep/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_murali07_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_murali07_pipeline_en.md
new file mode 100644
index 00000000000000..4c79ce580369f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_murali07_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_murali07_pipeline pipeline DistilBertForSequenceClassification from murali07
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_murali07_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_murali07_pipeline` is a English model originally trained by murali07.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_murali07_pipeline_en_5.5.0_3.0_1727108485534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_murali07_pipeline_en_5.5.0_3.0_1727108485534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_murali07_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_murali07_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_murali07_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/murali07/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_nandyala12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_nandyala12_pipeline_en.md
new file mode 100644
index 00000000000000..8a86eba06d4e88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_nandyala12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_nandyala12_pipeline pipeline DistilBertForSequenceClassification from Nandyala12
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_nandyala12_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nandyala12_pipeline` is a English model originally trained by Nandyala12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nandyala12_pipeline_en_5.5.0_3.0_1727097369985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nandyala12_pipeline_en_5.5.0_3.0_1727097369985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_nandyala12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_nandyala12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_nandyala12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Nandyala12/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_5000_amazon_cm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_5000_amazon_cm_pipeline_en.md
new file mode 100644
index 00000000000000..9a5bcf401c82a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_5000_amazon_cm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_5000_amazon_cm_pipeline pipeline DistilBertForSequenceClassification from abyesses
+author: John Snow Labs
+name: finetuning_sentiment_model_5000_amazon_cm_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_amazon_cm_pipeline` is a English model originally trained by abyesses.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazon_cm_pipeline_en_5.5.0_3.0_1727096962720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazon_cm_pipeline_en_5.5.0_3.0_1727096962720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_5000_amazon_cm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_5000_amazon_cm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_5000_amazon_cm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abyesses/finetuning-sentiment-model-5000-amazon_cm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_lomve_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_lomve_en.md
new file mode 100644
index 00000000000000..b98abf3fbf261e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_lomve_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_lomve DistilBertForSequenceClassification from lomve
+author: John Snow Labs
+name: finetuning_sentiment_model_lomve
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_lomve` is a English model originally trained by lomve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lomve_en_5.5.0_3.0_1727082406112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lomve_en_5.5.0_3.0_1727082406112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_lomve|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lomve/finetuning-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_lomve_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_lomve_pipeline_en.md
new file mode 100644
index 00000000000000..509e015a9dad1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_lomve_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_lomve_pipeline pipeline DistilBertForSequenceClassification from lomve
+author: John Snow Labs
+name: finetuning_sentiment_model_lomve_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_lomve_pipeline` is a English model originally trained by lomve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lomve_pipeline_en_5.5.0_3.0_1727082420725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lomve_pipeline_en_5.5.0_3.0_1727082420725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_lomve_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_lomve_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_lomve_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lomve/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-happy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-happy_pipeline_en.md
new file mode 100644
index 00000000000000..9f3343de126ced
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-happy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English happy_pipeline pipeline RoBertaEmbeddings from MatthijsN
+author: John Snow Labs
+name: happy_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`happy_pipeline` is a English model originally trained by MatthijsN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/happy_pipeline_en_5.5.0_3.0_1727057083302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/happy_pipeline_en_5.5.0_3.0_1727057083302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("happy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("happy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|happy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/MatthijsN/happy
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-harmful_content_trainer_en.md b/docs/_posts/ahmedlone127/2024-09-23-harmful_content_trainer_en.md
new file mode 100644
index 00000000000000..1c5084101da8af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-harmful_content_trainer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English harmful_content_trainer DistilBertForSequenceClassification from AIUs3r0
+author: John Snow Labs
+name: harmful_content_trainer
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`harmful_content_trainer` is a English model originally trained by AIUs3r0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/harmful_content_trainer_en_5.5.0_3.0_1727059847466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/harmful_content_trainer_en_5.5.0_3.0_1727059847466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|humor_recognition_greek_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|el|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/Kalloniatis/Humor-Recognition-Greek-DistilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-hw01_chchang_en.md b/docs/_posts/ahmedlone127/2024-09-23-hw01_chchang_en.md
new file mode 100644
index 00000000000000..928a4b1a93716f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-hw01_chchang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hw01_chchang DistilBertForSequenceClassification from CHChang
+author: John Snow Labs
+name: hw01_chchang
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw01_chchang` is a English model originally trained by CHChang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw01_chchang_en_5.5.0_3.0_1727093797638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw01_chchang_en_5.5.0_3.0_1727093797638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw01_chchang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CHChang/HW01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-hw1223_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-hw1223_01_pipeline_en.md
new file mode 100644
index 00000000000000..4496732edd9a25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-hw1223_01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw1223_01_pipeline pipeline DistilBertForSequenceClassification from tunyu
+author: John Snow Labs
+name: hw1223_01_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1223_01_pipeline` is a English model originally trained by tunyu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1223_01_pipeline_en_5.5.0_3.0_1727059554935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1223_01_pipeline_en_5.5.0_3.0_1727059554935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw1223_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw1223_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw1223_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tunyu/HW1223_01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-hw_1_irisliou_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-hw_1_irisliou_pipeline_en.md
new file mode 100644
index 00000000000000..2b7f9feb9472d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-hw_1_irisliou_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw_1_irisliou_pipeline pipeline DistilBertForSequenceClassification from IrisLiou
+author: John Snow Labs
+name: hw_1_irisliou_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw_1_irisliou_pipeline` is a English model originally trained by IrisLiou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw_1_irisliou_pipeline_en_5.5.0_3.0_1727093832450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw_1_irisliou_pipeline_en_5.5.0_3.0_1727093832450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw_1_irisliou_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw_1_irisliou_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw_1_irisliou_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/IrisLiou/hw-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-id2223_lab2_whisper_nelanbu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-id2223_lab2_whisper_nelanbu_pipeline_en.md
new file mode 100644
index 00000000000000..042a3977ca5835
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-id2223_lab2_whisper_nelanbu_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English id2223_lab2_whisper_nelanbu_pipeline pipeline WhisperForCTC from nelanbu
+author: John Snow Labs
+name: id2223_lab2_whisper_nelanbu_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`id2223_lab2_whisper_nelanbu_pipeline` is a English model originally trained by nelanbu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/id2223_lab2_whisper_nelanbu_pipeline_en_5.5.0_3.0_1727052076788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/id2223_lab2_whisper_nelanbu_pipeline_en_5.5.0_3.0_1727052076788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("id2223_lab2_whisper_nelanbu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("id2223_lab2_whisper_nelanbu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|id2223_lab2_whisper_nelanbu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/nelanbu/ID2223_Lab2_Whisper
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-inisw08_robert_mlm_adamw_torch_bs8_en.md b/docs/_posts/ahmedlone127/2024-09-23-inisw08_robert_mlm_adamw_torch_bs8_en.md
new file mode 100644
index 00000000000000..24b77883261731
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-inisw08_robert_mlm_adamw_torch_bs8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English inisw08_robert_mlm_adamw_torch_bs8 RoBertaEmbeddings from ugiugi
+author: John Snow Labs
+name: inisw08_robert_mlm_adamw_torch_bs8
+date: 2024-09-23
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inisw08_robert_mlm_adamw_torch_bs8` is a English model originally trained by ugiugi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_adamw_torch_bs8_en_5.5.0_3.0_1727066103391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_adamw_torch_bs8_en_5.5.0_3.0_1727066103391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inisw08_robert_mlm_adamw_torch_bs8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/ugiugi/inisw08-RoBERT-mlm-adamw_torch_bs8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-kanglish_offensive_language_identification_en.md b/docs/_posts/ahmedlone127/2024-09-23-kanglish_offensive_language_identification_en.md
new file mode 100644
index 00000000000000..fe81565abc1430
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-kanglish_offensive_language_identification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English kanglish_offensive_language_identification RoBertaForSequenceClassification from seanbenhur
+author: John Snow Labs
+name: kanglish_offensive_language_identification
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kanglish_offensive_language_identification` is a English model originally trained by seanbenhur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kanglish_offensive_language_identification_en_5.5.0_3.0_1727134915581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kanglish_offensive_language_identification_en_5.5.0_3.0_1727134915581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kanglish_offensive_language_identification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|451.8 MB|
+
+## References
+
+https://huggingface.co/seanbenhur/kanglish-offensive-language-identification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-lab1_yanwen9969_en.md b/docs/_posts/ahmedlone127/2024-09-23-lab1_yanwen9969_en.md
new file mode 100644
index 00000000000000..6eb0b09b70278f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-lab1_yanwen9969_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_yanwen9969 DistilBertForSequenceClassification from Yanwen9969
+author: John Snow Labs
+name: lab1_yanwen9969
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_yanwen9969` is a English model originally trained by Yanwen9969.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_yanwen9969_en_5.5.0_3.0_1727108287546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_yanwen9969_en_5.5.0_3.0_1727108287546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_yanwen9969|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Yanwen9969/Lab1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-lab1_yanwen9969_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-lab1_yanwen9969_pipeline_en.md
new file mode 100644
index 00000000000000..7c0f44568f52c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-lab1_yanwen9969_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_yanwen9969_pipeline pipeline DistilBertForSequenceClassification from Yanwen9969
+author: John Snow Labs
+name: lab1_yanwen9969_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_yanwen9969_pipeline` is a English model originally trained by Yanwen9969.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_yanwen9969_pipeline_en_5.5.0_3.0_1727108304479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_yanwen9969_pipeline_en_5.5.0_3.0_1727108304479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_yanwen9969_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_yanwen9969_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_yanwen9969_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Yanwen9969/Lab1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-lab_11_distilbert_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-23-lab_11_distilbert_sentiment_en.md
new file mode 100644
index 00000000000000..4f88a4d6884ff4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-lab_11_distilbert_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab_11_distilbert_sentiment DistilBertForSequenceClassification from Malecc
+author: John Snow Labs
+name: lab_11_distilbert_sentiment
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab_11_distilbert_sentiment` is a English model originally trained by Malecc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab_11_distilbert_sentiment_en_5.5.0_3.0_1727097178410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab_11_distilbert_sentiment_en_5.5.0_3.0_1727097178410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab_11_distilbert_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Malecc/lab_11_distilbert_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-len_pruned_30_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-len_pruned_30_model_pipeline_en.md
new file mode 100644
index 00000000000000..e8b150caff080f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-len_pruned_30_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English len_pruned_30_model_pipeline pipeline DistilBertForSequenceClassification from andygoh5
+author: John Snow Labs
+name: len_pruned_30_model_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`len_pruned_30_model_pipeline` is a English model originally trained by andygoh5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/len_pruned_30_model_pipeline_en_5.5.0_3.0_1727093724827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/len_pruned_30_model_pipeline_en_5.5.0_3.0_1727093724827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("len_pruned_30_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("len_pruned_30_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|len_pruned_30_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andygoh5/len-pruned-30-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-liar_fake_news_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-23-liar_fake_news_roberta_base_en.md
new file mode 100644
index 00000000000000..53f2758d1321c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-liar_fake_news_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English liar_fake_news_roberta_base RoBertaEmbeddings from Jawaher
+author: John Snow Labs
+name: liar_fake_news_roberta_base
+date: 2024-09-23
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`liar_fake_news_roberta_base` is a English model originally trained by Jawaher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/liar_fake_news_roberta_base_en_5.5.0_3.0_1727092161072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/liar_fake_news_roberta_base_en_5.5.0_3.0_1727092161072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|liar_fake_news_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/Jawaher/LIAR-fake-news-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-melodea_final_model_en.md b/docs/_posts/ahmedlone127/2024-09-23-melodea_final_model_en.md
new file mode 100644
index 00000000000000..11c6216466a90a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-melodea_final_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English melodea_final_model RoBertaForSequenceClassification from GabiRayman
+author: John Snow Labs
+name: melodea_final_model
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`melodea_final_model` is a English model originally trained by GabiRayman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/melodea_final_model_en_5.5.0_3.0_1727055072815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/melodea_final_model_en_5.5.0_3.0_1727055072815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|melodea_final_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.4 MB|
+
+## References
+
+https://huggingface.co/GabiRayman/melodea_final-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-missingbertmodelfinal1_en.md b/docs/_posts/ahmedlone127/2024-09-23-missingbertmodelfinal1_en.md
new file mode 100644
index 00000000000000..874bfa0ef3f053
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-missingbertmodelfinal1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English missingbertmodelfinal1 DistilBertForSequenceClassification from sachit56
+author: John Snow Labs
+name: missingbertmodelfinal1
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`missingbertmodelfinal1` is a English model originally trained by sachit56.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/missingbertmodelfinal1_en_5.5.0_3.0_1727059660384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/missingbertmodelfinal1_en_5.5.0_3.0_1727059660384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|missingbertmodelfinal1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sachit56/missingbertmodelfinal1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-missingbertmodelfinal1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-missingbertmodelfinal1_pipeline_en.md
new file mode 100644
index 00000000000000..0f5ab07f52bb52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-missingbertmodelfinal1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English missingbertmodelfinal1_pipeline pipeline DistilBertForSequenceClassification from sachit56
+author: John Snow Labs
+name: missingbertmodelfinal1_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`missingbertmodelfinal1_pipeline` is a English model originally trained by sachit56.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/missingbertmodelfinal1_pipeline_en_5.5.0_3.0_1727059673068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/missingbertmodelfinal1_pipeline_en_5.5.0_3.0_1727059673068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("missingbertmodelfinal1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("missingbertmodelfinal1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|missingbertmodelfinal1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sachit56/missingbertmodelfinal1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-mt5_base_visp_s2_en.md b/docs/_posts/ahmedlone127/2024-09-23-mt5_base_visp_s2_en.md
new file mode 100644
index 00000000000000..4709d8a62ad48f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-mt5_base_visp_s2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mt5_base_visp_s2 T5Transformer from ngwgsang
+author: John Snow Labs
+name: mt5_base_visp_s2
+date: 2024-09-23
+tags: [en, open_source, onnx, t5, question_answering, summarization, translation, text_generation]
+task: [Question Answering, Summarization, Translation, Text Generation]
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: T5Transformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained T5Transformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mt5_base_visp_s2` is a English model originally trained by ngwgsang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mt5_base_visp_s2_en_5.5.0_3.0_1727068944585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mt5_base_visp_s2_en_5.5.0_3.0_1727068944585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|muril_large_chaii|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|hi|
+|Size:|1.9 GB|
+
+## References
+
+https://huggingface.co/abhishek/muril-large-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-n_distilbert_sst5_padding20model_en.md b/docs/_posts/ahmedlone127/2024-09-23-n_distilbert_sst5_padding20model_en.md
new file mode 100644
index 00000000000000..2f08870b8c9710
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-n_distilbert_sst5_padding20model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_distilbert_sst5_padding20model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_distilbert_sst5_padding20model
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_distilbert_sst5_padding20model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_sst5_padding20model_en_5.5.0_3.0_1727110752226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_sst5_padding20model_en_5.5.0_3.0_1727110752226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_sst5_padding20model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_distilbert_sst5_padding20model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-nepal_bhasa_model_vierpiet_en.md b/docs/_posts/ahmedlone127/2024-09-23-nepal_bhasa_model_vierpiet_en.md
new file mode 100644
index 00000000000000..a6b6583a1e7eb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-nepal_bhasa_model_vierpiet_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nepal_bhasa_model_vierpiet DistilBertForSequenceClassification from vierpiet
+author: John Snow Labs
+name: nepal_bhasa_model_vierpiet
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_model_vierpiet` is a English model originally trained by vierpiet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_model_vierpiet_en_5.5.0_3.0_1727082665415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_model_vierpiet_en_5.5.0_3.0_1727082665415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_model_vierpiet|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vierpiet/new_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-ner_model_nathali99_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-ner_model_nathali99_pipeline_en.md
new file mode 100644
index 00000000000000..bc8974cf1fdcbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-ner_model_nathali99_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_model_nathali99_pipeline pipeline BertForTokenClassification from Nathali99
+author: John Snow Labs
+name: ner_model_nathali99_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_model_nathali99_pipeline` is a English model originally trained by Nathali99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_model_nathali99_pipeline_en_5.5.0_3.0_1727129861197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_model_nathali99_pipeline_en_5.5.0_3.0_1727129861197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_model_nathali99_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_model_nathali99_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_model_nathali99_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Nathali99/ner-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1_en.md b/docs/_posts/ahmedlone127/2024-09-23-paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1_en.md
new file mode 100644
index 00000000000000..4a744ac0b28ae7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1 XlmRoBertaForSequenceClassification from victorych22
+author: John Snow Labs
+name: paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1` is a English model originally trained by victorych22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1_en_5.5.0_3.0_1727088308163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1_en_5.5.0_3.0_1727088308163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paraphrase_russian_crossencoder_mminilmv2_l12_h384_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|145.7 MB|
+
+## References
+
+https://huggingface.co/victorych22/paraphrase-russian-crossencoder-mMiniLMv2-L12-H384-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-paraquantizar_en.md b/docs/_posts/ahmedlone127/2024-09-23-paraquantizar_en.md
new file mode 100644
index 00000000000000..d48443f8580568
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-paraquantizar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English paraquantizar RoBertaForSequenceClassification from Heber77
+author: John Snow Labs
+name: paraquantizar
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paraquantizar` is a English model originally trained by Heber77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraquantizar_en_5.5.0_3.0_1727055575249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraquantizar_en_5.5.0_3.0_1727055575249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paraquantizar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/Heber77/paraquantizar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline_en.md
new file mode 100644
index 00000000000000..354cdf1cc13680
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline pipeline RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline_en_5.5.0_3.0_1727085913302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline_en_5.5.0_3.0_1727085913302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_glue_mrpc_eduardo_ag_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-glue-mrpc-eduardo-ag
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-pruned_30_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-pruned_30_model_pipeline_en.md
new file mode 100644
index 00000000000000..fb340c0d237fbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-pruned_30_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pruned_30_model_pipeline pipeline DistilBertForSequenceClassification from andygoh5
+author: John Snow Labs
+name: pruned_30_model_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pruned_30_model_pipeline` is a English model originally trained by andygoh5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pruned_30_model_pipeline_en_5.5.0_3.0_1727082419368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pruned_30_model_pipeline_en_5.5.0_3.0_1727082419368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pruned_30_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pruned_30_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pruned_30_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andygoh5/pruned-30-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-red_green_classification_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-red_green_classification_v3_pipeline_en.md
new file mode 100644
index 00000000000000..4f66fae0c4267f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-red_green_classification_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English red_green_classification_v3_pipeline pipeline DistilBertForSequenceClassification from pnr-svc
+author: John Snow Labs
+name: red_green_classification_v3_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`red_green_classification_v3_pipeline` is a English model originally trained by pnr-svc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/red_green_classification_v3_pipeline_en_5.5.0_3.0_1727108657324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/red_green_classification_v3_pipeline_en_5.5.0_3.0_1727108657324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("red_green_classification_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("red_green_classification_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|red_green_classification_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pnr-svc/red-green-classification-v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_base_airlines_news_multi_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_airlines_news_multi_en.md
new file mode 100644
index 00000000000000..a3b37aaf2f4a8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_airlines_news_multi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_airlines_news_multi RoBertaForSequenceClassification from dahe827
+author: John Snow Labs
+name: roberta_base_airlines_news_multi
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_airlines_news_multi` is a English model originally trained by dahe827.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_airlines_news_multi_en_5.5.0_3.0_1727085376883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_airlines_news_multi_en_5.5.0_3.0_1727085376883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_airlines_news_multi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|434.1 MB|
+
+## References
+
+https://huggingface.co/dahe827/roberta-base-airlines-news-multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_base_epoch_46_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_epoch_46_pipeline_en.md
new file mode 100644
index 00000000000000..54cbd129f71e3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_epoch_46_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_46_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_46_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_46_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_46_pipeline_en_5.5.0_3.0_1727122276146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_46_pipeline_en_5.5.0_3.0_1727122276146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_46_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_46_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_46_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_46
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_base_finetuned_sotus_v1_rile_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_finetuned_sotus_v1_rile_v1_pipeline_en.md
new file mode 100644
index 00000000000000..20cec9de03f6db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_finetuned_sotus_v1_rile_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_sotus_v1_rile_v1_pipeline pipeline RoBertaForSequenceClassification from kghanlon
+author: John Snow Labs
+name: roberta_base_finetuned_sotus_v1_rile_v1_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_sotus_v1_rile_v1_pipeline` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sotus_v1_rile_v1_pipeline_en_5.5.0_3.0_1727135671938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sotus_v1_rile_v1_pipeline_en_5.5.0_3.0_1727135671938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_sotus_v1_rile_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_sotus_v1_rile_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_sotus_v1_rile_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/kghanlon/roberta-base-finetuned-SOTUs-v1-RILE-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_base_finetuned_wallisian_manual_7ep_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_finetuned_wallisian_manual_7ep_pipeline_en.md
new file mode 100644
index 00000000000000..2b11b0a8aa1cf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_finetuned_wallisian_manual_7ep_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_wallisian_manual_7ep_pipeline pipeline RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: roberta_base_finetuned_wallisian_manual_7ep_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_wallisian_manual_7ep_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_manual_7ep_pipeline_en_5.5.0_3.0_1727092303503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_manual_7ep_pipeline_en_5.5.0_3.0_1727092303503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_wallisian_manual_7ep_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_wallisian_manual_7ep_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_manual_7ep_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/btamm12/roberta-base-finetuned-wls-manual-7ep
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_base_go_emotions_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_go_emotions_en.md
new file mode 100644
index 00000000000000..a5f56c9c243c42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_go_emotions_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English roberta_base_go_emotions RoBertaForSequenceClassification from SamLowe
+author: John Snow Labs
+name: roberta_base_go_emotions
+date: 2024-09-23
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_go_emotions` is a English model originally trained by SamLowe.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_go_emotions_en_5.5.0_3.0_1727082387278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_go_emotions_en_5.5.0_3.0_1727082387278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_go_emotions|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/SamLowe/roberta-base-go_emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_base_snli_mtreviso_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_snli_mtreviso_pipeline_en.md
new file mode 100644
index 00000000000000..db9c1c3ba239f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_snli_mtreviso_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_snli_mtreviso_pipeline pipeline RoBertaForSequenceClassification from mtreviso
+author: John Snow Labs
+name: roberta_base_snli_mtreviso_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_snli_mtreviso_pipeline` is a English model originally trained by mtreviso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_snli_mtreviso_pipeline_en_5.5.0_3.0_1727134870752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_snli_mtreviso_pipeline_en_5.5.0_3.0_1727134870752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_snli_mtreviso_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_snli_mtreviso_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_snli_mtreviso_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/mtreviso/roberta-base-snli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_conll_epoch_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_conll_epoch_4_pipeline_en.md
new file mode 100644
index 00000000000000..003b15c78fab18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_conll_epoch_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_conll_epoch_4_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_conll_epoch_4_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_conll_epoch_4_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_conll_epoch_4_pipeline_en_5.5.0_3.0_1727081480063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_conll_epoch_4_pipeline_en_5.5.0_3.0_1727081480063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_conll_epoch_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_conll_epoch_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_conll_epoch_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_conll_epoch_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_finetuned_danish_task_b_100k_5_labels_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_finetuned_danish_task_b_100k_5_labels_en.md
new file mode 100644
index 00000000000000..b5eed69c84ee3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_finetuned_danish_task_b_100k_5_labels_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_finetuned_danish_task_b_100k_5_labels RoBertaForSequenceClassification from bitsanlp
+author: John Snow Labs
+name: roberta_finetuned_danish_task_b_100k_5_labels
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_danish_task_b_100k_5_labels` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_danish_task_b_100k_5_labels_en_5.5.0_3.0_1727085646890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_danish_task_b_100k_5_labels_en_5.5.0_3.0_1727085646890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_danish_task_b_100k_5_labels|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/bitsanlp/roberta-finetuned-DA-task-B-100k-5-labels
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_large_conv_contradiction_detector_v0_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_large_conv_contradiction_detector_v0_en.md
new file mode 100644
index 00000000000000..6df1ed738cb00b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_large_conv_contradiction_detector_v0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_conv_contradiction_detector_v0 RoBertaForSequenceClassification from ynie
+author: John Snow Labs
+name: roberta_large_conv_contradiction_detector_v0
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_conv_contradiction_detector_v0` is a English model originally trained by ynie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_conv_contradiction_detector_v0_en_5.5.0_3.0_1727086292184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_conv_contradiction_detector_v0_en_5.5.0_3.0_1727086292184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_conv_contradiction_detector_v0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ynie/roberta-large_conv_contradiction_detector_v0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_large_conv_contradiction_detector_v0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_large_conv_contradiction_detector_v0_pipeline_en.md
new file mode 100644
index 00000000000000..0ba8006fdc86c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_large_conv_contradiction_detector_v0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_conv_contradiction_detector_v0_pipeline pipeline RoBertaForSequenceClassification from ynie
+author: John Snow Labs
+name: roberta_large_conv_contradiction_detector_v0_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_conv_contradiction_detector_v0_pipeline` is a English model originally trained by ynie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_conv_contradiction_detector_v0_pipeline_en_5.5.0_3.0_1727086363656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_conv_contradiction_detector_v0_pipeline_en_5.5.0_3.0_1727086363656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_conv_contradiction_detector_v0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_conv_contradiction_detector_v0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_conv_contradiction_detector_v0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ynie/roberta-large_conv_contradiction_detector_v0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sector_multilabel_climatebert_f_en.md b/docs/_posts/ahmedlone127/2024-09-23-sector_multilabel_climatebert_f_en.md
new file mode 100644
index 00000000000000..3cc5011fac7648
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sector_multilabel_climatebert_f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sector_multilabel_climatebert_f RoBertaForSequenceClassification from GIZ
+author: John Snow Labs
+name: sector_multilabel_climatebert_f
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sector_multilabel_climatebert_f` is a English model originally trained by GIZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sector_multilabel_climatebert_f_en_5.5.0_3.0_1727085913596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sector_multilabel_climatebert_f_en_5.5.0_3.0_1727085913596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sector_multilabel_climatebert_f|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.7 MB|
+
+## References
+
+https://huggingface.co/GIZ/SECTOR-multilabel-climatebert_f
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_buddhist_sanskrit_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_buddhist_sanskrit_en.md
new file mode 100644
index 00000000000000..f5f916357820f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_buddhist_sanskrit_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_buddhist_sanskrit BertSentenceEmbeddings from Matej
+author: John Snow Labs
+name: sent_bert_base_buddhist_sanskrit
+date: 2024-09-23
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_buddhist_sanskrit` is a English model originally trained by Matej.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_buddhist_sanskrit_en_5.5.0_3.0_1727105457117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_buddhist_sanskrit_en_5.5.0_3.0_1727105457117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_buddhist_sanskrit|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Matej/bert-base-buddhist-sanskrit
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_buddhist_sanskrit_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_buddhist_sanskrit_pipeline_en.md
new file mode 100644
index 00000000000000..ff38966dcc8479
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_buddhist_sanskrit_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_buddhist_sanskrit_pipeline pipeline BertSentenceEmbeddings from Matej
+author: John Snow Labs
+name: sent_bert_base_buddhist_sanskrit_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_buddhist_sanskrit_pipeline` is a English model originally trained by Matej.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_buddhist_sanskrit_pipeline_en_5.5.0_3.0_1727105476589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_buddhist_sanskrit_pipeline_en_5.5.0_3.0_1727105476589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_buddhist_sanskrit_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_buddhist_sanskrit_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_buddhist_sanskrit_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/Matej/bert-base-buddhist-sanskrit
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_english_japanese_cased_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_english_japanese_cased_en.md
new file mode 100644
index 00000000000000..11049c42709e03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_english_japanese_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_japanese_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_japanese_cased
+date: 2024-09-23
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_japanese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_japanese_cased_en_5.5.0_3.0_1727104978654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_japanese_cased_en_5.5.0_3.0_1727104978654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_japanese_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|416.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ja-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_stackoverflow_comments_1m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_stackoverflow_comments_1m_pipeline_en.md
new file mode 100644
index 00000000000000..37648299a88fa5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_stackoverflow_comments_1m_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_stackoverflow_comments_1m_pipeline pipeline BertSentenceEmbeddings from giganticode
+author: John Snow Labs
+name: sent_bert_base_stackoverflow_comments_1m_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_stackoverflow_comments_1m_pipeline` is a English model originally trained by giganticode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_stackoverflow_comments_1m_pipeline_en_5.5.0_3.0_1727122982883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_stackoverflow_comments_1m_pipeline_en_5.5.0_3.0_1727122982883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_stackoverflow_comments_1m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_stackoverflow_comments_1m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_stackoverflow_comments_1m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/giganticode/bert-base-StackOverflow-comments_1M
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_danish_pipeline_da.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_danish_pipeline_da.md
new file mode 100644
index 00000000000000..bf933cfb0a4583
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_danish_pipeline_da.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Danish sent_bert_base_uncased_danish_pipeline pipeline BertSentenceEmbeddings from KennethTM
+author: John Snow Labs
+name: sent_bert_base_uncased_danish_pipeline
+date: 2024-09-23
+tags: [da, open_source, pipeline, onnx]
+task: Embeddings
+language: da
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_danish_pipeline` is a Danish model originally trained by KennethTM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_danish_pipeline_da_5.5.0_3.0_1727090911732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_danish_pipeline_da_5.5.0_3.0_1727090911732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_danish_pipeline", lang = "da")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_danish_pipeline", lang = "da")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_danish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|da|
+|Size:|408.6 MB|
+
+## References
+
+https://huggingface.co/KennethTM/bert-base-uncased-danish
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_duplicate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_duplicate_pipeline_en.md
new file mode 100644
index 00000000000000..08b9729e4e7328
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_duplicate_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_duplicate_pipeline pipeline BertSentenceEmbeddings from julien-c
+author: John Snow Labs
+name: sent_bert_base_uncased_duplicate_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_duplicate_pipeline` is a English model originally trained by julien-c.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_duplicate_pipeline_en_5.5.0_3.0_1727105125107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_duplicate_pipeline_en_5.5.0_3.0_1727105125107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_duplicate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_duplicate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_duplicate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/julien-c/bert-base-uncased-duplicate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline_en.md
new file mode 100644
index 00000000000000..4282aa1a9a4dc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline pipeline BertSentenceEmbeddings from medhabi
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline` is a English model originally trained by medhabi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline_en_5.5.0_3.0_1727113952916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline_en_5.5.0_3.0_1727113952916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_imdb_medhabi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/medhabi/bert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower_en.md
new file mode 100644
index 00000000000000..56af94080fd2d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower
+date: 2024-09-23
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower_en_5.5.0_3.0_1727109868052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower_en_5.5.0_3.0_1727109868052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_2ep_lower|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-2ep-lower
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_issues_128_igory1999_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_issues_128_igory1999_en.md
new file mode 100644
index 00000000000000..ab1459e237d3a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_issues_128_igory1999_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_igory1999 BertSentenceEmbeddings from igory1999
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_igory1999
+date: 2024-09-23
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_igory1999` is a English model originally trained by igory1999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_igory1999_en_5.5.0_3.0_1727105301459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_igory1999_en_5.5.0_3.0_1727105301459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_igory1999|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/igory1999/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_issues_128_igory1999_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_issues_128_igory1999_pipeline_en.md
new file mode 100644
index 00000000000000..5659f4473bc823
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_uncased_issues_128_igory1999_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_igory1999_pipeline pipeline BertSentenceEmbeddings from igory1999
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_igory1999_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_igory1999_pipeline` is a English model originally trained by igory1999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_igory1999_pipeline_en_5.5.0_3.0_1727105321183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_igory1999_pipeline_en_5.5.0_3.0_1727105321183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_igory1999_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_igory1999_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_igory1999_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/igory1999/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline_en.md
new file mode 100644
index 00000000000000..bf18cb815abb3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline pipeline BertSentenceEmbeddings from jojoUla
+author: John Snow Labs
+name: sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline_en_5.5.0_3.0_1727113541166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline_en_5.5.0_3.0_1727113541166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-9
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_mini_domain_adapted_imdb_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_mini_domain_adapted_imdb_en.md
new file mode 100644
index 00000000000000..c6a865565b5521
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_mini_domain_adapted_imdb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_mini_domain_adapted_imdb BertSentenceEmbeddings from rasyosef
+author: John Snow Labs
+name: sent_bert_mini_domain_adapted_imdb
+date: 2024-09-23
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_mini_domain_adapted_imdb` is a English model originally trained by rasyosef.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_mini_domain_adapted_imdb_en_5.5.0_3.0_1727122774835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_mini_domain_adapted_imdb_en_5.5.0_3.0_1727122774835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_mini_domain_adapted_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/rasyosef/bert-mini-domain-adapted-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_uncased_l_10_h_512_a_8_cord19_200616_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_uncased_l_10_h_512_a_8_cord19_200616_en.md
new file mode 100644
index 00000000000000..aa24732c258a47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_uncased_l_10_h_512_a_8_cord19_200616_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_uncased_l_10_h_512_a_8_cord19_200616 BertSentenceEmbeddings from aodiniz
+author: John Snow Labs
+name: sent_bert_uncased_l_10_h_512_a_8_cord19_200616
+date: 2024-09-23
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_uncased_l_10_h_512_a_8_cord19_200616` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_uncased_l_10_h_512_a_8_cord19_200616_en_5.5.0_3.0_1727102076204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_uncased_l_10_h_512_a_8_cord19_200616_en_5.5.0_3.0_1727102076204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_uncased_l_10_h_512_a_8_cord19_200616|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|177.4 MB|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline_en.md
new file mode 100644
index 00000000000000..0073eb0aea6970
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline pipeline BertSentenceEmbeddings from aodiniz
+author: John Snow Labs
+name: sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline_en_5.5.0_3.0_1727102084641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline_en_5.5.0_3.0_1727102084641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_uncased_l_10_h_512_a_8_cord19_200616_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|178.0 MB|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bio_mobilebert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bio_mobilebert_pipeline_en.md
new file mode 100644
index 00000000000000..a89900a86d228b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bio_mobilebert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bio_mobilebert_pipeline pipeline BertSentenceEmbeddings from nlpie
+author: John Snow Labs
+name: sent_bio_mobilebert_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bio_mobilebert_pipeline` is a English model originally trained by nlpie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bio_mobilebert_pipeline_en_5.5.0_3.0_1727105334524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bio_mobilebert_pipeline_en_5.5.0_3.0_1727105334524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bio_mobilebert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bio_mobilebert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bio_mobilebert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|93.1 MB|
+
+## References
+
+https://huggingface.co/nlpie/bio-mobilebert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_dajobbert_base_uncased_da.md b/docs/_posts/ahmedlone127/2024-09-23-sent_dajobbert_base_uncased_da.md
new file mode 100644
index 00000000000000..2241cae753e33b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_dajobbert_base_uncased_da.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Danish sent_dajobbert_base_uncased BertSentenceEmbeddings from jjzha
+author: John Snow Labs
+name: sent_dajobbert_base_uncased
+date: 2024-09-23
+tags: [da, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: da
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_dajobbert_base_uncased` is a Danish model originally trained by jjzha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_dajobbert_base_uncased_da_5.5.0_3.0_1727109759877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_dajobbert_base_uncased_da_5.5.0_3.0_1727109759877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_dajobbert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|da|
+|Size:|411.3 MB|
+
+## References
+
+https://huggingface.co/jjzha/dajobbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_danish_legal_bert_base_pipeline_da.md b/docs/_posts/ahmedlone127/2024-09-23-sent_danish_legal_bert_base_pipeline_da.md
new file mode 100644
index 00000000000000..0b5dd7512b7477
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_danish_legal_bert_base_pipeline_da.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Danish sent_danish_legal_bert_base_pipeline pipeline BertSentenceEmbeddings from coastalcph
+author: John Snow Labs
+name: sent_danish_legal_bert_base_pipeline
+date: 2024-09-23
+tags: [da, open_source, pipeline, onnx]
+task: Embeddings
+language: da
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_danish_legal_bert_base_pipeline` is a Danish model originally trained by coastalcph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_danish_legal_bert_base_pipeline_da_5.5.0_3.0_1727123296342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_danish_legal_bert_base_pipeline_da_5.5.0_3.0_1727123296342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_danish_legal_bert_base_pipeline", lang = "da")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_danish_legal_bert_base_pipeline", lang = "da")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_danish_legal_bert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|da|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/coastalcph/danish-legal-bert-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_gujarati_bert_pipeline_gu.md b/docs/_posts/ahmedlone127/2024-09-23-sent_gujarati_bert_pipeline_gu.md
new file mode 100644
index 00000000000000..e0f1abd75a6c5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_gujarati_bert_pipeline_gu.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Gujarati sent_gujarati_bert_pipeline pipeline BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_gujarati_bert_pipeline
+date: 2024-09-23
+tags: [gu, open_source, pipeline, onnx]
+task: Embeddings
+language: gu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_gujarati_bert_pipeline` is a Gujarati model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_gujarati_bert_pipeline_gu_5.5.0_3.0_1727101781243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_gujarati_bert_pipeline_gu_5.5.0_3.0_1727101781243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_gujarati_bert_pipeline", lang = "gu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_gujarati_bert_pipeline", lang = "gu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_gujarati_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|gu|
+|Size:|891.0 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/gujarati-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_hindi_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_hindi_bert_pipeline_en.md
new file mode 100644
index 00000000000000..9363fb2b4b0b64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_hindi_bert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_hindi_bert_pipeline pipeline BertSentenceEmbeddings from sukritin
+author: John Snow Labs
+name: sent_hindi_bert_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_bert_pipeline` is a English model originally trained by sukritin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_bert_pipeline_en_5.5.0_3.0_1727110229750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_bert_pipeline_en_5.5.0_3.0_1727110229750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_hindi_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_hindi_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|609.8 MB|
+
+## References
+
+https://huggingface.co/sukritin/hindi-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_malay_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_malay_bert_pipeline_en.md
new file mode 100644
index 00000000000000..dcc9b4b67d8da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_malay_bert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_malay_bert_pipeline pipeline BertSentenceEmbeddings from NLP4H
+author: John Snow Labs
+name: sent_malay_bert_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_malay_bert_pipeline` is a English model originally trained by NLP4H.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_malay_bert_pipeline_en_5.5.0_3.0_1727101712886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_malay_bert_pipeline_en_5.5.0_3.0_1727101712886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_malay_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_malay_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_malay_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.8 MB|
+
+## References
+
+https://huggingface.co/NLP4H/ms_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en.md
new file mode 100644
index 00000000000000..5e302e980ffa19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline pipeline BertSentenceEmbeddings from gokuls
+author: John Snow Labs
+name: sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en_5.5.0_3.0_1727105593324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en_5.5.0_3.0_1727105593324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mobilebert_sanskrit_saskta_pre_training_complete_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|93.1 MB|
+
+## References
+
+https://huggingface.co/gokuls/mobilebert_sa_pre-training-complete
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline_en.md
new file mode 100644
index 00000000000000..6c8921cd40d16e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline pipeline BertSentenceEmbeddings from muhtasham
+author: John Snow Labs
+name: sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline_en_5.5.0_3.0_1727109905716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline_en_5.5.0_3.0_1727109905716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_small_mlm_rotten_tomatoes_custom_tokenizer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|107.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-rotten_tomatoes-custom-tokenizer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_test_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_test_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..49d33f07c3fb43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_test_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_test_bert_base_uncased_pipeline pipeline BertSentenceEmbeddings from kkkzzzkkk
+author: John Snow Labs
+name: sent_test_bert_base_uncased_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_test_bert_base_uncased_pipeline` is a English model originally trained by kkkzzzkkk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_test_bert_base_uncased_pipeline_en_5.5.0_3.0_1727123045148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_test_bert_base_uncased_pipeline_en_5.5.0_3.0_1727123045148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_test_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_test_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_test_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/kkkzzzkkk/test_bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sentiment_analysis_model_team_28_a01794830_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sentiment_analysis_model_team_28_a01794830_pipeline_en.md
new file mode 100644
index 00000000000000..8836a9e7f51053
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sentiment_analysis_model_team_28_a01794830_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_model_team_28_a01794830_pipeline pipeline DistilBertForSequenceClassification from a01794830
+author: John Snow Labs
+name: sentiment_analysis_model_team_28_a01794830_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_team_28_a01794830_pipeline` is a English model originally trained by a01794830.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_team_28_a01794830_pipeline_en_5.5.0_3.0_1727094156564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_team_28_a01794830_pipeline_en_5.5.0_3.0_1727094156564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_model_team_28_a01794830_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_model_team_28_a01794830_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_model_team_28_a01794830_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/a01794830/sentiment-analysis-model-team-28
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sentimentanalysis_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sentimentanalysis_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..181aea145ee75a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sentimentanalysis_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentimentanalysis_imdb_pipeline pipeline DistilBertForSequenceClassification from johnchangbviwit
+author: John Snow Labs
+name: sentimentanalysis_imdb_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentimentanalysis_imdb_pipeline` is a English model originally trained by johnchangbviwit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentimentanalysis_imdb_pipeline_en_5.5.0_3.0_1727059897505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentimentanalysis_imdb_pipeline_en_5.5.0_3.0_1727059897505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentimentanalysis_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentimentanalysis_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentimentanalysis_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/johnchangbviwit/sentimentanalysis-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sentiments_analysis_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-23-sentiments_analysis_roberta_en.md
new file mode 100644
index 00000000000000..abe88620dd813d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sentiments_analysis_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiments_analysis_roberta RoBertaForSequenceClassification from Junr-syl
+author: John Snow Labs
+name: sentiments_analysis_roberta
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiments_analysis_roberta` is a English model originally trained by Junr-syl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiments_analysis_roberta_en_5.5.0_3.0_1727086030953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiments_analysis_roberta_en_5.5.0_3.0_1727086030953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiments_analysis_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.9 MB|
+
+## References
+
+https://huggingface.co/Junr-syl/sentiments_analysis_Roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sentiments_analysis_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sentiments_analysis_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..ecadd18baf6512
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sentiments_analysis_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiments_analysis_roberta_pipeline pipeline RoBertaForSequenceClassification from Junr-syl
+author: John Snow Labs
+name: sentiments_analysis_roberta_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiments_analysis_roberta_pipeline` is a English model originally trained by Junr-syl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiments_analysis_roberta_pipeline_en_5.5.0_3.0_1727086055443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiments_analysis_roberta_pipeline_en_5.5.0_3.0_1727086055443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiments_analysis_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiments_analysis_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiments_analysis_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|439.0 MB|
+
+## References
+
+https://huggingface.co/Junr-syl/sentiments_analysis_Roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-social_media_sanskrit_saskta_finetuned_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-social_media_sanskrit_saskta_finetuned_2_pipeline_en.md
new file mode 100644
index 00000000000000..f78cbc2e5eb7bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-social_media_sanskrit_saskta_finetuned_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English social_media_sanskrit_saskta_finetuned_2_pipeline pipeline DistilBertForSequenceClassification from Kwaku
+author: John Snow Labs
+name: social_media_sanskrit_saskta_finetuned_2_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_media_sanskrit_saskta_finetuned_2_pipeline` is a English model originally trained by Kwaku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_media_sanskrit_saskta_finetuned_2_pipeline_en_5.5.0_3.0_1727093632102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_media_sanskrit_saskta_finetuned_2_pipeline_en_5.5.0_3.0_1727093632102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("social_media_sanskrit_saskta_finetuned_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("social_media_sanskrit_saskta_finetuned_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_media_sanskrit_saskta_finetuned_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kwaku/social_media_sa_finetuned_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sst2_padding90model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sst2_padding90model_pipeline_en.md
new file mode 100644
index 00000000000000..a897e27a9629d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sst2_padding90model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sst2_padding90model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst2_padding90model_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_padding90model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_padding90model_pipeline_en_5.5.0_3.0_1727082128279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_padding90model_pipeline_en_5.5.0_3.0_1727082128279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst2_padding90model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst2_padding90model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_padding90model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst2_padding90model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_en.md b/docs/_posts/ahmedlone127/2024-09-23-stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_en.md
new file mode 100644
index 00000000000000..1681e4a2f6a361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_en_5.5.0_3.0_1727110649602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_en_5.5.0_3.0_1727110649602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-10-2024-07-26_16-19-31
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline_en.md
new file mode 100644
index 00000000000000..cb8e9b3923543b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline_en_5.5.0_3.0_1727110661338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline_en_5.5.0_3.0_1727110661338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_10_2024_07_26_16_19_31_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-10-2024-07-26_16-19-31
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-tamilroberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-tamilroberta_pipeline_en.md
new file mode 100644
index 00000000000000..4017d593552e7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-tamilroberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tamilroberta_pipeline pipeline RoBertaEmbeddings from apkbala107
+author: John Snow Labs
+name: tamilroberta_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tamilroberta_pipeline` is a English model originally trained by apkbala107.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tamilroberta_pipeline_en_5.5.0_3.0_1727121723689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tamilroberta_pipeline_en_5.5.0_3.0_1727121723689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tamilroberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tamilroberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tamilroberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.2 MB|
+
+## References
+
+https://huggingface.co/apkbala107/tamilroberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-test1_sss2000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-test1_sss2000_pipeline_en.md
new file mode 100644
index 00000000000000..67755238346eb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-test1_sss2000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test1_sss2000_pipeline pipeline DistilBertForSequenceClassification from sss2000
+author: John Snow Labs
+name: test1_sss2000_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test1_sss2000_pipeline` is a English model originally trained by sss2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test1_sss2000_pipeline_en_5.5.0_3.0_1727059360280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test1_sss2000_pipeline_en_5.5.0_3.0_1727059360280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test1_sss2000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test1_sss2000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test1_sss2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sss2000/test1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-test_trainerb2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-test_trainerb2_pipeline_en.md
new file mode 100644
index 00000000000000..b49bbdffffb4d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-test_trainerb2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainerb2_pipeline pipeline DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: test_trainerb2_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainerb2_pipeline` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainerb2_pipeline_en_5.5.0_3.0_1727110753420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainerb2_pipeline_en_5.5.0_3.0_1727110753420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainerb2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainerb2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainerb2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/test_trainerb2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-testing_model_jim33282007_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-testing_model_jim33282007_pipeline_en.md
new file mode 100644
index 00000000000000..a54067796383eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-testing_model_jim33282007_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testing_model_jim33282007_pipeline pipeline DistilBertForSequenceClassification from jim33282007
+author: John Snow Labs
+name: testing_model_jim33282007_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_model_jim33282007_pipeline` is a English model originally trained by jim33282007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_model_jim33282007_pipeline_en_5.5.0_3.0_1727082128409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_model_jim33282007_pipeline_en_5.5.0_3.0_1727082128409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testing_model_jim33282007_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testing_model_jim33282007_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_model_jim33282007_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jim33282007/testing_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-trialz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-trialz_pipeline_en.md
new file mode 100644
index 00000000000000..5604bdb16840b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-trialz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trialz_pipeline pipeline RoBertaEmbeddings from JoAmps
+author: John Snow Labs
+name: trialz_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trialz_pipeline` is a English model originally trained by JoAmps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trialz_pipeline_en_5.5.0_3.0_1727056728080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trialz_pipeline_en_5.5.0_3.0_1727056728080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trialz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trialz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trialz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/JoAmps/trialz
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-twitterfin_padding90model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-twitterfin_padding90model_pipeline_en.md
new file mode 100644
index 00000000000000..1e6e42ace673b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-twitterfin_padding90model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitterfin_padding90model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: twitterfin_padding90model_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitterfin_padding90model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitterfin_padding90model_pipeline_en_5.5.0_3.0_1727074153808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitterfin_padding90model_pipeline_en_5.5.0_3.0_1727074153808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitterfin_padding90model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitterfin_padding90model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitterfin_padding90model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/twitterfin_padding90model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-whisper_base_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-whisper_base_v3_pipeline_en.md
new file mode 100644
index 00000000000000..ef3dc8544a050e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-whisper_base_v3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_v3_pipeline pipeline WhisperForCTC from raiyan007
+author: John Snow Labs
+name: whisper_base_v3_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_v3_pipeline` is a English model originally trained by raiyan007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_v3_pipeline_en_5.5.0_3.0_1727118005617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_v3_pipeline_en_5.5.0_3.0_1727118005617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.8 MB|
+
+## References
+
+https://huggingface.co/raiyan007/whisper-base-v3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-whisper_small_child50k_timestretch_steplr_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_child50k_timestretch_steplr_pipeline_ko.md
new file mode 100644
index 00000000000000..be11e88b09da41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_child50k_timestretch_steplr_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean whisper_small_child50k_timestretch_steplr_pipeline pipeline WhisperForCTC from haseong8012
+author: John Snow Labs
+name: whisper_small_child50k_timestretch_steplr_pipeline
+date: 2024-09-23
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_child50k_timestretch_steplr_pipeline` is a Korean model originally trained by haseong8012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_child50k_timestretch_steplr_pipeline_ko_5.5.0_3.0_1727052228583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_child50k_timestretch_steplr_pipeline_ko_5.5.0_3.0_1727052228583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_child50k_timestretch_steplr_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_child50k_timestretch_steplr_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_child50k_timestretch_steplr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/haseong8012/whisper-small_child50K_timestretch_stepLR
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-whisper_small_dutch_vl_pipeline_nl.md b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_dutch_vl_pipeline_nl.md
new file mode 100644
index 00000000000000..9d1672966168e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_dutch_vl_pipeline_nl.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Dutch, Flemish whisper_small_dutch_vl_pipeline pipeline WhisperForCTC from fibleep
+author: John Snow Labs
+name: whisper_small_dutch_vl_pipeline
+date: 2024-09-23
+tags: [nl, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: nl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_dutch_vl_pipeline` is a Dutch, Flemish model originally trained by fibleep.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_dutch_vl_pipeline_nl_5.5.0_3.0_1727116471808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_dutch_vl_pipeline_nl_5.5.0_3.0_1727116471808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_dutch_vl_pipeline", lang = "nl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_dutch_vl_pipeline", lang = "nl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_dutch_vl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|nl|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/fibleep/whisper-small-nl-vl
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-whisper_small_kdn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_kdn_pipeline_en.md
new file mode 100644
index 00000000000000..4726c6b3b1455d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_kdn_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_kdn_pipeline pipeline WhisperForCTC from susmitabhatt
+author: John Snow Labs
+name: whisper_small_kdn_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_kdn_pipeline` is a English model originally trained by susmitabhatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_kdn_pipeline_en_5.5.0_3.0_1727052472835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_kdn_pipeline_en_5.5.0_3.0_1727052472835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_kdn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_kdn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_kdn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/susmitabhatt/whisper-small-kdn
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline_sq.md b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline_sq.md
new file mode 100644
index 00000000000000..c44397e357b172
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline_sq.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Albanian whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline pipeline WhisperForCTC from rishabhjain16
+author: John Snow Labs
+name: whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline
+date: 2024-09-23
+tags: [sq, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: sq
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline` is a Albanian model originally trained by rishabhjain16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline_sq_5.5.0_3.0_1727117970737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline_sq_5.5.0_3.0_1727117970737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline", lang = "sq")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline", lang = "sq")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_tonga_tonga_islands_chuvash_albanian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sq|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/rishabhjain16/whisper-small_to_cv_albanian
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-whisper_tiny_minds14_english_us_b_koopman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-whisper_tiny_minds14_english_us_b_koopman_pipeline_en.md
new file mode 100644
index 00000000000000..0923de373427e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-whisper_tiny_minds14_english_us_b_koopman_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_us_b_koopman_pipeline pipeline WhisperForCTC from b-koopman
+author: John Snow Labs
+name: whisper_tiny_minds14_english_us_b_koopman_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_us_b_koopman_pipeline` is a English model originally trained by b-koopman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_b_koopman_pipeline_en_5.5.0_3.0_1727051433077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_b_koopman_pipeline_en_5.5.0_3.0_1727051433077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_english_us_b_koopman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_english_us_b_koopman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_us_b_koopman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/b-koopman/whisper-tiny-minds14-en-US
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11_en.md b/docs/_posts/ahmedlone127/2024-09-23-whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11_en.md
new file mode 100644
index 00000000000000..ee46a06127f2ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11 WhisperForCTC from sgonzalezsilot
+author: John Snow Labs
+name: whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11
+date: 2024-09-23
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11` is a English model originally trained by sgonzalezsilot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11_en_5.5.0_3.0_1727117371147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11_en_5.5.0_3.0_1727117371147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_spanish_spanish_nemo_unified_2024_06_26_09_12_11|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.6 MB|
+
+## References
+
+https://huggingface.co/sgonzalezsilot/whisper-tiny-spanish-es-Nemo_unified_2024-06-26_09-12-11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-withinapps_ndd_mantisbt_test_tags_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-withinapps_ndd_mantisbt_test_tags_pipeline_en.md
new file mode 100644
index 00000000000000..a617f9422d18b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-withinapps_ndd_mantisbt_test_tags_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_mantisbt_test_tags_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_mantisbt_test_tags_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_mantisbt_test_tags_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mantisbt_test_tags_pipeline_en_5.5.0_3.0_1727108302988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mantisbt_test_tags_pipeline_en_5.5.0_3.0_1727108302988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_mantisbt_test_tags_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_mantisbt_test_tags_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_mantisbt_test_tags_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-mantisbt_test-tags
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_english_sentweet_targeted_insult_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_english_sentweet_targeted_insult_en.md
new file mode 100644
index 00000000000000..50b80e4fb07be0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_english_sentweet_targeted_insult_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_english_sentweet_targeted_insult XlmRoBertaForSequenceClassification from jayanta
+author: John Snow Labs
+name: xlm_roberta_base_english_sentweet_targeted_insult
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_english_sentweet_targeted_insult` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_targeted_insult_en_5.5.0_3.0_1727089332791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_targeted_insult_en_5.5.0_3.0_1727089332791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_english_sentweet_targeted_insult|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|785.8 MB|
+
+## References
+
+https://huggingface.co/jayanta/xlm-roberta-base-english-sentweet-targeted-insult
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_english_sentweet_targeted_insult_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_english_sentweet_targeted_insult_pipeline_en.md
new file mode 100644
index 00000000000000..53615b5f53a68e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_english_sentweet_targeted_insult_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_english_sentweet_targeted_insult_pipeline pipeline XlmRoBertaForSequenceClassification from jayanta
+author: John Snow Labs
+name: xlm_roberta_base_english_sentweet_targeted_insult_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_english_sentweet_targeted_insult_pipeline` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_targeted_insult_pipeline_en_5.5.0_3.0_1727089470422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_targeted_insult_pipeline_en_5.5.0_3.0_1727089470422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_english_sentweet_targeted_insult_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_english_sentweet_targeted_insult_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_english_sentweet_targeted_insult_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|785.8 MB|
+
+## References
+
+https://huggingface.co/jayanta/xlm-roberta-base-english-sentweet-targeted-insult
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_final_mixed_train_1_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_final_mixed_train_1_en.md
new file mode 100644
index 00000000000000..ddba5e8ae4b112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_final_mixed_train_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_train_1 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_train_1
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_train_1` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_train_1_en_5.5.0_3.0_1727126747007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_train_1_en_5.5.0_3.0_1727126747007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_train_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.0 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-train-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_all_ligerre_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_all_ligerre_en.md
new file mode 100644
index 00000000000000..cae8867c22f489
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_all_ligerre_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_ligerre XlmRoBertaForTokenClassification from ligerre
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_ligerre
+date: 2024-09-23
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_ligerre` is a English model originally trained by ligerre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_ligerre_en_5.5.0_3.0_1727062079218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_ligerre_en_5.5.0_3.0_1727062079218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_ligerre|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/ligerre/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_french_esperesa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_french_esperesa_pipeline_en.md
new file mode 100644
index 00000000000000..892eb990fc9dcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_french_esperesa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_esperesa_pipeline pipeline XlmRoBertaForTokenClassification from esperesa
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_esperesa_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_esperesa_pipeline` is a English model originally trained by esperesa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_esperesa_pipeline_en_5.5.0_3.0_1727132152169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_esperesa_pipeline_en_5.5.0_3.0_1727132152169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_esperesa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_esperesa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_esperesa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|831.2 MB|
+
+## References
+
+https://huggingface.co/esperesa/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline_en.md
new file mode 100644
index 00000000000000..42300f7a29d902
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline pipeline XlmRoBertaForTokenClassification from misterneil
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline` is a English model originally trained by misterneil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline_en_5.5.0_3.0_1727133242943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline_en_5.5.0_3.0_1727133242943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_misterneil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/misterneil/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline_en.md
new file mode 100644
index 00000000000000..842b11eeed404f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline pipeline XlmRoBertaForTokenClassification from thucdangvan020999
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline` is a English model originally trained by thucdangvan020999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline_en_5.5.0_3.0_1727132751090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline_en_5.5.0_3.0_1727132751090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_thucdangvan020999_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/thucdangvan020999/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline_en.md
new file mode 100644
index 00000000000000..c27e8e7562f8b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline_en_5.5.0_3.0_1727099948457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline_en_5.5.0_3.0_1727099948457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_italian_tweet_sentiment_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|457.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-it-tweet-sentiment-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_xnli_spanish_trimmed_spanish_10000_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_xnli_spanish_trimmed_spanish_10000_en.md
new file mode 100644
index 00000000000000..9382428145254a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_xnli_spanish_trimmed_spanish_10000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_spanish_trimmed_spanish_10000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_spanish_trimmed_spanish_10000
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_spanish_trimmed_spanish_10000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_spanish_trimmed_spanish_10000_en_5.5.0_3.0_1727089318019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_spanish_trimmed_spanish_10000_en_5.5.0_3.0_1727089318019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_spanish_trimmed_spanish_10000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|353.6 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-es-trimmed-es-10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-0_0000005_0_999_rose_e_wang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-0_0000005_0_999_rose_e_wang_pipeline_en.md
new file mode 100644
index 00000000000000..4824866730192c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-0_0000005_0_999_rose_e_wang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 0_0000005_0_999_rose_e_wang_pipeline pipeline RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: 0_0000005_0_999_rose_e_wang_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`0_0000005_0_999_rose_e_wang_pipeline` is a English model originally trained by rose-e-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/0_0000005_0_999_rose_e_wang_pipeline_en_5.5.0_3.0_1727171846773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/0_0000005_0_999_rose_e_wang_pipeline_en_5.5.0_3.0_1727171846773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("0_0000005_0_999_rose_e_wang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("0_0000005_0_999_rose_e_wang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|0_0000005_0_999_rose_e_wang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/rose-e-wang/0.0000005_0.999
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-2020_q4_50p_filtered_random_prog_from_q3_en.md b/docs/_posts/ahmedlone127/2024-09-24-2020_q4_50p_filtered_random_prog_from_q3_en.md
new file mode 100644
index 00000000000000..5400fc166749a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-2020_q4_50p_filtered_random_prog_from_q3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q4_50p_filtered_random_prog_from_q3 RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_50p_filtered_random_prog_from_q3
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_50p_filtered_random_prog_from_q3` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_random_prog_from_q3_en_5.5.0_3.0_1727168989425.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_random_prog_from_q3_en_5.5.0_3.0_1727168989425.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_50p_filtered_random_prog_from_q3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-50p-filtered-random-prog_from_Q3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-2020_q4_50p_filtered_random_prog_from_q3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-2020_q4_50p_filtered_random_prog_from_q3_pipeline_en.md
new file mode 100644
index 00000000000000..5b20b93f1bbd08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-2020_q4_50p_filtered_random_prog_from_q3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q4_50p_filtered_random_prog_from_q3_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_50p_filtered_random_prog_from_q3_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_50p_filtered_random_prog_from_q3_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_random_prog_from_q3_pipeline_en_5.5.0_3.0_1727169013666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_random_prog_from_q3_pipeline_en_5.5.0_3.0_1727169013666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q4_50p_filtered_random_prog_from_q3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q4_50p_filtered_random_prog_from_q3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_50p_filtered_random_prog_from_q3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-50p-filtered-random-prog_from_Q3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-afro_xlmr_base_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-24-afro_xlmr_base_pipeline_xx.md
new file mode 100644
index 00000000000000..32f732b7fb4b78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-afro_xlmr_base_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual afro_xlmr_base_pipeline pipeline XlmRoBertaEmbeddings from Davlan
+author: John Snow Labs
+name: afro_xlmr_base_pipeline
+date: 2024-09-24
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afro_xlmr_base_pipeline` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_pipeline_xx_5.5.0_3.0_1727209726819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_pipeline_xx_5.5.0_3.0_1727209726819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afro_xlmr_base_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afro_xlmr_base_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afro_xlmr_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Davlan/afro-xlmr-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-afro_xlmr_base_xx.md b/docs/_posts/ahmedlone127/2024-09-24-afro_xlmr_base_xx.md
new file mode 100644
index 00000000000000..d9d92e0e59322c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-afro_xlmr_base_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual afro_xlmr_base XlmRoBertaEmbeddings from Davlan
+author: John Snow Labs
+name: afro_xlmr_base
+date: 2024-09-24
+tags: [xx, open_source, onnx, embeddings, xlm_roberta]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afro_xlmr_base` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_xx_5.5.0_3.0_1727209666721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_xx_5.5.0_3.0_1727209666721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_japanese_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[albert]|
+|Language:|ja|
+|Size:|42.8 MB|
+
+## References
+
+https://huggingface.co/ken11/albert-base-japanese-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_base_japanese_v1_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-24-albert_base_japanese_v1_pipeline_ja.md
new file mode 100644
index 00000000000000..a7936abbc8b2d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_base_japanese_v1_pipeline_ja.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Japanese albert_base_japanese_v1_pipeline pipeline AlbertEmbeddings from ken11
+author: John Snow Labs
+name: albert_base_japanese_v1_pipeline
+date: 2024-09-24
+tags: [ja, open_source, pipeline, onnx]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_japanese_v1_pipeline` is a Japanese model originally trained by ken11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_japanese_v1_pipeline_ja_5.5.0_3.0_1727220086439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_japanese_v1_pipeline_ja_5.5.0_3.0_1727220086439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_japanese_v1_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_japanese_v1_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_japanese_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|42.8 MB|
+
+## References
+
+https://huggingface.co/ken11/albert-base-japanese-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_japanese_en.md b/docs/_posts/ahmedlone127/2024-09-24-albert_japanese_en.md
new file mode 100644
index 00000000000000..b422d66c7930b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_japanese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_japanese AlbertEmbeddings from ALINEAR
+author: John Snow Labs
+name: albert_japanese
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, albert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_japanese` is a English model originally trained by ALINEAR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_japanese_en_5.5.0_3.0_1727220080203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_japanese_en_5.5.0_3.0_1727220080203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_japanese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[albert]|
+|Language:|en|
+|Size:|42.9 MB|
+
+## References
+
+https://huggingface.co/ALINEAR/albert-japanese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_japanese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-albert_japanese_pipeline_en.md
new file mode 100644
index 00000000000000..3c45a989de2aab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_japanese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_japanese_pipeline pipeline AlbertEmbeddings from ALINEAR
+author: John Snow Labs
+name: albert_japanese_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_japanese_pipeline` is a English model originally trained by ALINEAR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_japanese_pipeline_en_5.5.0_3.0_1727220082589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_japanese_pipeline_en_5.5.0_3.0_1727220082589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_japanese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_japanese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_japanese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.9 MB|
+
+## References
+
+https://huggingface.co/ALINEAR/albert-japanese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_news_classification_tw.md b/docs/_posts/ahmedlone127/2024-09-24-albert_news_classification_tw.md
new file mode 100644
index 00000000000000..208cbbee2ead41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_news_classification_tw.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Twi albert_news_classification BertForSequenceClassification from clhuang
+author: John Snow Labs
+name: albert_news_classification
+date: 2024-09-24
+tags: [tw, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: tw
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_news_classification` is a Twi model originally trained by clhuang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_news_classification_tw_5.5.0_3.0_1727213606690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_news_classification_tw_5.5.0_3.0_1727213606690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_news_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tw|
+|Size:|39.8 MB|
+
+## References
+
+https://huggingface.co/clhuang/albert-news-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_punctuation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-albert_punctuation_pipeline_en.md
new file mode 100644
index 00000000000000..5b8573b26c98b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_punctuation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_punctuation_pipeline pipeline BertForTokenClassification from Wikidepia
+author: John Snow Labs
+name: albert_punctuation_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_punctuation_pipeline` is a English model originally trained by Wikidepia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_punctuation_pipeline_en_5.5.0_3.0_1727203077794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_punctuation_pipeline_en_5.5.0_3.0_1727203077794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_punctuation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_punctuation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_punctuation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.0 MB|
+
+## References
+
+https://huggingface.co/Wikidepia/albert-punctuation
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_small_kor_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-albert_small_kor_v1_pipeline_en.md
new file mode 100644
index 00000000000000..4f14f1098269d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_small_kor_v1_pipeline_en.md
@@ -0,0 +1,72 @@
+---
+layout: model
+title: English albert_small_kor_v1_pipeline pipeline AlbertEmbeddings from bongsoo
+author: John Snow Labs
+name: albert_small_kor_v1_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_small_kor_v1_pipeline` is a English model originally trained by bongsoo.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_small_kor_v1_pipeline_en_5.5.0_3.0_1727158727845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_small_kor_v1_pipeline_en_5.5.0_3.0_1727158727845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+pipeline = PretrainedPipeline("albert_small_kor_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+```
+```scala
+val pipeline = new PretrainedPipeline("albert_small_kor_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_small_kor_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|41.7 MB|
+
+## References
+
+References
+
+https://huggingface.co/bongsoo/albert-small-kor-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-answer_equivalence_bert_en.md b/docs/_posts/ahmedlone127/2024-09-24-answer_equivalence_bert_en.md
new file mode 100644
index 00000000000000..1e4489af0453f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-answer_equivalence_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English answer_equivalence_bert BertForSequenceClassification from zli12321
+author: John Snow Labs
+name: answer_equivalence_bert
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`answer_equivalence_bert` is a English model originally trained by zli12321.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/answer_equivalence_bert_en_5.5.0_3.0_1727219409393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/answer_equivalence_bert_en_5.5.0_3.0_1727219409393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|answer_equivalence_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zli12321/answer_equivalence_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_ads_classification_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_ads_classification_en.md
new file mode 100644
index 00000000000000..5bd40d8c6066d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_ads_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_ads_classification BertForSequenceClassification from bondarchukb
+author: John Snow Labs
+name: bert_ads_classification
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ads_classification` is a English model originally trained by bondarchukb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ads_classification_en_5.5.0_3.0_1727213686943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ads_classification_en_5.5.0_3.0_1727213686943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ads_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/bondarchukb/bert-ads-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_ads_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_ads_classification_pipeline_en.md
new file mode 100644
index 00000000000000..f27dcd29b13863
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_ads_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_ads_classification_pipeline pipeline BertForSequenceClassification from bondarchukb
+author: John Snow Labs
+name: bert_ads_classification_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ads_classification_pipeline` is a English model originally trained by bondarchukb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ads_classification_pipeline_en_5.5.0_3.0_1727213707589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ads_classification_pipeline_en_5.5.0_3.0_1727213707589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_ads_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_ads_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ads_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/bondarchukb/bert-ads-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_en.md
new file mode 100644
index 00000000000000..9bbb1a20c70807
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_arabic_camelbert_catalan_99189_pretrain_resampled BertForQuestionAnswering from MatMulMan
+author: John Snow Labs
+name: bert_base_arabic_camelbert_catalan_99189_pretrain_resampled
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_arabic_camelbert_catalan_99189_pretrain_resampled` is a English model originally trained by MatMulMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_en_5.5.0_3.0_1727206805653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_en_5.5.0_3.0_1727206805653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabic_camelbert_catalan_99189_pretrain_resampled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/MatMulMan/bert-base-arabic-camelbert-ca-99189-pretrain_resampled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline_en.md
new file mode 100644
index 00000000000000..b1223ff71a0ad7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline pipeline BertForQuestionAnswering from MatMulMan
+author: John Snow Labs
+name: bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline` is a English model originally trained by MatMulMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline_en_5.5.0_3.0_1727206827761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline_en_5.5.0_3.0_1727206827761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabic_camelbert_catalan_99189_pretrain_resampled_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/MatMulMan/bert-base-arabic-camelbert-ca-99189-pretrain_resampled
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_finetuned_stsb_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_finetuned_stsb_en.md
new file mode 100644
index 00000000000000..22b4775abcee67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_finetuned_stsb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_stsb BertForSequenceClassification from gchhablani
+author: John Snow Labs
+name: bert_base_cased_finetuned_stsb
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_stsb` is a English model originally trained by gchhablani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_stsb_en_5.5.0_3.0_1727218707497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_stsb_en_5.5.0_3.0_1727218707497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_stsb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/gchhablani/bert-base-cased-finetuned-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_finetuned_stsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_finetuned_stsb_pipeline_en.md
new file mode 100644
index 00000000000000..e559e53ad59c15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_finetuned_stsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_stsb_pipeline pipeline BertForSequenceClassification from gchhablani
+author: John Snow Labs
+name: bert_base_cased_finetuned_stsb_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_stsb_pipeline` is a English model originally trained by gchhablani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_stsb_pipeline_en_5.5.0_3.0_1727218728753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_stsb_pipeline_en_5.5.0_3.0_1727218728753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_finetuned_stsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_stsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_stsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/gchhablani/bert-base-cased-finetuned-stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_jennyc_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_jennyc_en.md
new file mode 100644
index 00000000000000..e0f3dfd4812526
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_jennyc_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_cased_jennyc BertForQuestionAnswering from jennyc
+author: John Snow Labs
+name: bert_base_cased_jennyc
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_jennyc` is a English model originally trained by jennyc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_jennyc_en_5.5.0_3.0_1727175887390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_jennyc_en_5.5.0_3.0_1727175887390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_jennyc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/jennyc/bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_scmedium_scqa2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_scmedium_scqa2_pipeline_en.md
new file mode 100644
index 00000000000000..3dedc015585163
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_cased_scmedium_scqa2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_cased_scmedium_scqa2_pipeline pipeline BertForQuestionAnswering from CambridgeMolecularEngineering
+author: John Snow Labs
+name: bert_base_cased_scmedium_scqa2_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_scmedium_scqa2_pipeline` is a English model originally trained by CambridgeMolecularEngineering.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_scmedium_scqa2_pipeline_en_5.5.0_3.0_1727175369752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_scmedium_scqa2_pipeline_en_5.5.0_3.0_1727175369752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_scmedium_scqa2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_scmedium_scqa2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_scmedium_scqa2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/CambridgeMolecularEngineering/bert-base-cased-scmedium-scqa2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_4_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_4_en.md
new file mode 100644
index 00000000000000..96503d1d0fe3e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_4_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_question_answering_4 BertForQuestionAnswering from jazzson
+author: John Snow Labs
+name: bert_base_chinese_finetuned_question_answering_4
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_question_answering_4` is a English model originally trained by jazzson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_question_answering_4_en_5.5.0_3.0_1727217040537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_question_answering_4_en_5.5.0_3.0_1727217040537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_question_answering_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/jazzson/bert-base-chinese-finetuned-question-answering-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_4_pipeline_en.md
new file mode 100644
index 00000000000000..914b7a745201a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_question_answering_4_pipeline pipeline BertForQuestionAnswering from jazzson
+author: John Snow Labs
+name: bert_base_chinese_finetuned_question_answering_4_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_question_answering_4_pipeline` is a English model originally trained by jazzson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_question_answering_4_pipeline_en_5.5.0_3.0_1727217060142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_question_answering_4_pipeline_en_5.5.0_3.0_1727217060142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_finetuned_question_answering_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_finetuned_question_answering_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_question_answering_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/jazzson/bert-base-chinese-finetuned-question-answering-4
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_6_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_6_en.md
new file mode 100644
index 00000000000000..8fdbc4ebdbd95c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_chinese_finetuned_question_answering_6_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_question_answering_6 BertForQuestionAnswering from jazzson
+author: John Snow Labs
+name: bert_base_chinese_finetuned_question_answering_6
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_question_answering_6` is a English model originally trained by jazzson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_question_answering_6_en_5.5.0_3.0_1727216906697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_question_answering_6_en_5.5.0_3.0_1727216906697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_greek_modern_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-el-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_english_greek_modern_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_english_greek_modern_cased_pipeline_en.md
new file mode 100644
index 00000000000000..531b76490a8e47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_english_greek_modern_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_english_greek_modern_cased_pipeline pipeline BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_greek_modern_cased_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_english_greek_modern_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_greek_modern_cased_pipeline_en_5.5.0_3.0_1727162061121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_greek_modern_cased_pipeline_en_5.5.0_3.0_1727162061121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_english_greek_modern_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_english_greek_modern_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_greek_modern_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-el-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_multilingual_cased_based_encoder_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_multilingual_cased_based_encoder_pipeline_xx.md
new file mode 100644
index 00000000000000..66843946d3f942
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_multilingual_cased_based_encoder_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_based_encoder_pipeline pipeline BertEmbeddings from shsha0110
+author: John Snow Labs
+name: bert_base_multilingual_cased_based_encoder_pipeline
+date: 2024-09-24
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_cased_based_encoder_pipeline` is a Multilingual model originally trained by shsha0110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_based_encoder_pipeline_xx_5.5.0_3.0_1727200645774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_based_encoder_pipeline_xx_5.5.0_3.0_1727200645774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_multilingual_cased_based_encoder_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_multilingual_cased_based_encoder_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_based_encoder_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|664.9 MB|
+
+## References
+
+https://huggingface.co/shsha0110/bert-base-multilingual-cased-based-encoder
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_multilingual_cased_based_encoder_xx.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_multilingual_cased_based_encoder_xx.md
new file mode 100644
index 00000000000000..70723b56381235
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_multilingual_cased_based_encoder_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_based_encoder BertEmbeddings from shsha0110
+author: John Snow Labs
+name: bert_base_multilingual_cased_based_encoder
+date: 2024-09-24
+tags: [xx, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_cased_based_encoder` is a Multilingual model originally trained by shsha0110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_based_encoder_xx_5.5.0_3.0_1727200610130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_based_encoder_xx_5.5.0_3.0_1727200610130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_based_encoder|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|xx|
+|Size:|664.9 MB|
+
+## References
+
+https://huggingface.co/shsha0110/bert-base-multilingual-cased-based-encoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_paws_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_paws_en.md
new file mode 100644
index 00000000000000..16a482083b41d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_paws_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_paws BertForSequenceClassification from harouzie
+author: John Snow Labs
+name: bert_base_paws
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_paws` is a English model originally trained by harouzie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_paws_en_5.5.0_3.0_1727218976635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_paws_en_5.5.0_3.0_1727218976635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240914224146
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline_en.md
new file mode 100644
index 00000000000000..b5b6b44ea335e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline_en_5.5.0_3.0_1727216940946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline_en_5.5.0_3.0_1727216940946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240914224146_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240914224146
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_emotion_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_emotion_en.md
new file mode 100644
index 00000000000000..590d0e7c8f9723
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_emotion_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_emotion DistilBertForSequenceClassification from isom5240sp24
+author: John Snow Labs
+name: bert_base_uncased_emotion
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotion` is a English model originally trained by isom5240sp24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_en_5.5.0_3.0_1727205014862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_en_5.5.0_3.0_1727205014862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.0-b-32-lr-8e-07-dp-0.5-ss-0-st-True-fh-False-hs-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
new file mode 100644
index 00000000000000..078bd909b5058c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1727175521932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1727175521932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.0-b-32-lr-8e-07-dp-0.5-ss-0-st-True-fh-False-hs-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_en.md
new file mode 100644
index 00000000000000..5cc6dd6f85dc90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_en_5.5.0_3.0_1727176070330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_en_5.5.0_3.0_1727176070330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.45-b-32-lr-4e-06-dp-0.1-ss-300-st-False-fh-True-hs-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline_en.md
new file mode 100644
index 00000000000000..b997466c26921e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline_en_5.5.0_3.0_1727176091440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline_en_5.5.0_3.0_1727176091440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_45_b_32_lr_4e_06_dp_0_1_swati_300_southern_sotho_false_fh_true_hs_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.45-b-32-lr-4e-06-dp-0.1-ss-300-st-False-fh-True-hs-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
new file mode 100644
index 00000000000000..5ed2fe4095072d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1727175918804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1727175918804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_3_11_b_32_lr_8e_07_dp_0_5_swati_700_southern_sotho_false_fh_true_hs_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-3.11-b-32-lr-8e-07-dp-0.5-ss-700-st-False-fh-True-hs-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en.md
new file mode 100644
index 00000000000000..ab2c99f6807bc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en_5.5.0_3.0_1727163220743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en_5.5.0_3.0_1727163220743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_3_44_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_800_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-3.44-b-32-lr-8e-07-dp-0.5-ss-0-st-False-fh-False-hs-800
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
new file mode 100644
index 00000000000000..35e46589b89d3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1727163813410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_4_87_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1727163813410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline_en.md
new file mode 100644
index 00000000000000..124f8c6705c672
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline pipeline BertForQuestionAnswering from anas-awadalla
+author: John Snow Labs
+name: bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline` is a English model originally trained by anas-awadalla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline_en_5.5.0_3.0_1727206753795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline_en_5.5.0_3.0_1727206753795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_few_shot_k_64_finetuned_squad_seed_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-6
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline_en.md
new file mode 100644
index 00000000000000..3aa865f5649e2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline_en_5.5.0_3.0_1727175665424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline_en_5.5.0_3.0_1727175665424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_0_9_lr_1e_06_wd_0_001_dp_0_99999_swati_160000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-0.9-lr-1e-06-wd-0.001-dp-0.99999-ss-160000
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline_en.md
new file mode 100644
index 00000000000000..a4dc4a1bd3b4e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline_en_5.5.0_3.0_1727176210563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline_en_5.5.0_3.0_1727176210563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_99999_swati_50000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-1e-06-wd-0.001-dp-0.99999-ss-50000
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline_en.md
new file mode 100644
index 00000000000000..4c90981886ae6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline_en_5.5.0_3.0_1727175524689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline_en_5.5.0_3.0_1727175524689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-4e-06-wd-0.01-dp-0.2-ss-0-st-True-fh-True
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800_en.md
new file mode 100644
index 00000000000000..23778f1c4acec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800_en_5.5.0_3.0_1727175546565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_800_en_5.5.0_3.0_1727175546565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_imdb_shushuile|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_imdb_shushuile_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_imdb_shushuile_pipeline_en.md
new file mode 100644
index 00000000000000..02390c6e10d145
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_imdb_shushuile_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_imdb_shushuile_pipeline pipeline BertEmbeddings from shushuile
+author: John Snow Labs
+name: bert_base_uncased_finetuned_imdb_shushuile_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_imdb_shushuile_pipeline` is a English model originally trained by shushuile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_imdb_shushuile_pipeline_en_5.5.0_3.0_1727201208409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_imdb_shushuile_pipeline_en_5.5.0_3.0_1727201208409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_imdb_shushuile_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_imdb_shushuile_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_imdb_shushuile_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_news_2009_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_news_2009_pipeline_en.md
new file mode 100644
index 00000000000000..ce1d46add590f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_news_2009_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_news_2009_pipeline pipeline BertEmbeddings from sally9805
+author: John Snow Labs
+name: bert_base_uncased_finetuned_news_2009_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_news_2009_pipeline` is a English model originally trained by sally9805.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_2009_pipeline_en_5.5.0_3.0_1727177514131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_2009_pipeline_en_5.5.0_3.0_1727177514131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_news_2009_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_news_2009_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_news_2009_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sally9805/bert-base-uncased-finetuned-news-2009
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_quac_nohistory_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_quac_nohistory_pipeline_en.md
new file mode 100644
index 00000000000000..48f8242af6f720
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_quac_nohistory_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_quac_nohistory_pipeline pipeline BertForQuestionAnswering from Jellevdl
+author: John Snow Labs
+name: bert_base_uncased_finetuned_quac_nohistory_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_quac_nohistory_pipeline` is a English model originally trained by Jellevdl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_quac_nohistory_pipeline_en_5.5.0_3.0_1727163689623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_quac_nohistory_pipeline_en_5.5.0_3.0_1727163689623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_quac_nohistory_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_quac_nohistory_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_quac_nohistory_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Jellevdl/bert-base-uncased-finetuned-quac-noHistory
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline_en.md
new file mode 100644
index 00000000000000..76f97aa2d5064c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline pipeline BertForQuestionAnswering from Jellevdl
+author: John Snow Labs
+name: bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline` is a English model originally trained by Jellevdl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline_en_5.5.0_3.0_1727163158239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline_en_5.5.0_3.0_1727163158239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_quac_withouthistory_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Jellevdl/bert-base-uncased-finetuned-quac-withoutHistory-v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_newscategoryclassification_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_newscategoryclassification_en.md
new file mode 100644
index 00000000000000..ddbbba0216f3fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_newscategoryclassification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification DistilBertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_newscategoryclassification` is a English model originally trained by akashmaggon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_en_5.5.0_3.0_1727204776004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_en_5.5.0_3.0_1727204776004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/akashmaggon/bert-base-uncased-newscategoryclassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_newscategoryclassification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_newscategoryclassification_pipeline_en.md
new file mode 100644
index 00000000000000..f1d3f3fe9f1961
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_newscategoryclassification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification_pipeline pipeline DistilBertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_newscategoryclassification_pipeline` is a English model originally trained by akashmaggon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_pipeline_en_5.5.0_3.0_1727204796937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_pipeline_en_5.5.0_3.0_1727204796937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_newscategoryclassification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_newscategoryclassification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/akashmaggon/bert-base-uncased-newscategoryclassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_scqa1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_scqa1_pipeline_en.md
new file mode 100644
index 00000000000000..119e3baaa3a316
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_scqa1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_scqa1_pipeline pipeline BertForQuestionAnswering from CambridgeMolecularEngineering
+author: John Snow Labs
+name: bert_base_uncased_scqa1_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_scqa1_pipeline` is a English model originally trained by CambridgeMolecularEngineering.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_scqa1_pipeline_en_5.5.0_3.0_1727163156836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_scqa1_pipeline_en_5.5.0_3.0_1727163156836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_scqa1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_scqa1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_scqa1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/CambridgeMolecularEngineering/bert-base-uncased-scqa1
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_based_false_positive_secrets_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_based_false_positive_secrets_en.md
new file mode 100644
index 00000000000000..b718bc58377ab5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_based_false_positive_secrets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_based_false_positive_secrets DistilBertForSequenceClassification from harshvkarn
+author: John Snow Labs
+name: bert_based_false_positive_secrets
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_based_false_positive_secrets` is a English model originally trained by harshvkarn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_false_positive_secrets_en_5.5.0_3.0_1727204776135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_false_positive_secrets_en_5.5.0_3.0_1727204776135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_false_positive_secrets|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/harshvkarn/bert-based-false-positive-secrets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_based_false_positive_secrets_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_based_false_positive_secrets_pipeline_en.md
new file mode 100644
index 00000000000000..9b2f9d9f53fcd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_based_false_positive_secrets_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_based_false_positive_secrets_pipeline pipeline DistilBertForSequenceClassification from harshvkarn
+author: John Snow Labs
+name: bert_based_false_positive_secrets_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_based_false_positive_secrets_pipeline` is a English model originally trained by harshvkarn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_false_positive_secrets_pipeline_en_5.5.0_3.0_1727204796891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_false_positive_secrets_pipeline_en_5.5.0_3.0_1727204796891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_based_false_positive_secrets_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_based_false_positive_secrets_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_false_positive_secrets_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/harshvkarn/bert-based-false-positive-secrets
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_arxiv_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_arxiv_en.md
new file mode 100644
index 00000000000000..115972580d717b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_arxiv_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_arxiv BertForSequenceClassification from AyoubChLin
+author: John Snow Labs
+name: bert_finetuned_arxiv
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_arxiv` is a English model originally trained by AyoubChLin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_arxiv_en_5.5.0_3.0_1727222221401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_arxiv_en_5.5.0_3.0_1727222221401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_arxiv|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/AyoubChLin/bert-finetuned-Arxiv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_squad_delayedkarma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_squad_delayedkarma_pipeline_en.md
new file mode 100644
index 00000000000000..e9dcb873d5d637
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_squad_delayedkarma_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_squad_delayedkarma_pipeline pipeline BertForQuestionAnswering from delayedkarma
+author: John Snow Labs
+name: bert_finetuned_squad_delayedkarma_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_delayedkarma_pipeline` is a English model originally trained by delayedkarma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_delayedkarma_pipeline_en_5.5.0_3.0_1727175643894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_delayedkarma_pipeline_en_5.5.0_3.0_1727175643894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_squad_delayedkarma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_squad_delayedkarma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_delayedkarma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/delayedkarma/bert-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_gemma2b_multivllm_nodropsus_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_gemma2b_multivllm_nodropsus_0_pipeline_en.md
new file mode 100644
index 00000000000000..bcc1e936dbefe0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_gemma2b_multivllm_nodropsus_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_gemma2b_multivllm_nodropsus_0_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_gemma2b_multivllm_nodropsus_0_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_gemma2b_multivllm_nodropsus_0_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_gemma2b_multivllm_nodropsus_0_pipeline_en_5.5.0_3.0_1727164275603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_gemma2b_multivllm_nodropsus_0_pipeline_en_5.5.0_3.0_1727164275603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_gemma2b_multivllm_nodropsus_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_gemma2b_multivllm_nodropsus_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_gemma2b_multivllm_nodropsus_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_gemma2b-multivllm-NodropSus_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_tagalog_base_uncased_ner_v1_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_tagalog_base_uncased_ner_v1_en.md
new file mode 100644
index 00000000000000..68a8b54ab1ec24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_tagalog_base_uncased_ner_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tagalog_base_uncased_ner_v1 BertForTokenClassification from scostiniano
+author: John Snow Labs
+name: bert_tagalog_base_uncased_ner_v1
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tagalog_base_uncased_ner_v1` is a English model originally trained by scostiniano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tagalog_base_uncased_ner_v1_en_5.5.0_3.0_1727203607818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tagalog_base_uncased_ner_v1_en_5.5.0_3.0_1727203607818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tagalog_base_uncased_ner_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/scostiniano/bert-tagalog-base-uncased-ner-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_tagalog_base_uncased_ner_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_tagalog_base_uncased_ner_v1_pipeline_en.md
new file mode 100644
index 00000000000000..daea8ebaca87f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_tagalog_base_uncased_ner_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_tagalog_base_uncased_ner_v1_pipeline pipeline BertForTokenClassification from scostiniano
+author: John Snow Labs
+name: bert_tagalog_base_uncased_ner_v1_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tagalog_base_uncased_ner_v1_pipeline` is a English model originally trained by scostiniano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tagalog_base_uncased_ner_v1_pipeline_en_5.5.0_3.0_1727203629522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tagalog_base_uncased_ner_v1_pipeline_en_5.5.0_3.0_1727203629522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tagalog_base_uncased_ner_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tagalog_base_uncased_ner_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tagalog_base_uncased_ner_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/scostiniano/bert-tagalog-base-uncased-ner-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bertin_base_random_es.md b/docs/_posts/ahmedlone127/2024-09-24-bertin_base_random_es.md
new file mode 100644
index 00000000000000..81f9b356d44e88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bertin_base_random_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bertin_base_random RoBertaEmbeddings from bertin-project
+author: John Snow Labs
+name: bertin_base_random
+date: 2024-09-24
+tags: [es, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertin_base_random` is a Castilian, Spanish model originally trained by bertin-project.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertin_base_random_es_5.5.0_3.0_1727216375790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertin_base_random_es_5.5.0_3.0_1727216375790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_base_random|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|es|
+|Size:|231.6 MB|
+
+## References
+
+https://huggingface.co/bertin-project/bertin-base-random
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bertin_base_random_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-24-bertin_base_random_pipeline_es.md
new file mode 100644
index 00000000000000..bbcb02b5a31251
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bertin_base_random_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish bertin_base_random_pipeline pipeline RoBertaEmbeddings from bertin-project
+author: John Snow Labs
+name: bertin_base_random_pipeline
+date: 2024-09-24
+tags: [es, open_source, pipeline, onnx]
+task: Embeddings
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertin_base_random_pipeline` is a Castilian, Spanish model originally trained by bertin-project.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertin_base_random_pipeline_es_5.5.0_3.0_1727216451962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertin_base_random_pipeline_es_5.5.0_3.0_1727216451962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertin_base_random_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertin_base_random_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_base_random_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|231.6 MB|
+
+## References
+
+https://huggingface.co/bertin-project/bertin-base-random
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bertin_roberta_base_spanish_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-24-bertin_roberta_base_spanish_pipeline_es.md
new file mode 100644
index 00000000000000..7720e86b1a7271
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bertin_roberta_base_spanish_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish bertin_roberta_base_spanish_pipeline pipeline RoBertaEmbeddings from bertin-project
+author: John Snow Labs
+name: bertin_roberta_base_spanish_pipeline
+date: 2024-09-24
+tags: [es, open_source, pipeline, onnx]
+task: Embeddings
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertin_roberta_base_spanish_pipeline` is a Castilian, Spanish model originally trained by bertin-project.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertin_roberta_base_spanish_pipeline_es_5.5.0_3.0_1727168840178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertin_roberta_base_spanish_pipeline_es_5.5.0_3.0_1727168840178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertin_roberta_base_spanish_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertin_roberta_base_spanish_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_roberta_base_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|462.3 MB|
+
+## References
+
+https://huggingface.co/bertin-project/bertin-roberta-base-spanish
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bertis_en.md b/docs/_posts/ahmedlone127/2024-09-24-bertis_en.md
new file mode 100644
index 00000000000000..da9e633d374e22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bertis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertis BertForSequenceClassification from mireillfares
+author: John Snow Labs
+name: bertis
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertis` is a English model originally trained by mireillfares.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertis_en_5.5.0_3.0_1727214041559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertis_en_5.5.0_3.0_1727214041559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mireillfares/BERTIS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bertis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bertis_pipeline_en.md
new file mode 100644
index 00000000000000..21ba4f29df2716
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bertis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertis_pipeline pipeline BertForSequenceClassification from mireillfares
+author: John Snow Labs
+name: bertis_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertis_pipeline` is a English model originally trained by mireillfares.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertis_pipeline_en_5.5.0_3.0_1727214062959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertis_pipeline_en_5.5.0_3.0_1727214062959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mireillfares/BERTIS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bge_base_financial_matryoshka_en.md b/docs/_posts/ahmedlone127/2024-09-24-bge_base_financial_matryoshka_en.md
new file mode 100644
index 00000000000000..06efba613eb589
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bge_base_financial_matryoshka_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_base_financial_matryoshka BGEEmbeddings from ValentinaKim
+author: John Snow Labs
+name: bge_base_financial_matryoshka
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_financial_matryoshka` is a English model originally trained by ValentinaKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_financial_matryoshka_en_5.5.0_3.0_1727207436216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_financial_matryoshka_en_5.5.0_3.0_1727207436216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_financial_matryoshka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|387.1 MB|
+
+## References
+
+https://huggingface.co/ValentinaKim/bge-base-financial-matryoshka
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bge_base_financial_matryoshka_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bge_base_financial_matryoshka_pipeline_en.md
new file mode 100644
index 00000000000000..8a49ae1d5c3f7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bge_base_financial_matryoshka_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_financial_matryoshka_pipeline pipeline BGEEmbeddings from ValentinaKim
+author: John Snow Labs
+name: bge_base_financial_matryoshka_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_financial_matryoshka_pipeline` is a English model originally trained by ValentinaKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_financial_matryoshka_pipeline_en_5.5.0_3.0_1727207463772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_financial_matryoshka_pipeline_en_5.5.0_3.0_1727207463772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_financial_matryoshka_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_financial_matryoshka_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_financial_matryoshka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|387.1 MB|
+
+## References
+
+https://huggingface.co/ValentinaKim/bge-base-financial-matryoshka
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bio_mobilebert_en.md b/docs/_posts/ahmedlone127/2024-09-24-bio_mobilebert_en.md
new file mode 100644
index 00000000000000..5af22c5ecc073a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bio_mobilebert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bio_mobilebert BertEmbeddings from nlpie
+author: John Snow Labs
+name: bio_mobilebert
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bio_mobilebert` is a English model originally trained by nlpie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_mobilebert_en_5.5.0_3.0_1727173387006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_mobilebert_en_5.5.0_3.0_1727173387006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_mobilebert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/nlpie/bio-mobilebert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-biom_albert_xxlarge_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-biom_albert_xxlarge_pipeline_en.md
new file mode 100644
index 00000000000000..e7531cc8d1fe53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-biom_albert_xxlarge_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biom_albert_xxlarge_pipeline pipeline AlbertEmbeddings from sultan
+author: John Snow Labs
+name: biom_albert_xxlarge_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biom_albert_xxlarge_pipeline` is a English model originally trained by sultan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biom_albert_xxlarge_pipeline_en_5.5.0_3.0_1727220257398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biom_albert_xxlarge_pipeline_en_5.5.0_3.0_1727220257398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biom_albert_xxlarge_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biom_albert_xxlarge_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biom_albert_xxlarge_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|771.3 MB|
+
+## References
+
+https://huggingface.co/sultan/BioM-ALBERT-xxlarge
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-biomedroberta_finetuned_valid_testing_en.md b/docs/_posts/ahmedlone127/2024-09-24-biomedroberta_finetuned_valid_testing_en.md
new file mode 100644
index 00000000000000..00d20d3c3149ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-biomedroberta_finetuned_valid_testing_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomedroberta_finetuned_valid_testing RoBertaForTokenClassification from pabRomero
+author: John Snow Labs
+name: biomedroberta_finetuned_valid_testing
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedroberta_finetuned_valid_testing` is a English model originally trained by pabRomero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_en_5.5.0_3.0_1727199316956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_en_5.5.0_3.0_1727199316956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedroberta_finetuned_valid_testing|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/pabRomero/BioMedRoBERTa-finetuned-valid-testing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-biomedroberta_finetuned_valid_testing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-biomedroberta_finetuned_valid_testing_pipeline_en.md
new file mode 100644
index 00000000000000..6958fbe43e4c59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-biomedroberta_finetuned_valid_testing_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biomedroberta_finetuned_valid_testing_pipeline pipeline RoBertaForTokenClassification from pabRomero
+author: John Snow Labs
+name: biomedroberta_finetuned_valid_testing_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedroberta_finetuned_valid_testing_pipeline` is a English model originally trained by pabRomero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_pipeline_en_5.5.0_3.0_1727199340266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_pipeline_en_5.5.0_3.0_1727199340266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biomedroberta_finetuned_valid_testing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biomedroberta_finetuned_valid_testing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedroberta_finetuned_valid_testing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/pabRomero/BioMedRoBERTa-finetuned-valid-testing
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bpe_selfies_pubchem_shard00_166_5k_en.md b/docs/_posts/ahmedlone127/2024-09-24-bpe_selfies_pubchem_shard00_166_5k_en.md
new file mode 100644
index 00000000000000..546b9280742de0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bpe_selfies_pubchem_shard00_166_5k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bpe_selfies_pubchem_shard00_166_5k RoBertaEmbeddings from seyonec
+author: John Snow Labs
+name: bpe_selfies_pubchem_shard00_166_5k
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bpe_selfies_pubchem_shard00_166_5k` is a English model originally trained by seyonec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_166_5k_en_5.5.0_3.0_1727168680327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_166_5k_en_5.5.0_3.0_1727168680327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bpe_selfies_pubchem_shard00_166_5k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|309.3 MB|
+
+## References
+
+https://huggingface.co/seyonec/BPE_SELFIES_PubChem_shard00_166_5k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bpe_selfies_pubchem_shard00_166_5k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bpe_selfies_pubchem_shard00_166_5k_pipeline_en.md
new file mode 100644
index 00000000000000..3820b3a68e5ba6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bpe_selfies_pubchem_shard00_166_5k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bpe_selfies_pubchem_shard00_166_5k_pipeline pipeline RoBertaEmbeddings from seyonec
+author: John Snow Labs
+name: bpe_selfies_pubchem_shard00_166_5k_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bpe_selfies_pubchem_shard00_166_5k_pipeline` is a English model originally trained by seyonec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_166_5k_pipeline_en_5.5.0_3.0_1727168695825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_166_5k_pipeline_en_5.5.0_3.0_1727168695825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bpe_selfies_pubchem_shard00_166_5k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bpe_selfies_pubchem_shard00_166_5k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bpe_selfies_pubchem_shard00_166_5k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.3 MB|
+
+## References
+
+https://huggingface.co/seyonec/BPE_SELFIES_PubChem_shard00_166_5k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-brwac_v1_5__checkpoint_27_100000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-brwac_v1_5__checkpoint_27_100000_pipeline_en.md
new file mode 100644
index 00000000000000..5ff1b8538440c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-brwac_v1_5__checkpoint_27_100000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English brwac_v1_5__checkpoint_27_100000_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_5__checkpoint_27_100000_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_5__checkpoint_27_100000_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint_27_100000_pipeline_en_5.5.0_3.0_1727169209114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_5__checkpoint_27_100000_pipeline_en_5.5.0_3.0_1727169209114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("brwac_v1_5__checkpoint_27_100000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("brwac_v1_5__checkpoint_27_100000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_5__checkpoint_27_100000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.9 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_5__checkpoint_27_100000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_carmen_species_es.md b/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_carmen_species_es.md
new file mode 100644
index 00000000000000..4015a36fbf1ef7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_carmen_species_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_carmen_species RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_carmen_species
+date: 2024-09-24
+tags: [es, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_carmen_species` is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_species_es_5.5.0_3.0_1727151557808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_species_es_5.5.0_3.0_1727151557808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_carmen_species|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-carmen-species
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_carmen_species_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_carmen_species_pipeline_es.md
new file mode 100644
index 00000000000000..b662f6f9a0b18f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_carmen_species_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_carmen_species_pipeline pipeline RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_carmen_species_pipeline
+date: 2024-09-24
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_carmen_species_pipeline` is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_species_pipeline_es_5.5.0_3.0_1727151583876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_species_pipeline_es_5.5.0_3.0_1727151583876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_carmen_species_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_carmen_species_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_carmen_species_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|438.3 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-carmen-species
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_symptemist_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_symptemist_pipeline_es.md
new file mode 100644
index 00000000000000..b6fa6ca8663622
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bsc_bio_ehr_spanish_symptemist_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_symptemist_pipeline pipeline RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_symptemist_pipeline
+date: 2024-09-24
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_symptemist_pipeline` is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_pipeline_es_5.5.0_3.0_1727151487083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_pipeline_es_5.5.0_3.0_1727151487083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_symptemist_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|441.8 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-symptemist
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline_en.md
new file mode 100644
index 00000000000000..d3736fcdcddef1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline pipeline RoBertaEmbeddings from Erantr1
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline` is a English model originally trained by Erantr1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline_en_5.5.0_3.0_1727169097130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline_en_5.5.0_3.0_1727169097130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_eran_t_imdb_nepal_bhasa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/Erantr1/my_awesome_eli5_mlm_model_eran_t_imdb_new
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_anatg_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_anatg_en.md
new file mode 100644
index 00000000000000..041e4659eb3582
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_anatg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_anatg DistilBertForSequenceClassification from Anatg
+author: John Snow Labs
+name: burmese_awesome_model_anatg
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_anatg` is a English model originally trained by Anatg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anatg_en_5.5.0_3.0_1727164377263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anatg_en_5.5.0_3.0_1727164377263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_anatg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Anatg/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_anatg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_anatg_pipeline_en.md
new file mode 100644
index 00000000000000..ee784e9ed8198d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_anatg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_anatg_pipeline pipeline DistilBertForSequenceClassification from Anatg
+author: John Snow Labs
+name: burmese_awesome_model_anatg_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_anatg_pipeline` is a English model originally trained by Anatg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anatg_pipeline_en_5.5.0_3.0_1727164395017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anatg_pipeline_en_5.5.0_3.0_1727164395017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_anatg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_anatg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_anatg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Anatg/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_hyungho_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_hyungho_pipeline_en.md
new file mode 100644
index 00000000000000..5aa0867e73b5b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_hyungho_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_hyungho_pipeline pipeline DistilBertForSequenceClassification from Hyungho
+author: John Snow Labs
+name: burmese_awesome_model_hyungho_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_hyungho_pipeline` is a English model originally trained by Hyungho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hyungho_pipeline_en_5.5.0_3.0_1727136951846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hyungho_pipeline_en_5.5.0_3.0_1727136951846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_hyungho_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_hyungho_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_hyungho_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Hyungho/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_sharadakatla_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_sharadakatla_pipeline_en.md
new file mode 100644
index 00000000000000..2d76a30d11882c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_sharadakatla_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_sharadakatla_pipeline pipeline DistilBertForSequenceClassification from sharadakatla
+author: John Snow Labs
+name: burmese_awesome_model_sharadakatla_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_sharadakatla_pipeline` is a English model originally trained by sharadakatla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sharadakatla_pipeline_en_5.5.0_3.0_1727164839121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sharadakatla_pipeline_en_5.5.0_3.0_1727164839121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_sharadakatla_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_sharadakatla_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_sharadakatla_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sharadakatla/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_thayinm_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_thayinm_en.md
new file mode 100644
index 00000000000000..ca3f5323d02af4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_thayinm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_thayinm DistilBertForSequenceClassification from thayinm
+author: John Snow Labs
+name: burmese_awesome_model_thayinm
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thayinm` is a English model originally trained by thayinm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thayinm_en_5.5.0_3.0_1727164663718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thayinm_en_5.5.0_3.0_1727164663718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_thayinm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thayinm/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_thayinm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_thayinm_pipeline_en.md
new file mode 100644
index 00000000000000..facb0cfdca03d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_thayinm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_thayinm_pipeline pipeline DistilBertForSequenceClassification from thayinm
+author: John Snow Labs
+name: burmese_awesome_model_thayinm_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thayinm_pipeline` is a English model originally trained by thayinm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thayinm_pipeline_en_5.5.0_3.0_1727164676551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thayinm_pipeline_en_5.5.0_3.0_1727164676551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_thayinm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_thayinm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_thayinm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thayinm/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_text_classification_jeruan3_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_text_classification_jeruan3_en.md
new file mode 100644
index 00000000000000..c012723a30edd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_text_classification_jeruan3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_text_classification_jeruan3 DistilBertForSequenceClassification from jeruan3
+author: John Snow Labs
+name: burmese_awesome_text_classification_jeruan3
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_text_classification_jeruan3` is a English model originally trained by jeruan3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_jeruan3_en_5.5.0_3.0_1727154509727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_jeruan3_en_5.5.0_3.0_1727154509727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_question_answering_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ashkh0099/my-bert-question-answering-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_bert_question_answering_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_bert_question_answering_model_pipeline_en.md
new file mode 100644
index 00000000000000..ea66055bf32c69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_bert_question_answering_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_bert_question_answering_model_pipeline pipeline BertForQuestionAnswering from Ashkh0099
+author: John Snow Labs
+name: burmese_bert_question_answering_model_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_bert_question_answering_model_pipeline` is a English model originally trained by Ashkh0099.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_bert_question_answering_model_pipeline_en_5.5.0_3.0_1727217085841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_bert_question_answering_model_pipeline_en_5.5.0_3.0_1727217085841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_bert_question_answering_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_bert_question_answering_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_question_answering_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ashkh0099/my-bert-question-answering-model
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-busu_model_small_pipeline_ro.md b/docs/_posts/ahmedlone127/2024-09-24-busu_model_small_pipeline_ro.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-busu_model_small_pipeline_ro.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Moldavian, Moldovan, Romanian busu_model_small_pipeline pipeline WhisperForCTC from iulik-pisik
+author: John Snow Labs
+name: busu_model_small_pipeline
+date: 2024-09-24
+tags: [ro, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ro
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`busu_model_small_pipeline` is a Moldavian, Moldovan, Romanian model originally trained by iulik-pisik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/busu_model_small_pipeline_ro_5.5.0_3.0_1727144357527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/busu_model_small_pipeline_ro_5.5.0_3.0_1727144357527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("busu_model_small_pipeline", lang = "ro")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("busu_model_small_pipeline", lang = "ro")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|busu_model_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ro|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/iulik-pisik/busu_model_small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-calc_nepal_bhasa_roberta_ep20_en.md b/docs/_posts/ahmedlone127/2024-09-24-calc_nepal_bhasa_roberta_ep20_en.md
new file mode 100644
index 00000000000000..8d0265f04b03f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-calc_nepal_bhasa_roberta_ep20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English calc_nepal_bhasa_roberta_ep20 RoBertaForTokenClassification from vishruthnath
+author: John Snow Labs
+name: calc_nepal_bhasa_roberta_ep20
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`calc_nepal_bhasa_roberta_ep20` is a English model originally trained by vishruthnath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/calc_nepal_bhasa_roberta_ep20_en_5.5.0_3.0_1727151021605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/calc_nepal_bhasa_roberta_ep20_en_5.5.0_3.0_1727151021605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|calc_nepal_bhasa_roberta_ep20|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|422.6 MB|
+
+## References
+
+https://huggingface.co/vishruthnath/Calc_new_RoBERTa_ep20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-camembert_base_fr.md b/docs/_posts/ahmedlone127/2024-09-24-camembert_base_fr.md
new file mode 100644
index 00000000000000..4fe642cf4b454e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-camembert_base_fr.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: CamemBERT Base Model
+author: John Snow Labs
+name: camembert_base
+date: 2024-09-24
+tags: [fr, french, embeddings, camembert, base, open_source, onnx]
+task: Embeddings
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CamemBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa model.
+For further information or requests, please go to [Camembert Website](https://camembert-model.fr/)
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_base_fr_5.5.0_3.0_1727210253431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_base_fr_5.5.0_3.0_1727210253431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|camembert_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[camembert]|
+|Language:|fr|
+|Size:|264.0 MB|
+
+## Benchmarking
+
+```bash
+
+
+| Model | #params | Arch. | Training data |
+|--------------------------------|--------------------------------|-------|-----------------------------------|
+| `camembert-base` | 110M | Base | OSCAR (138 GB of text) |
+| `camembert/camembert-large` | 335M | Large | CCNet (135 GB of text) |
+| `camembert/camembert-base-ccnet` | 110M | Base | CCNet (135 GB of text) |
+| `camembert/camembert-base-wikipedia-4gb` | 110M | Base | Wikipedia (4 GB of text) |
+| `camembert/camembert-base-oscar-4gb` | 110M | Base | Subsample of OSCAR (4 GB of text) |
+| `camembert/camembert-base-ccnet-4gb` | 110M | Base | Subsample of CCNet (4 GB of text) |
+```
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-camembert_base_pipeline_fr.md b/docs/_posts/ahmedlone127/2024-09-24-camembert_base_pipeline_fr.md
new file mode 100644
index 00000000000000..3e0a850cd2baab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-camembert_base_pipeline_fr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: French camembert_base_pipeline pipeline CamemBertEmbeddings from almanach
+author: John Snow Labs
+name: camembert_base_pipeline
+date: 2024-09-24
+tags: [fr, open_source, pipeline, onnx]
+task: Embeddings
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`camembert_base_pipeline` is a French model originally trained by almanach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_base_pipeline_fr_5.5.0_3.0_1727210328201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_base_pipeline_fr_5.5.0_3.0_1727210328201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("camembert_base_pipeline", lang = "fr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("camembert_base_pipeline", lang = "fr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|camembert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fr|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/almanach/camembert-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-camembert_embeddings_Sonny_generic_model_fr.md b/docs/_posts/ahmedlone127/2024-09-24-camembert_embeddings_Sonny_generic_model_fr.md
new file mode 100644
index 00000000000000..7fcd2cf9741eed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-camembert_embeddings_Sonny_generic_model_fr.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: French CamemBert Embeddings (from Sonny)
+author: John Snow Labs
+name: camembert_embeddings_Sonny_generic_model
+date: 2024-09-24
+tags: [fr, open_source, camembert, embeddings, onnx]
+task: Embeddings
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CamemBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBert Embeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `dummy-model` is a French model orginally trained by `Sonny`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_embeddings_Sonny_generic_model_fr_5.5.0_3.0_1727210256163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_embeddings_Sonny_generic_model_fr_5.5.0_3.0_1727210256163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|camembert_french_legal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[camembert]|
+|Language:|fr|
+|Size:|412.8 MB|
+
+## References
+
+References
+
+https://huggingface.co/maastrichtlawtech/legal-camembert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-camembert_french_legal_pipeline_fr.md b/docs/_posts/ahmedlone127/2024-09-24-camembert_french_legal_pipeline_fr.md
new file mode 100644
index 00000000000000..b0d219e318038d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-camembert_french_legal_pipeline_fr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: French camembert_french_legal_pipeline pipeline CamemBertEmbeddings from maastrichtlawtech
+author: John Snow Labs
+name: camembert_french_legal_pipeline
+date: 2024-09-24
+tags: [fr, open_source, pipeline, onnx]
+task: Embeddings
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`camembert_french_legal_pipeline` is a French model originally trained by maastrichtlawtech.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_french_legal_pipeline_fr_5.5.0_3.0_1727210226725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_french_legal_pipeline_fr_5.5.0_3.0_1727210226725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("camembert_french_legal_pipeline", lang = "fr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("camembert_french_legal_pipeline", lang = "fr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|camembert_french_legal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fr|
+|Size:|412.9 MB|
+
+## References
+
+https://huggingface.co/maastrichtlawtech/legal-camembert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-chinese_roberta_wwm_ext_large_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-chinese_roberta_wwm_ext_large_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..1190dec77e5b3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-chinese_roberta_wwm_ext_large_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_large_finetuned_ner_pipeline pipeline BertForTokenClassification from HYM
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_large_finetuned_ner_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_large_finetuned_ner_pipeline` is a English model originally trained by HYM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_large_finetuned_ner_pipeline_en_5.5.0_3.0_1727203754472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_large_finetuned_ner_pipeline_en_5.5.0_3.0_1727203754472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chinese_roberta_wwm_ext_large_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chinese_roberta_wwm_ext_large_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_large_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/HYM/chinese-roberta-wwm-ext-large-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline_en.md
new file mode 100644
index 00000000000000..b05e372ff5ac3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline pipeline BertForQuestionAnswering from MatMulMan
+author: John Snow Labs
+name: cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline` is a English model originally trained by MatMulMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline_en_5.5.0_3.0_1727216854587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline_en_5.5.0_3.0_1727216854587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.0 MB|
+
+## References
+
+https://huggingface.co/MatMulMan/CL-AraBERTv0.1-base-33379-arabic_tydiqa
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-classification_multi_label_des_crimes_ar.md b/docs/_posts/ahmedlone127/2024-09-24-classification_multi_label_des_crimes_ar.md
new file mode 100644
index 00000000000000..4a20fa29fb59c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-classification_multi_label_des_crimes_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic classification_multi_label_des_crimes BertForSequenceClassification from fatttty
+author: John Snow Labs
+name: classification_multi_label_des_crimes
+date: 2024-09-24
+tags: [ar, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_multi_label_des_crimes` is a Arabic model originally trained by fatttty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_multi_label_des_crimes_ar_5.5.0_3.0_1727222144533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_multi_label_des_crimes_ar_5.5.0_3.0_1727222144533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classification_multi_label_des_crimes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/fatttty/classification_multi_label_des_crimes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-classification_multi_label_des_crimes_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-24-classification_multi_label_des_crimes_pipeline_ar.md
new file mode 100644
index 00000000000000..373bc6fae4add6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-classification_multi_label_des_crimes_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic classification_multi_label_des_crimes_pipeline pipeline BertForSequenceClassification from fatttty
+author: John Snow Labs
+name: classification_multi_label_des_crimes_pipeline
+date: 2024-09-24
+tags: [ar, open_source, pipeline, onnx]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_multi_label_des_crimes_pipeline` is a Arabic model originally trained by fatttty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_multi_label_des_crimes_pipeline_ar_5.5.0_3.0_1727222170898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_multi_label_des_crimes_pipeline_ar_5.5.0_3.0_1727222170898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classification_multi_label_des_crimes_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classification_multi_label_des_crimes_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classification_multi_label_des_crimes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/fatttty/classification_multi_label_des_crimes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-classification_tagging_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-classification_tagging_pipeline_en.md
new file mode 100644
index 00000000000000..feeb49c38ca78c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-classification_tagging_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classification_tagging_pipeline pipeline BertEmbeddings from kumarsonu
+author: John Snow Labs
+name: classification_tagging_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_tagging_pipeline` is a English model originally trained by kumarsonu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_tagging_pipeline_en_5.5.0_3.0_1727177692643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_tagging_pipeline_en_5.5.0_3.0_1727177692643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classification_tagging_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classification_tagging_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classification_tagging_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/kumarsonu/Classification_Tagging
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-clip_vit_large_patch14_en.md b/docs/_posts/ahmedlone127/2024-09-24-clip_vit_large_patch14_en.md
new file mode 100644
index 00000000000000..a9e0a48916c7e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-clip_vit_large_patch14_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English clip_vit_large_patch14 CLIPForZeroShotClassification from openai
+author: John Snow Labs
+name: clip_vit_large_patch14
+date: 2024-09-24
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clip_vit_large_patch14` is a English model originally trained by openai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clip_vit_large_patch14_en_5.5.0_3.0_1727207942979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clip_vit_large_patch14_en_5.5.0_3.0_1727207942979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("clip_vit_large_patch14","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("clip_vit_large_patch14","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clip_vit_large_patch14|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/openai/clip-vit-large-patch14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-code_search_codebert_base_random_trimmed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-code_search_codebert_base_random_trimmed_pipeline_en.md
new file mode 100644
index 00000000000000..4be6be30b58b60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-code_search_codebert_base_random_trimmed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English code_search_codebert_base_random_trimmed_pipeline pipeline RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: code_search_codebert_base_random_trimmed_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_search_codebert_base_random_trimmed_pipeline` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_random_trimmed_pipeline_en_5.5.0_3.0_1727150992459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_random_trimmed_pipeline_en_5.5.0_3.0_1727150992459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("code_search_codebert_base_random_trimmed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("code_search_codebert_base_random_trimmed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_search_codebert_base_random_trimmed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/code_search_codebert_base_random_trimmed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-code_search_codebert_base_up_down_1_trimmed_en.md b/docs/_posts/ahmedlone127/2024-09-24-code_search_codebert_base_up_down_1_trimmed_en.md
new file mode 100644
index 00000000000000..47eed14df08dbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-code_search_codebert_base_up_down_1_trimmed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English code_search_codebert_base_up_down_1_trimmed RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: code_search_codebert_base_up_down_1_trimmed
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_search_codebert_base_up_down_1_trimmed` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_up_down_1_trimmed_en_5.5.0_3.0_1727139369172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_up_down_1_trimmed_en_5.5.0_3.0_1727139369172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_search_codebert_base_up_down_1_trimmed|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/code_search_codebert_base_up_down_1_trimmed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-codebert_java_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-codebert_java_pipeline_en.md
new file mode 100644
index 00000000000000..fd5c683ee5f943
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-codebert_java_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English codebert_java_pipeline pipeline RoBertaEmbeddings from neulab
+author: John Snow Labs
+name: codebert_java_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebert_java_pipeline` is a English model originally trained by neulab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_java_pipeline_en_5.5.0_3.0_1727216315272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_java_pipeline_en_5.5.0_3.0_1727216315272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("codebert_java_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("codebert_java_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_java_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/neulab/codebert-java
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_cased_pipeline_en.md
new file mode 100644
index 00000000000000..c0acf6f8db2f25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English conflibert_cont_cased_pipeline pipeline BertEmbeddings from snowood1
+author: John Snow Labs
+name: conflibert_cont_cased_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`conflibert_cont_cased_pipeline` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conflibert_cont_cased_pipeline_en_5.5.0_3.0_1727220709179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conflibert_cont_cased_pipeline_en_5.5.0_3.0_1727220709179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("conflibert_cont_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("conflibert_cont_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|conflibert_cont_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|402.9 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-cont-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_uncased_en.md
new file mode 100644
index 00000000000000..a038e41e4bf7aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English conflibert_cont_uncased BertEmbeddings from snowood1
+author: John Snow Labs
+name: conflibert_cont_uncased
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`conflibert_cont_uncased` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conflibert_cont_uncased_en_5.5.0_3.0_1727221175110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conflibert_cont_uncased_en_5.5.0_3.0_1727221175110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|conflibert_cont_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-cont-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..3760c07f3d59e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-conflibert_cont_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English conflibert_cont_uncased_pipeline pipeline BertEmbeddings from snowood1
+author: John Snow Labs
+name: conflibert_cont_uncased_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`conflibert_cont_uncased_pipeline` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conflibert_cont_uncased_pipeline_en_5.5.0_3.0_1727221195692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conflibert_cont_uncased_pipeline_en_5.5.0_3.0_1727221195692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("conflibert_cont_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("conflibert_cont_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|conflibert_cont_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-cont-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-contaminationquestionanswering_en.md b/docs/_posts/ahmedlone127/2024-09-24-contaminationquestionanswering_en.md
new file mode 100644
index 00000000000000..ed87debf5d4a0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-contaminationquestionanswering_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English contaminationquestionanswering DistilBertForQuestionAnswering from Shushant
+author: John Snow Labs
+name: contaminationquestionanswering
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`contaminationquestionanswering` is a English model originally trained by Shushant.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/contaminationquestionanswering_en_5.5.0_3.0_1727219904234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/contaminationquestionanswering_en_5.5.0_3.0_1727219904234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|contaminationquestionanswering|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Shushant/ContaminationQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-contaminationquestionanswering_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-contaminationquestionanswering_pipeline_en.md
new file mode 100644
index 00000000000000..304bf39e316815
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-contaminationquestionanswering_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English contaminationquestionanswering_pipeline pipeline DistilBertForQuestionAnswering from Shushant
+author: John Snow Labs
+name: contaminationquestionanswering_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`contaminationquestionanswering_pipeline` is a English model originally trained by Shushant.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/contaminationquestionanswering_pipeline_en_5.5.0_3.0_1727219918030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/contaminationquestionanswering_pipeline_en_5.5.0_3.0_1727219918030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("contaminationquestionanswering_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("contaminationquestionanswering_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|contaminationquestionanswering_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Shushant/ContaminationQuestionAnswering
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_en.md b/docs/_posts/ahmedlone127/2024-09-24-correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_en.md
new file mode 100644
index 00000000000000..f6b7659db77131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14 BertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_en_5.5.0_3.0_1727203282167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_en_5.5.0_3.0_1727203282167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_BERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_47_14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline_en.md
new file mode 100644
index 00000000000000..2afb6fc03d145b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline pipeline BertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline_en_5.5.0_3.0_1727203304268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline_en_5.5.0_3.0_1727203304268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_bert_token_itr0_0_0001_webdiscourse_01_03_2022_15_47_14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_BERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_47_14
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-danish_roberta_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-24-danish_roberta_portuguese_en.md
new file mode 100644
index 00000000000000..bda9ea5ab7c417
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-danish_roberta_portuguese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English danish_roberta_portuguese RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: danish_roberta_portuguese
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_roberta_portuguese` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_roberta_portuguese_en_5.5.0_3.0_1727211564054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_roberta_portuguese_en_5.5.0_3.0_1727211564054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_roberta_portuguese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.4 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/da-roberta-pt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-danish_roberta_portuguese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-danish_roberta_portuguese_pipeline_en.md
new file mode 100644
index 00000000000000..79643dcad33d72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-danish_roberta_portuguese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English danish_roberta_portuguese_pipeline pipeline RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: danish_roberta_portuguese_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_roberta_portuguese_pipeline` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_roberta_portuguese_pipeline_en_5.5.0_3.0_1727211599011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_roberta_portuguese_pipeline_en_5.5.0_3.0_1727211599011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("danish_roberta_portuguese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("danish_roberta_portuguese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_roberta_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|444.5 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/da-roberta-pt
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_1_pipeline_en.md
new file mode 100644
index 00000000000000..fa9e08d6ff9e35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English db_mc2_4_1_pipeline pipeline DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_4_1_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_4_1_pipeline` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_4_1_pipeline_en_5.5.0_3.0_1727137585316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_4_1_pipeline_en_5.5.0_3.0_1727137585316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("db_mc2_4_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("db_mc2_4_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_4_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_4.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_base_japanese_ku_nlp_ja.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_base_japanese_ku_nlp_ja.md
new file mode 100644
index 00000000000000..9b4d0e016a35a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_base_japanese_ku_nlp_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese deberta_v2_base_japanese_ku_nlp DeBertaEmbeddings from ku-nlp
+author: John Snow Labs
+name: deberta_v2_base_japanese_ku_nlp
+date: 2024-09-24
+tags: [ja, open_source, onnx, embeddings, deberta]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v2_base_japanese_ku_nlp` is a Japanese model originally trained by ku-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v2_base_japanese_ku_nlp_ja_5.5.0_3.0_1727196997773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v2_base_japanese_ku_nlp_ja_5.5.0_3.0_1727196997773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v2_base_japanese_ku_nlp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[deberta]|
+|Language:|ja|
+|Size:|419.0 MB|
+
+## References
+
+https://huggingface.co/ku-nlp/deberta-v2-base-japanese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_base_japanese_ku_nlp_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_base_japanese_ku_nlp_pipeline_ja.md
new file mode 100644
index 00000000000000..3ead0421a9f772
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_base_japanese_ku_nlp_pipeline_ja.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Japanese deberta_v2_base_japanese_ku_nlp_pipeline pipeline DeBertaEmbeddings from ku-nlp
+author: John Snow Labs
+name: deberta_v2_base_japanese_ku_nlp_pipeline
+date: 2024-09-24
+tags: [ja, open_source, pipeline, onnx]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v2_base_japanese_ku_nlp_pipeline` is a Japanese model originally trained by ku-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v2_base_japanese_ku_nlp_pipeline_ja_5.5.0_3.0_1727197018414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v2_base_japanese_ku_nlp_pipeline_ja_5.5.0_3.0_1727197018414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v2_base_japanese_ku_nlp_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v2_base_japanese_ku_nlp_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v2_base_japanese_ku_nlp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|419.0 MB|
+
+## References
+
+https://huggingface.co/ku-nlp/deberta-v2-base-japanese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_large_japanese_ja.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_large_japanese_ja.md
new file mode 100644
index 00000000000000..a74e558350cd1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_large_japanese_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese deberta_v2_large_japanese DeBertaEmbeddings from ku-nlp
+author: John Snow Labs
+name: deberta_v2_large_japanese
+date: 2024-09-24
+tags: [ja, open_source, onnx, embeddings, deberta]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v2_large_japanese` is a Japanese model originally trained by ku-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v2_large_japanese_ja_5.5.0_3.0_1727197101334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v2_large_japanese_ja_5.5.0_3.0_1727197101334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v2_large_japanese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[deberta]|
+|Language:|ja|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ku-nlp/deberta-v2-large-japanese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_large_japanese_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_large_japanese_pipeline_ja.md
new file mode 100644
index 00000000000000..8898d22e16cab0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v2_large_japanese_pipeline_ja.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Japanese deberta_v2_large_japanese_pipeline pipeline DeBertaEmbeddings from ku-nlp
+author: John Snow Labs
+name: deberta_v2_large_japanese_pipeline
+date: 2024-09-24
+tags: [ja, open_source, pipeline, onnx]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v2_large_japanese_pipeline` is a Japanese model originally trained by ku-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v2_large_japanese_pipeline_ja_5.5.0_3.0_1727197163862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v2_large_japanese_pipeline_ja_5.5.0_3.0_1727197163862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v2_large_japanese_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v2_large_japanese_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v2_large_japanese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ku-nlp/deberta-v2-large-japanese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_base_prompt_injection_protectai_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_base_prompt_injection_protectai_en.md
new file mode 100644
index 00000000000000..f83622f8c1c10f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_base_prompt_injection_protectai_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_prompt_injection_protectai DeBertaForSequenceClassification from protectai
+author: John Snow Labs
+name: deberta_v3_base_prompt_injection_protectai
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_prompt_injection_protectai` is a English model originally trained by protectai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_prompt_injection_protectai_en_5.5.0_3.0_1727212657514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_prompt_injection_protectai_en_5.5.0_3.0_1727212657514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_prompt_injection_protectai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|677.6 MB|
+
+## References
+
+https://huggingface.co/protectai/deberta-v3-base-prompt-injection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_base_prompt_injection_protectai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_base_prompt_injection_protectai_pipeline_en.md
new file mode 100644
index 00000000000000..ef3676ca704fb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_base_prompt_injection_protectai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_base_prompt_injection_protectai_pipeline pipeline DeBertaForSequenceClassification from protectai
+author: John Snow Labs
+name: deberta_v3_base_prompt_injection_protectai_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_prompt_injection_protectai_pipeline` is a English model originally trained by protectai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_prompt_injection_protectai_pipeline_en_5.5.0_3.0_1727212696688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_prompt_injection_protectai_pipeline_en_5.5.0_3.0_1727212696688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_base_prompt_injection_protectai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_base_prompt_injection_protectai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_prompt_injection_protectai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|677.6 MB|
+
+## References
+
+https://huggingface.co/protectai/deberta-v3-base-prompt-injection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_large_hf_weights_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_large_hf_weights_en.md
new file mode 100644
index 00000000000000..a77c95fd9b6ba7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_large_hf_weights_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_hf_weights DeBertaEmbeddings from nagupv
+author: John Snow Labs
+name: deberta_v3_large_hf_weights
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, deberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_hf_weights` is a English model originally trained by nagupv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_hf_weights_en_5.5.0_3.0_1727197193591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_hf_weights_en_5.5.0_3.0_1727197193591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_hf_weights|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[deberta]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/nagupv/deberta-v3-large-hf-weights
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_large_hf_weights_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_large_hf_weights_pipeline_en.md
new file mode 100644
index 00000000000000..eee146bb569ea3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_large_hf_weights_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_hf_weights_pipeline pipeline DeBertaEmbeddings from nagupv
+author: John Snow Labs
+name: deberta_v3_large_hf_weights_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_hf_weights_pipeline` is a English model originally trained by nagupv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_hf_weights_pipeline_en_5.5.0_3.0_1727197274114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_hf_weights_pipeline_en_5.5.0_3.0_1727197274114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_hf_weights_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_hf_weights_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_hf_weights_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/nagupv/deberta-v3-large-hf-weights
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_small_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_small_finetuned_squad_en.md
new file mode 100644
index 00000000000000..21279ac15a8d21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_small_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English deberta_v3_small_finetuned_squad DeBertaForQuestionAnswering from mrm8488
+author: John Snow Labs
+name: deberta_v3_small_finetuned_squad
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, deberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_small_finetuned_squad` is a English model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_small_finetuned_squad_en_5.5.0_3.0_1727215551405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_small_finetuned_squad_en_5.5.0_3.0_1727215551405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_small_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|484.5 MB|
+
+## References
+
+https://huggingface.co/mrm8488/deberta-v3-small-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_small_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_small_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..8b2d409674c310
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_small_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English deberta_v3_small_finetuned_squad_pipeline pipeline DeBertaForQuestionAnswering from mrm8488
+author: John Snow Labs
+name: deberta_v3_small_finetuned_squad_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_small_finetuned_squad_pipeline` is a English model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_small_finetuned_squad_pipeline_en_5.5.0_3.0_1727215592183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_small_finetuned_squad_pipeline_en_5.5.0_3.0_1727215592183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_small_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_small_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_small_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|484.5 MB|
+
+## References
+
+https://huggingface.co/mrm8488/deberta-v3-small-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DeBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_xsmall_stsb_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_xsmall_stsb_en.md
new file mode 100644
index 00000000000000..5892c87324efdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_xsmall_stsb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_xsmall_stsb DeBertaForSequenceClassification from cliang1453
+author: John Snow Labs
+name: deberta_v3_xsmall_stsb
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_xsmall_stsb` is a English model originally trained by cliang1453.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_stsb_en_5.5.0_3.0_1727212651337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_stsb_en_5.5.0_3.0_1727212651337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_xsmall_stsb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|207.8 MB|
+
+## References
+
+https://huggingface.co/cliang1453/deberta-v3-xsmall-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_xsmall_stsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_xsmall_stsb_pipeline_en.md
new file mode 100644
index 00000000000000..21e86b1d261e5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deberta_v3_xsmall_stsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_xsmall_stsb_pipeline pipeline DeBertaForSequenceClassification from cliang1453
+author: John Snow Labs
+name: deberta_v3_xsmall_stsb_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_xsmall_stsb_pipeline` is a English model originally trained by cliang1453.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_stsb_pipeline_en_5.5.0_3.0_1727212684677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_stsb_pipeline_en_5.5.0_3.0_1727212684677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_xsmall_stsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_xsmall_stsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_xsmall_stsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|207.9 MB|
+
+## References
+
+https://huggingface.co/cliang1453/deberta-v3-xsmall-stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-deepset_bert_base_cased_squad2_orkg_what_5e_05_en.md b/docs/_posts/ahmedlone127/2024-09-24-deepset_bert_base_cased_squad2_orkg_what_5e_05_en.md
new file mode 100644
index 00000000000000..1162738474146a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-deepset_bert_base_cased_squad2_orkg_what_5e_05_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English deepset_bert_base_cased_squad2_orkg_what_5e_05 BertForQuestionAnswering from Moussab
+author: John Snow Labs
+name: deepset_bert_base_cased_squad2_orkg_what_5e_05
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deepset_bert_base_cased_squad2_orkg_what_5e_05` is a English model originally trained by Moussab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deepset_bert_base_cased_squad2_orkg_what_5e_05_en_5.5.0_3.0_1727176079756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deepset_bert_base_cased_squad2_orkg_what_5e_05_en_5.5.0_3.0_1727176079756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dictabert_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|he|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/dicta-il/dictabert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-did_the_doctor_call_italian_a_specialty_bert_first512_en.md b/docs/_posts/ahmedlone127/2024-09-24-did_the_doctor_call_italian_a_specialty_bert_first512_en.md
new file mode 100644
index 00000000000000..75413b1c33db40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-did_the_doctor_call_italian_a_specialty_bert_first512_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English did_the_doctor_call_italian_a_specialty_bert_first512 BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: did_the_doctor_call_italian_a_specialty_bert_first512
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`did_the_doctor_call_italian_a_specialty_bert_first512` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/did_the_doctor_call_italian_a_specialty_bert_first512_en_5.5.0_3.0_1727222235067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/did_the_doctor_call_italian_a_specialty_bert_first512_en_5.5.0_3.0_1727222235067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|did_the_doctor_call_italian_a_specialty_bert_first512|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/etadevosyan/did_the_doctor_call_it_a_specialty_bert_First512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-did_the_doctor_call_italian_a_specialty_bert_first512_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-did_the_doctor_call_italian_a_specialty_bert_first512_pipeline_en.md
new file mode 100644
index 00000000000000..0604281d719c4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-did_the_doctor_call_italian_a_specialty_bert_first512_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English did_the_doctor_call_italian_a_specialty_bert_first512_pipeline pipeline BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: did_the_doctor_call_italian_a_specialty_bert_first512_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`did_the_doctor_call_italian_a_specialty_bert_first512_pipeline` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/did_the_doctor_call_italian_a_specialty_bert_first512_pipeline_en_5.5.0_3.0_1727222269094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/did_the_doctor_call_italian_a_specialty_bert_first512_pipeline_en_5.5.0_3.0_1727222269094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("did_the_doctor_call_italian_a_specialty_bert_first512_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("did_the_doctor_call_italian_a_specialty_bert_first512_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|did_the_doctor_call_italian_a_specialty_bert_first512_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/etadevosyan/did_the_doctor_call_it_a_specialty_bert_First512
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-disease_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-24-disease_classifier_en.md
new file mode 100644
index 00000000000000..22d6b0a20ea9c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-disease_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English disease_classifier DistilBertForSequenceClassification from Amirth24
+author: John Snow Labs
+name: disease_classifier
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disease_classifier` is a English model originally trained by Amirth24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disease_classifier_en_5.5.0_3.0_1727204902517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disease_classifier_en_5.5.0_3.0_1727204902517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disease_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.6 MB|
+
+## References
+
+https://huggingface.co/Amirth24/disease_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-dissertation_bert_en.md b/docs/_posts/ahmedlone127/2024-09-24-dissertation_bert_en.md
new file mode 100644
index 00000000000000..b5b21abdf24db8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-dissertation_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dissertation_bert BertForSequenceClassification from ohid19
+author: John Snow Labs
+name: dissertation_bert
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dissertation_bert` is a English model originally trained by ohid19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dissertation_bert_en_5.5.0_3.0_1727213690638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dissertation_bert_en_5.5.0_3.0_1727213690638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dissertation_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ohid19/dissertation_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-dissertation_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-dissertation_bert_pipeline_en.md
new file mode 100644
index 00000000000000..a9a14441db95ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-dissertation_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dissertation_bert_pipeline pipeline BertForSequenceClassification from ohid19
+author: John Snow Labs
+name: dissertation_bert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dissertation_bert_pipeline` is a English model originally trained by ohid19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dissertation_bert_pipeline_en_5.5.0_3.0_1727213711964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dissertation_bert_pipeline_en_5.5.0_3.0_1727213711964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dissertation_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dissertation_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dissertation_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ohid19/dissertation_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_indonesian_fire_classification_silvanus_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_indonesian_fire_classification_silvanus_en.md
new file mode 100644
index 00000000000000..09aad0ffed3a92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_indonesian_fire_classification_silvanus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_indonesian_fire_classification_silvanus DistilBertForSequenceClassification from rollerhafeezh-amikom
+author: John Snow Labs
+name: distilbert_base_indonesian_fire_classification_silvanus
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_indonesian_fire_classification_silvanus` is a English model originally trained by rollerhafeezh-amikom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_indonesian_fire_classification_silvanus_en_5.5.0_3.0_1727154860154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_indonesian_fire_classification_silvanus_en_5.5.0_3.0_1727154860154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_indonesian_fire_classification_silvanus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|255.2 MB|
+
+## References
+
+https://huggingface.co/rollerhafeezh-amikom/distilbert-base-indonesian-fire-classification-silvanus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_indonesian_fire_classification_silvanus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_indonesian_fire_classification_silvanus_pipeline_en.md
new file mode 100644
index 00000000000000..ba5fee150ebdab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_indonesian_fire_classification_silvanus_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_indonesian_fire_classification_silvanus_pipeline pipeline DistilBertForSequenceClassification from rollerhafeezh-amikom
+author: John Snow Labs
+name: distilbert_base_indonesian_fire_classification_silvanus_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_indonesian_fire_classification_silvanus_pipeline` is a English model originally trained by rollerhafeezh-amikom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_indonesian_fire_classification_silvanus_pipeline_en_5.5.0_3.0_1727154873177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_indonesian_fire_classification_silvanus_pipeline_en_5.5.0_3.0_1727154873177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_indonesian_fire_classification_silvanus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_indonesian_fire_classification_silvanus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_indonesian_fire_classification_silvanus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|255.3 MB|
+
+## References
+
+https://huggingface.co/rollerhafeezh-amikom/distilbert-base-indonesian-fire-classification-silvanus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_multilingual_cased_sent_negativo_esp_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_multilingual_cased_sent_negativo_esp_pipeline_xx.md
new file mode 100644
index 00000000000000..4eed197d4e9964
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_multilingual_cased_sent_negativo_esp_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_sent_negativo_esp_pipeline pipeline DistilBertForSequenceClassification from rogelioplatt
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_sent_negativo_esp_pipeline
+date: 2024-09-24
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_sent_negativo_esp_pipeline` is a Multilingual model originally trained by rogelioplatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_sent_negativo_esp_pipeline_xx_5.5.0_3.0_1727204955319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_sent_negativo_esp_pipeline_xx_5.5.0_3.0_1727204955319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_sent_negativo_esp_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_sent_negativo_esp_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_sent_negativo_esp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/rogelioplatt/distilbert-base-multilingual-cased-Sent_Negativo_Esp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_thai_cased_finetuned_sentiment_cleaned_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_thai_cased_finetuned_sentiment_cleaned_en.md
new file mode 100644
index 00000000000000..9aac433851edd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_thai_cased_finetuned_sentiment_cleaned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_thai_cased_finetuned_sentiment_cleaned DistilBertForSequenceClassification from FlukeTJ
+author: John Snow Labs
+name: distilbert_base_thai_cased_finetuned_sentiment_cleaned
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_thai_cased_finetuned_sentiment_cleaned` is a English model originally trained by FlukeTJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_thai_cased_finetuned_sentiment_cleaned_en_5.5.0_3.0_1727137179285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_thai_cased_finetuned_sentiment_cleaned_en_5.5.0_3.0_1727137179285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_thai_cased_finetuned_sentiment_cleaned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/FlukeTJ/distilbert-base-thai-cased-finetuned-sentiment-cleaned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_5000_questions_gt_3_5epochs_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_5000_questions_gt_3_5epochs_en.md
new file mode 100644
index 00000000000000..67c62cd497d2b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_5000_questions_gt_3_5epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_5000_questions_gt_3_5epochs DistilBertForSequenceClassification from Abhibeats95
+author: John Snow Labs
+name: distilbert_base_uncased_5000_questions_gt_3_5epochs
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_5000_questions_gt_3_5epochs` is a English model originally trained by Abhibeats95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_5000_questions_gt_3_5epochs_en_5.5.0_3.0_1727137172073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_5000_questions_gt_3_5epochs_en_5.5.0_3.0_1727137172073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_5000_questions_gt_3_5epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Abhibeats95/distilbert-base-uncased-5000_questions_gt_3_5epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_fb_housing_posts_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_fb_housing_posts_en.md
new file mode 100644
index 00000000000000..c6899214c193ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_fb_housing_posts_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_fb_housing_posts DistilBertForSequenceClassification from hoaj
+author: John Snow Labs
+name: distilbert_base_uncased_fb_housing_posts
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fb_housing_posts` is a English model originally trained by hoaj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fb_housing_posts_en_5.5.0_3.0_1727164361417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fb_housing_posts_en_5.5.0_3.0_1727164361417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fb_housing_posts|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hoaj/distilbert-base-uncased-fb-housing-posts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_bisoye_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_bisoye_en.md
new file mode 100644
index 00000000000000..82d1faff1ba439
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_bisoye_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_bisoye DistilBertForSequenceClassification from bisoye
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_bisoye
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_bisoye` is a English model originally trained by bisoye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_bisoye_en_5.5.0_3.0_1727154941511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_bisoye_en_5.5.0_3.0_1727154941511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_bisoye|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/bisoye/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_bisoye_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_bisoye_pipeline_en.md
new file mode 100644
index 00000000000000..f010890f6bbe0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_bisoye_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_bisoye_pipeline pipeline DistilBertForSequenceClassification from bisoye
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_bisoye_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_bisoye_pipeline` is a English model originally trained by bisoye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_bisoye_pipeline_en_5.5.0_3.0_1727154954941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_bisoye_pipeline_en_5.5.0_3.0_1727154954941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_bisoye_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_bisoye_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_bisoye_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/bisoye/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline_en.md
new file mode 100644
index 00000000000000..e20f5605f60f78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline pipeline DistilBertForSequenceClassification from nachikethmurthy666
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline` is a English model originally trained by nachikethmurthy666.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline_en_5.5.0_3.0_1727136840887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline_en_5.5.0_3.0_1727136840887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_nachikethmurthy666_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/nachikethmurthy666/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_woodspoon09_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_woodspoon09_en.md
new file mode 100644
index 00000000000000..460596aa20fa99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_woodspoon09_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_woodspoon09 DistilBertForSequenceClassification from woodspoon09
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_woodspoon09
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_woodspoon09` is a English model originally trained by woodspoon09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_woodspoon09_en_5.5.0_3.0_1727154712970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_woodspoon09_en_5.5.0_3.0_1727154712970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_woodspoon09|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/woodspoon09/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline_en.md
new file mode 100644
index 00000000000000..a2ea1bba01ce04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline pipeline DistilBertForSequenceClassification from woodspoon09
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline` is a English model originally trained by woodspoon09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline_en_5.5.0_3.0_1727154727002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline_en_5.5.0_3.0_1727154727002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_woodspoon09_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/woodspoon09/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_againeureka_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_againeureka_pipeline_en.md
new file mode 100644
index 00000000000000..b9080f3c901e36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_againeureka_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_againeureka_pipeline pipeline DistilBertForSequenceClassification from againeureka
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_againeureka_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_againeureka_pipeline` is a English model originally trained by againeureka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_againeureka_pipeline_en_5.5.0_3.0_1727164492245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_againeureka_pipeline_en_5.5.0_3.0_1727164492245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_againeureka_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_againeureka_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_againeureka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/againeureka/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_negfir_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_negfir_en.md
new file mode 100644
index 00000000000000..c0321b068efd6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_negfir_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_negfir BertForSequenceClassification from negfir
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_negfir
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_negfir` is a English model originally trained by negfir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_negfir_en_5.5.0_3.0_1727222318264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_negfir_en_5.5.0_3.0_1727222318264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_negfir|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|24.2 MB|
+
+## References
+
+https://huggingface.co/negfir/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_negfir_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_negfir_pipeline_en.md
new file mode 100644
index 00000000000000..2f76e92bec5050
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_negfir_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_negfir_pipeline pipeline BertForSequenceClassification from negfir
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_negfir_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_negfir_pipeline` is a English model originally trained by negfir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_negfir_pipeline_en_5.5.0_3.0_1727222319717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_negfir_pipeline_en_5.5.0_3.0_1727222319717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_negfir_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_negfir_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_negfir_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|24.2 MB|
+
+## References
+
+https://huggingface.co/negfir/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_rayane321_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_rayane321_en.md
new file mode 100644
index 00000000000000..88683ccb30caa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_rayane321_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_rayane321 DistilBertForSequenceClassification from rayane321
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_rayane321
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_rayane321` is a English model originally trained by rayane321.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rayane321_en_5.5.0_3.0_1727137183273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rayane321_en_5.5.0_3.0_1727137183273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_rayane321|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rayane321/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_rayane321_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_rayane321_pipeline_en.md
new file mode 100644
index 00000000000000..9f4ae36eadf66f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_rayane321_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_rayane321_pipeline pipeline DistilBertForSequenceClassification from rayane321
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_rayane321_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_rayane321_pipeline` is a English model originally trained by rayane321.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rayane321_pipeline_en_5.5.0_3.0_1727137197535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rayane321_pipeline_en_5.5.0_3.0_1727137197535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_rayane321_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_rayane321_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_rayane321_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rayane321/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_robuved_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_robuved_en.md
new file mode 100644
index 00000000000000..f15fc245a967ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_robuved_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_robuved DistilBertForSequenceClassification from robuved
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_robuved
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_robuved` is a English model originally trained by robuved.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_robuved_en_5.5.0_3.0_1727154839959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_robuved_en_5.5.0_3.0_1727154839959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_robuved|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/robuved/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline_en.md
new file mode 100644
index 00000000000000..bdbe6bed085306
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline pipeline DistilBertForSequenceClassification from wy3106714391
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline` is a English model originally trained by wy3106714391.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline_en_5.5.0_3.0_1727164164348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline_en_5.5.0_3.0_1727164164348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_wy3106714391_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wy3106714391/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_en.md
new file mode 100644
index 00000000000000..8a0f80bce0ebb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000 DistilBertForSequenceClassification from atsstagram
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000` is a English model originally trained by atsstagram.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_en_5.5.0_3.0_1727137041067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_en_5.5.0_3.0_1727137041067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/atsstagram/distilbert-base-uncased-finetuned-emotion-balanced-1000plus3000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline_en.md
new file mode 100644
index 00000000000000..fea01fc1c3d777
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline pipeline DistilBertForSequenceClassification from atsstagram
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline` is a English model originally trained by atsstagram.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline_en_5.5.0_3.0_1727137054474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline_en_5.5.0_3.0_1727137054474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_balanced_1000plus3000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/atsstagram/distilbert-base-uncased-finetuned-emotion-balanced-1000plus3000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_camaganu_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_camaganu_en.md
new file mode 100644
index 00000000000000..96985f76f4260b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_camaganu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_camaganu DistilBertForSequenceClassification from camaganu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_camaganu
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_camaganu` is a English model originally trained by camaganu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_camaganu_en_5.5.0_3.0_1727164765994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_camaganu_en_5.5.0_3.0_1727164765994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_camaganu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/camaganu/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_camaganu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_camaganu_pipeline_en.md
new file mode 100644
index 00000000000000..54394f87b3119c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_camaganu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_camaganu_pipeline pipeline DistilBertForSequenceClassification from camaganu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_camaganu_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_camaganu_pipeline` is a English model originally trained by camaganu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_camaganu_pipeline_en_5.5.0_3.0_1727164778657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_camaganu_pipeline_en_5.5.0_3.0_1727164778657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_camaganu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_camaganu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_camaganu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/camaganu/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_randomchar_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_randomchar_en.md
new file mode 100644
index 00000000000000..6276cceb618c33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_randomchar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_randomchar DistilBertForSequenceClassification from RandomChar
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_randomchar
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_randomchar` is a English model originally trained by RandomChar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_randomchar_en_5.5.0_3.0_1727164264856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_randomchar_en_5.5.0_3.0_1727164264856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_randomchar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RandomChar/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_ryli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_ryli_pipeline_en.md
new file mode 100644
index 00000000000000..e5bf957c48e1e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_ryli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ryli_pipeline pipeline DistilBertForSequenceClassification from ryli
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ryli_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ryli_pipeline` is a English model originally trained by ryli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryli_pipeline_en_5.5.0_3.0_1727137068000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryli_pipeline_en_5.5.0_3.0_1727137068000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ryli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ryli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ryli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ryli/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_transformersbook_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_transformersbook_en.md
new file mode 100644
index 00000000000000..2f149cd6dd67b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_transformersbook_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_transformersbook DistilBertForSequenceClassification from transformersbook
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_transformersbook
+date: 2024-09-24
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_transformersbook` is a English model originally trained by transformersbook.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_transformersbook_en_5.5.0_3.0_1727155017957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_transformersbook_en_5.5.0_3.0_1727155017957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_transformersbook|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/transformersbook/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline_en.md
new file mode 100644
index 00000000000000..05d9944e13a7d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline pipeline DistilBertForSequenceClassification from hcyying
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline` is a English model originally trained by hcyying.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline_en_5.5.0_3.0_1727155031131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline_en_5.5.0_3.0_1727155031131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_transformersbook_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hcyying/distilbert-base-uncased-finetuned-emotion-transformersbook
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..1831324c346c39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline_en_5.5.0_3.0_1727164160521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline_en_5.5.0_3.0_1727164160521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_6e4exps_0strandom42sd_ut72ut5_plprefix0stlarge42_simsp100_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_6e4exps_0strandom42sd_ut72ut5_PLPrefix0stlarge42_simsp100_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline_en.md
new file mode 100644
index 00000000000000..8e8c5500cf7252
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline_en_5.5.0_3.0_1727164391704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline_en_5.5.0_3.0_1727164391704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1largepfxnf_simsp300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st13sd_ut72ut1largePfxNf_simsp300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..aa963f71c116aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en_5.5.0_3.0_1727164575541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline_en_5.5.0_3.0_1727164575541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge_simsp100_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st19sd_ut72ut5_PLPrefix0stlarge_simsp100_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp_en.md
new file mode 100644
index 00000000000000..b5e482213759c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp_en_5.5.0_3.0_1727154385187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp_en_5.5.0_3.0_1727154385187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1large30pfxnf_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st30sd_ut72ut1large30PfxNf_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..304e1f09e5fcda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline_en_5.5.0_3.0_1727137502942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline_en_5.5.0_3.0_1727137502942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge103_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1_PLPrefix0stlarge103_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline_en.md
new file mode 100644
index 00000000000000..a6b93f7844af2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline_en_5.5.0_3.0_1727154384494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline_en_5.5.0_3.0_1727154384494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut5_plprefix0stlarge42_simsp_clean4sd_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut5_PLPrefix0stlarge42_simsp_clean4sd
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_coping_replies_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_coping_replies_pipeline_en.md
new file mode 100644
index 00000000000000..e3582f39c837a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_coping_replies_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_coping_replies_pipeline pipeline DistilBertForSequenceClassification from coping-appraisal
+author: John Snow Labs
+name: distilbert_coping_replies_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_coping_replies_pipeline` is a English model originally trained by coping-appraisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_coping_replies_pipeline_en_5.5.0_3.0_1727154284313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_coping_replies_pipeline_en_5.5.0_3.0_1727154284313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_coping_replies_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_coping_replies_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_coping_replies_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/coping-appraisal/distilbert-coping-replies
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_ebit_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_ebit_en.md
new file mode 100644
index 00000000000000..700229f0fde8b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_ebit_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_ebit DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: distilbert_ebit
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_ebit` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_ebit_en_5.5.0_3.0_1727164524124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_ebit_en_5.5.0_3.0_1727164524124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_ebit|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/lenguyen/distilbert_EBIT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_finetuned_hatespeech_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_finetuned_hatespeech_pipeline_en.md
new file mode 100644
index 00000000000000..5de5d96e55c7ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_finetuned_hatespeech_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_hatespeech_pipeline pipeline DistilBertForSequenceClassification from ayln
+author: John Snow Labs
+name: distilbert_finetuned_hatespeech_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_hatespeech_pipeline` is a English model originally trained by ayln.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_hatespeech_pipeline_en_5.5.0_3.0_1727164484409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_hatespeech_pipeline_en_5.5.0_3.0_1727164484409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_hatespeech_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_hatespeech_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_hatespeech_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ayln/distilbert_finetuned_hatespeech
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_imdb_padding50model_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_imdb_padding50model_en.md
new file mode 100644
index 00000000000000..406df018df71dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_imdb_padding50model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_imdb_padding50model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_imdb_padding50model
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_padding50model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_padding50model_en_5.5.0_3.0_1727154292538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_padding50model_en_5.5.0_3.0_1727154292538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_padding50model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_imdb_padding50model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_imdb_padding50model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_imdb_padding50model_pipeline_en.md
new file mode 100644
index 00000000000000..a29771514a007a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_imdb_padding50model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_padding50model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_imdb_padding50model_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_padding50model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_padding50model_pipeline_en_5.5.0_3.0_1727154306597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_padding50model_pipeline_en_5.5.0_3.0_1727154306597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_padding50model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_padding50model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_padding50model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_imdb_padding50model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_lr_cosine_epoch_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_lr_cosine_epoch_5_pipeline_en.md
new file mode 100644
index 00000000000000..abfeb2509ea67a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_lr_cosine_epoch_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_lr_cosine_epoch_5_pipeline pipeline DistilBertForSequenceClassification from K-kiron
+author: John Snow Labs
+name: distilbert_lr_cosine_epoch_5_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_lr_cosine_epoch_5_pipeline` is a English model originally trained by K-kiron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_lr_cosine_epoch_5_pipeline_en_5.5.0_3.0_1727137395233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_lr_cosine_epoch_5_pipeline_en_5.5.0_3.0_1727137395233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_lr_cosine_epoch_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_lr_cosine_epoch_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_lr_cosine_epoch_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/K-kiron/distilbert-lr-cosine-epoch-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_ndd_html_content_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_ndd_html_content_pipeline_en.md
new file mode 100644
index 00000000000000..e995ec8b7f7248
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_ndd_html_content_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_ndd_html_content_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: distilbert_ndd_html_content_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_ndd_html_content_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_ndd_html_content_pipeline_en_5.5.0_3.0_1727204801300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_ndd_html_content_pipeline_en_5.5.0_3.0_1727204801300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_ndd_html_content_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_ndd_html_content_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_ndd_html_content_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/distilBERT-NDD.html.content
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_on_polarity_yelp_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_on_polarity_yelp_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..92dd3d07b20ab6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_on_polarity_yelp_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_on_polarity_yelp_reviews_pipeline pipeline DistilBertForSequenceClassification from BexRedpill
+author: John Snow Labs
+name: distilbert_on_polarity_yelp_reviews_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_on_polarity_yelp_reviews_pipeline` is a English model originally trained by BexRedpill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_on_polarity_yelp_reviews_pipeline_en_5.5.0_3.0_1727204801364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_on_polarity_yelp_reviews_pipeline_en_5.5.0_3.0_1727204801364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_on_polarity_yelp_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_on_polarity_yelp_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_on_polarity_yelp_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BexRedpill/distilbert-on-polarity-yelp-reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline_en.md
new file mode 100644
index 00000000000000..c76f3e07f2aa3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline_en_5.5.0_3.0_1727154979697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline_en_5.5.0_3.0_1727154979697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_mrpc_96_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_mrpc_96
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256_en.md
new file mode 100644
index 00000000000000..1b68a1c002d51e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256_en_5.5.0_3.0_1727137282939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256_en_5.5.0_3.0_1727137282939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_stsb_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_stsb_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_mrpc_256_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_mrpc_256_en.md
new file mode 100644
index 00000000000000..4923a56f748167
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_mrpc_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_mrpc_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_mrpc_256
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_mrpc_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_mrpc_256_en_5.5.0_3.0_1727154906729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_mrpc_256_en_5.5.0_3.0_1727154906729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_mrpc_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_mrpc_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline_en.md
new file mode 100644
index 00000000000000..58954cce7cbacb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline_en_5.5.0_3.0_1727154910905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline_en_5.5.0_3.0_1727154910905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_mrpc_256_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_mrpc_256
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sentiment_en.md
new file mode 100644
index 00000000000000..89bdf48a367181
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sentiment_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English distilbert_sentiment DistilBertForSequenceClassification from AbeerAlbashiti
+author: John Snow Labs
+name: distilbert_sentiment
+date: 2024-09-24
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment` is a English model originally trained by AbeerAlbashiti.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_en_5.5.0_3.0_1727136956400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_en_5.5.0_3.0_1727136956400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/AbeerAlbashiti/distilbert-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sst5_padding0model_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sst5_padding0model_en.md
new file mode 100644
index 00000000000000..89483168db4d1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sst5_padding0model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sst5_padding0model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_sst5_padding0model
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst5_padding0model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst5_padding0model_en_5.5.0_3.0_1727154953564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst5_padding0model_en_5.5.0_3.0_1727154953564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst5_padding0model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_sst5_padding0model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sst5_padding0model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sst5_padding0model_pipeline_en.md
new file mode 100644
index 00000000000000..b25df17ebbd514
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sst5_padding0model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sst5_padding0model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_sst5_padding0model_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst5_padding0model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst5_padding0model_pipeline_en_5.5.0_3.0_1727154968746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst5_padding0model_pipeline_en_5.5.0_3.0_1727154968746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sst5_padding0model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sst5_padding0model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst5_padding0model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_sst5_padding0model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_uncased_newsqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_uncased_newsqa_pipeline_en.md
new file mode 100644
index 00000000000000..d4a2895dcd18fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_uncased_newsqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_uncased_newsqa_pipeline pipeline DistilBertForQuestionAnswering from Prasetyow12
+author: John Snow Labs
+name: distilbert_uncased_newsqa_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_uncased_newsqa_pipeline` is a English model originally trained by Prasetyow12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_uncased_newsqa_pipeline_en_5.5.0_3.0_1727219916490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_uncased_newsqa_pipeline_en_5.5.0_3.0_1727219916490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_uncased_newsqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_uncased_newsqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_uncased_newsqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Prasetyow12/distilbert-uncased-newsqa
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_finetuned_wikitext2_0409nnn_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_finetuned_wikitext2_0409nnn_en.md
new file mode 100644
index 00000000000000..0a946a03cc9132
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_finetuned_wikitext2_0409nnn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_wikitext2_0409nnn RoBertaEmbeddings from ntust0
+author: John Snow Labs
+name: distilroberta_base_finetuned_wikitext2_0409nnn
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_wikitext2_0409nnn` is a English model originally trained by ntust0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_0409nnn_en_5.5.0_3.0_1727168787663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_0409nnn_en_5.5.0_3.0_1727168787663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_wikitext2_0409nnn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/ntust0/distilroberta-base-finetuned-wikitext2-0409nnn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_ft_4chan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_ft_4chan_pipeline_en.md
new file mode 100644
index 00000000000000..b60b762a24f2cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_ft_4chan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_ft_4chan_pipeline pipeline RoBertaEmbeddings from jkruk
+author: John Snow Labs
+name: distilroberta_base_ft_4chan_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ft_4chan_pipeline` is a English model originally trained by jkruk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_4chan_pipeline_en_5.5.0_3.0_1727168963458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_4chan_pipeline_en_5.5.0_3.0_1727168963458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_ft_4chan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_ft_4chan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_4chan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-4chan
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-e5_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-e5_base_pipeline_en.md
new file mode 100644
index 00000000000000..d82525c48b2872
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-e5_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English e5_base_pipeline pipeline E5Embeddings from intfloat
+author: John Snow Labs
+name: e5_base_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_base_pipeline` is a English model originally trained by intfloat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_base_pipeline_en_5.5.0_3.0_1727217873798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_base_pipeline_en_5.5.0_3.0_1727217873798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("e5_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("e5_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|258.6 MB|
+
+## References
+
+https://huggingface.co/intfloat/e5-base
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-e5_large_en.md b/docs/_posts/ahmedlone127/2024-09-24-e5_large_en.md
new file mode 100644
index 00000000000000..262cad79db1451
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-e5_large_en.md
@@ -0,0 +1,73 @@
+---
+layout: model
+title: E5 Large Sentence Embeddings
+author: John Snow Labs
+name: e5_large
+date: 2024-09-24
+tags: [en, open_source, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: E5Embeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_large_en_5.5.0_3.0_1727217963878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_large_en_5.5.0_3.0_1727217963878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[E5]|
+|Language:|en|
+|Size:|796.1 MB|
+
+## References
+
+References
+
+https://huggingface.co/intfloat/e5-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-e5_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-e5_large_pipeline_en.md
new file mode 100644
index 00000000000000..16e365f85ce24d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-e5_large_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English e5_large_pipeline pipeline E5Embeddings from intfloat
+author: John Snow Labs
+name: e5_large_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_large_pipeline` is a English model originally trained by intfloat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_large_pipeline_en_5.5.0_3.0_1727218193373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_large_pipeline_en_5.5.0_3.0_1727218193373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("e5_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("e5_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|796.1 MB|
+
+## References
+
+https://huggingface.co/intfloat/e5-large
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-e5_small_en.md b/docs/_posts/ahmedlone127/2024-09-24-e5_small_en.md
new file mode 100644
index 00000000000000..c58797cf36a888
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-e5_small_en.md
@@ -0,0 +1,67 @@
+---
+layout: model
+title: E5 Small Sentence Embeddings
+author: John Snow Labs
+name: e5_small
+date: 2024-09-24
+tags: [en, open_source, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: E5Embeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_small_en_5.5.0_3.0_1727217734668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_small_en_5.5.0_3.0_1727217734668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[E5]|
+|Language:|en|
+|Size:|79.9 MB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-e5_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-e5_small_pipeline_en.md
new file mode 100644
index 00000000000000..f21e17a3e47cf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-e5_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English e5_small_pipeline pipeline E5Embeddings from intfloat
+author: John Snow Labs
+name: e5_small_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_small_pipeline` is a English model originally trained by intfloat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_small_pipeline_en_5.5.0_3.0_1727217757925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_small_pipeline_en_5.5.0_3.0_1727217757925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("e5_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("e5_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|79.9 MB|
+
+## References
+
+https://huggingface.co/intfloat/e5-small
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-email_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-email_classification_pipeline_en.md
new file mode 100644
index 00000000000000..21cfce4a781bcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-email_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English email_classification_pipeline pipeline RoBertaForSequenceClassification from arya555
+author: John Snow Labs
+name: email_classification_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`email_classification_pipeline` is a English model originally trained by arya555.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/email_classification_pipeline_en_5.5.0_3.0_1727171756827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/email_classification_pipeline_en_5.5.0_3.0_1727171756827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("email_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("email_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|email_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.2 MB|
+
+## References
+
+https://huggingface.co/arya555/email_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-environmentalbert_water_en.md b/docs/_posts/ahmedlone127/2024-09-24-environmentalbert_water_en.md
new file mode 100644
index 00000000000000..ddadd19d360e3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-environmentalbert_water_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English environmentalbert_water RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: environmentalbert_water
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`environmentalbert_water` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/environmentalbert_water_en_5.5.0_3.0_1727168183583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/environmentalbert_water_en_5.5.0_3.0_1727168183583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|environmentalbert_water|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/EnvironmentalBERT-water
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-environmentalbert_water_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-environmentalbert_water_pipeline_en.md
new file mode 100644
index 00000000000000..a857a45ce8d21e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-environmentalbert_water_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English environmentalbert_water_pipeline pipeline RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: environmentalbert_water_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`environmentalbert_water_pipeline` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/environmentalbert_water_pipeline_en_5.5.0_3.0_1727168198845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/environmentalbert_water_pipeline_en_5.5.0_3.0_1727168198845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("environmentalbert_water_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("environmentalbert_water_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|environmentalbert_water_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/EnvironmentalBERT-water
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finbert_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finbert_ner_pipeline_en.md
new file mode 100644
index 00000000000000..16749d41471e8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finbert_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finbert_ner_pipeline pipeline BertForTokenClassification from Rupesh2
+author: John Snow Labs
+name: finbert_ner_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_ner_pipeline` is a English model originally trained by Rupesh2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_ner_pipeline_en_5.5.0_3.0_1727196344092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_ner_pipeline_en_5.5.0_3.0_1727196344092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finbert_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finbert_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Rupesh2/finbert-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuned_bert_policy_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuned_bert_policy_classifier_en.md
new file mode 100644
index 00000000000000..d7bc6d156bc546
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuned_bert_policy_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_bert_policy_classifier BertForSequenceClassification from aryaniyaps
+author: John Snow Labs
+name: finetuned_bert_policy_classifier
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_policy_classifier` is a English model originally trained by aryaniyaps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_policy_classifier_en_5.5.0_3.0_1727219004416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_policy_classifier_en_5.5.0_3.0_1727219004416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_policy_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/aryaniyaps/finetuned-bert-policy-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuned_bert_policy_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuned_bert_policy_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..9a0549ad146089
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuned_bert_policy_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_bert_policy_classifier_pipeline pipeline BertForSequenceClassification from aryaniyaps
+author: John Snow Labs
+name: finetuned_bert_policy_classifier_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_policy_classifier_pipeline` is a English model originally trained by aryaniyaps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_policy_classifier_pipeline_en_5.5.0_3.0_1727219026231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_policy_classifier_pipeline_en_5.5.0_3.0_1727219026231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bert_policy_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bert_policy_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_policy_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/aryaniyaps/finetuned-bert-policy-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuned_demo_2_shardev_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuned_demo_2_shardev_pipeline_en.md
new file mode 100644
index 00000000000000..4d41b680b6ad15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuned_demo_2_shardev_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_demo_2_shardev_pipeline pipeline DistilBertForSequenceClassification from Shardev
+author: John Snow Labs
+name: finetuned_demo_2_shardev_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_demo_2_shardev_pipeline` is a English model originally trained by Shardev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_shardev_pipeline_en_5.5.0_3.0_1727164164033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_shardev_pipeline_en_5.5.0_3.0_1727164164033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_demo_2_shardev_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_demo_2_shardev_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_demo_2_shardev_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Shardev/finetuned_demo_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuned_distilroberta_base_semeval_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuned_distilroberta_base_semeval_en.md
new file mode 100644
index 00000000000000..c3877150425537
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuned_distilroberta_base_semeval_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_distilroberta_base_semeval RoBertaForSequenceClassification from Youssef320
+author: John Snow Labs
+name: finetuned_distilroberta_base_semeval
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilroberta_base_semeval` is a English model originally trained by Youssef320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilroberta_base_semeval_en_5.5.0_3.0_1727172120857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilroberta_base_semeval_en_5.5.0_3.0_1727172120857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilroberta_base_semeval|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/Youssef320/finetuned-distilroberta-base-SemEval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetunedemotionmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetunedemotionmodel_pipeline_en.md
new file mode 100644
index 00000000000000..fb1ac65ebc5a42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetunedemotionmodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetunedemotionmodel_pipeline pipeline DistilBertForSequenceClassification from Rishabh3108
+author: John Snow Labs
+name: finetunedemotionmodel_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetunedemotionmodel_pipeline` is a English model originally trained by Rishabh3108.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetunedemotionmodel_pipeline_en_5.5.0_3.0_1727164255965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetunedemotionmodel_pipeline_en_5.5.0_3.0_1727164255965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetunedemotionmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetunedemotionmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetunedemotionmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Rishabh3108/finetunedemotionmodel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_kaggle_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_kaggle_en.md
new file mode 100644
index 00000000000000..09b587e0b71ff5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_kaggle_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_kaggle DistilBertForSequenceClassification from Munshid123
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_kaggle
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_kaggle` is a English model originally trained by Munshid123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_kaggle_en_5.5.0_3.0_1727154719128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_kaggle_en_5.5.0_3.0_1727154719128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_kaggle|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Munshid123/finetuning-sentiment-model-3000-kaggle
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_aadrik_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_aadrik_pipeline_en.md
new file mode 100644
index 00000000000000..cbfc88fcc85464
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_aadrik_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_aadrik_pipeline pipeline DistilBertForSequenceClassification from aadrik
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_aadrik_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aadrik_pipeline` is a English model originally trained by aadrik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aadrik_pipeline_en_5.5.0_3.0_1727164275627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aadrik_pipeline_en_5.5.0_3.0_1727164275627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_aadrik_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_aadrik_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_aadrik_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aadrik/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_dnzy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_dnzy_pipeline_en.md
new file mode 100644
index 00000000000000..7af331dc4e4477
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_dnzy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_dnzy_pipeline pipeline DistilBertForSequenceClassification from DNZY
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_dnzy_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dnzy_pipeline` is a English model originally trained by DNZY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dnzy_pipeline_en_5.5.0_3.0_1727164741645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dnzy_pipeline_en_5.5.0_3.0_1727164741645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_dnzy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_dnzy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_dnzy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DNZY/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_jbnextnext_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_jbnextnext_pipeline_en.md
new file mode 100644
index 00000000000000..dd3d95774d2a09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_samples_jbnextnext_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_jbnextnext_pipeline pipeline DistilBertForSequenceClassification from jbnextnext
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_jbnextnext_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jbnextnext_pipeline` is a English model originally trained by jbnextnext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jbnextnext_pipeline_en_5.5.0_3.0_1727155056284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jbnextnext_pipeline_en_5.5.0_3.0_1727155056284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_jbnextnext_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_jbnextnext_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_jbnextnext_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jbnextnext/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3500_samples_train_kurtbadelt_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3500_samples_train_kurtbadelt_en.md
new file mode 100644
index 00000000000000..0c1e159c8c93e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3500_samples_train_kurtbadelt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3500_samples_train_kurtbadelt DistilBertForSequenceClassification from KurtBadelt
+author: John Snow Labs
+name: finetuning_sentiment_model_3500_samples_train_kurtbadelt
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3500_samples_train_kurtbadelt` is a English model originally trained by KurtBadelt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3500_samples_train_kurtbadelt_en_5.5.0_3.0_1727154263260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3500_samples_train_kurtbadelt_en_5.5.0_3.0_1727154263260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3500_samples_train_kurtbadelt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KurtBadelt/finetuning-sentiment-model-3500-samples-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_fifa_15766_samples_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_fifa_15766_samples_en.md
new file mode 100644
index 00000000000000..a4a1bbfe19ce37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_fifa_15766_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_fifa_15766_samples DistilBertForSequenceClassification from mdelrosa13
+author: John Snow Labs
+name: finetuning_sentiment_model_fifa_15766_samples
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_fifa_15766_samples` is a English model originally trained by mdelrosa13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_fifa_15766_samples_en_5.5.0_3.0_1727154813159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_fifa_15766_samples_en_5.5.0_3.0_1727154813159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_fifa_15766_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mdelrosa13/finetuning-sentiment-model-fifa-15766-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-food_not_food_distill_bert_en.md b/docs/_posts/ahmedlone127/2024-09-24-food_not_food_distill_bert_en.md
new file mode 100644
index 00000000000000..3c8db4e3fa20b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-food_not_food_distill_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English food_not_food_distill_bert DistilBertForSequenceClassification from ImpactTom6819
+author: John Snow Labs
+name: food_not_food_distill_bert
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`food_not_food_distill_bert` is a English model originally trained by ImpactTom6819.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/food_not_food_distill_bert_en_5.5.0_3.0_1727205005327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/food_not_food_distill_bert_en_5.5.0_3.0_1727205005327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|food_not_food_distill_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ImpactTom6819/food_not_food_distill-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-food_not_food_distill_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-food_not_food_distill_bert_pipeline_en.md
new file mode 100644
index 00000000000000..99e25a66a36f01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-food_not_food_distill_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English food_not_food_distill_bert_pipeline pipeline DistilBertForSequenceClassification from ImpactTom6819
+author: John Snow Labs
+name: food_not_food_distill_bert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`food_not_food_distill_bert_pipeline` is a English model originally trained by ImpactTom6819.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/food_not_food_distill_bert_pipeline_en_5.5.0_3.0_1727205019453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/food_not_food_distill_bert_pipeline_en_5.5.0_3.0_1727205019453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("food_not_food_distill_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("food_not_food_distill_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|food_not_food_distill_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ImpactTom6819/food_not_food_distill-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-fullcombined_manifesto10000_en.md b/docs/_posts/ahmedlone127/2024-09-24-fullcombined_manifesto10000_en.md
new file mode 100644
index 00000000000000..7f4ce92bb9fe52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-fullcombined_manifesto10000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fullcombined_manifesto10000 RoBertaForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: fullcombined_manifesto10000
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fullcombined_manifesto10000` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fullcombined_manifesto10000_en_5.5.0_3.0_1727171869930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fullcombined_manifesto10000_en_5.5.0_3.0_1727171869930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fullcombined_manifesto10000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/fullCombined-manifesto10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-fullcombined_manifesto10000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-fullcombined_manifesto10000_pipeline_en.md
new file mode 100644
index 00000000000000..6c3d877a79ca51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-fullcombined_manifesto10000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fullcombined_manifesto10000_pipeline pipeline RoBertaForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: fullcombined_manifesto10000_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fullcombined_manifesto10000_pipeline` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fullcombined_manifesto10000_pipeline_en_5.5.0_3.0_1727171893131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fullcombined_manifesto10000_pipeline_en_5.5.0_3.0_1727171893131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fullcombined_manifesto10000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fullcombined_manifesto10000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fullcombined_manifesto10000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/fullCombined-manifesto10000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-furina_en.md b/docs/_posts/ahmedlone127/2024-09-24-furina_en.md
new file mode 100644
index 00000000000000..54662528e5292b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-furina_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English furina XlmRoBertaEmbeddings from yihongLiu
+author: John Snow Labs
+name: furina
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina` is a English model originally trained by yihongLiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_en_5.5.0_3.0_1727209808625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_en_5.5.0_3.0_1727209808625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[xlm_roberta]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/yihongLiu/furina
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-furina_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-furina_pipeline_en.md
new file mode 100644
index 00000000000000..1dc2c83a5f5f6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-furina_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English furina_pipeline pipeline XlmRoBertaEmbeddings from yihongLiu
+author: John Snow Labs
+name: furina_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_pipeline` is a English model originally trained by yihongLiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_pipeline_en_5.5.0_3.0_1727209881517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_pipeline_en_5.5.0_3.0_1727209881517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("furina_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("furina_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/yihongLiu/furina
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-german_english_code_switching_bert_en.md b/docs/_posts/ahmedlone127/2024-09-24-german_english_code_switching_bert_en.md
new file mode 100644
index 00000000000000..1a7a476fce42c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-german_english_code_switching_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English german_english_code_switching_bert BertEmbeddings from igorsterner
+author: John Snow Labs
+name: german_english_code_switching_bert
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_english_code_switching_bert` is a English model originally trained by igorsterner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_english_code_switching_bert_en_5.5.0_3.0_1727220815162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_english_code_switching_bert_en_5.5.0_3.0_1727220815162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_english_code_switching_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|664.7 MB|
+
+## References
+
+https://huggingface.co/igorsterner/german-english-code-switching-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-german_english_code_switching_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-german_english_code_switching_bert_pipeline_en.md
new file mode 100644
index 00000000000000..a0917a247a894a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-german_english_code_switching_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English german_english_code_switching_bert_pipeline pipeline BertEmbeddings from igorsterner
+author: John Snow Labs
+name: german_english_code_switching_bert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_english_code_switching_bert_pipeline` is a English model originally trained by igorsterner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_english_code_switching_bert_pipeline_en_5.5.0_3.0_1727220848520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_english_code_switching_bert_pipeline_en_5.5.0_3.0_1727220848520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("german_english_code_switching_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("german_english_code_switching_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_english_code_switching_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|664.7 MB|
+
+## References
+
+https://huggingface.co/igorsterner/german-english-code-switching-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-hate_hate_balance_random3_seed1_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_balance_random3_seed1_bernice_en.md
new file mode 100644
index 00000000000000..534ae9ee51f926
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_balance_random3_seed1_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_random3_seed1_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random3_seed1_bernice
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random3_seed1_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed1_bernice_en_5.5.0_3.0_1727153045262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed1_bernice_en_5.5.0_3.0_1727153045262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random3_seed1_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|783.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed1-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-hate_hate_balance_random3_seed1_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_balance_random3_seed1_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..6654ba4b6ef657
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_balance_random3_seed1_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_random3_seed1_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random3_seed1_bernice_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random3_seed1_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed1_bernice_pipeline_en_5.5.0_3.0_1727153189704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed1_bernice_pipeline_en_5.5.0_3.0_1727153189704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_random3_seed1_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_random3_seed1_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random3_seed1_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed1-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-hate_hate_random1_seed2_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_random1_seed2_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 00000000000000..1f26fc8c80f02a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_random1_seed2_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random1_seed2_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random1_seed2_twitter_roberta_base_2022_154m
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random1_seed2_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed2_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1727171955647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed2_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1727171955647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random1_seed2_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random1_seed2-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..f9b6205cd4474b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1727171978817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1727171978817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random1_seed2_twitter_roberta_base_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random1_seed2-twitter-roberta-base-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-icebert_is.md b/docs/_posts/ahmedlone127/2024-09-24-icebert_is.md
new file mode 100644
index 00000000000000..4083b773b0582d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-icebert_is.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Icelandic icebert RoBertaEmbeddings from mideind
+author: John Snow Labs
+name: icebert
+date: 2024-09-24
+tags: [is, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: is
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`icebert` is a Icelandic model originally trained by mideind.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/icebert_is_5.5.0_3.0_1727216135268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/icebert_is_5.5.0_3.0_1727216135268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_lite_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|id|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/Wikidepia/indobert-lite-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-indobert_lite_squad_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-24-indobert_lite_squad_pipeline_id.md
new file mode 100644
index 00000000000000..c2b885ecca5f85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-indobert_lite_squad_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian indobert_lite_squad_pipeline pipeline BertForQuestionAnswering from Wikidepia
+author: John Snow Labs
+name: indobert_lite_squad_pipeline
+date: 2024-09-24
+tags: [id, open_source, pipeline, onnx]
+task: Question Answering
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_lite_squad_pipeline` is a Indonesian model originally trained by Wikidepia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_lite_squad_pipeline_id_5.5.0_3.0_1727206901687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_lite_squad_pipeline_id_5.5.0_3.0_1727206901687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indobert_lite_squad_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indobert_lite_squad_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_lite_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/Wikidepia/indobert-lite-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-jmedroberta_base_sentencepiece_ja.md b/docs/_posts/ahmedlone127/2024-09-24-jmedroberta_base_sentencepiece_ja.md
new file mode 100644
index 00000000000000..12adfbad41ad93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-jmedroberta_base_sentencepiece_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese jmedroberta_base_sentencepiece BertEmbeddings from alabnii
+author: John Snow Labs
+name: jmedroberta_base_sentencepiece
+date: 2024-09-24
+tags: [ja, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jmedroberta_base_sentencepiece` is a Japanese model originally trained by alabnii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jmedroberta_base_sentencepiece_ja_5.5.0_3.0_1727220944206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jmedroberta_base_sentencepiece_ja_5.5.0_3.0_1727220944206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kpfbert_korquad_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|425.1 MB|
+
+## References
+
+https://huggingface.co/eeeyounglee/kpfbert-korquad-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-kpfbert_korquad_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-kpfbert_korquad_1_pipeline_en.md
new file mode 100644
index 00000000000000..7e2243585c1af3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-kpfbert_korquad_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English kpfbert_korquad_1_pipeline pipeline BertForQuestionAnswering from eeeyounglee
+author: John Snow Labs
+name: kpfbert_korquad_1_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kpfbert_korquad_1_pipeline` is a English model originally trained by eeeyounglee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kpfbert_korquad_1_pipeline_en_5.5.0_3.0_1727176067447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kpfbert_korquad_1_pipeline_en_5.5.0_3.0_1727176067447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kpfbert_korquad_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kpfbert_korquad_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kpfbert_korquad_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|425.1 MB|
+
+## References
+
+https://huggingface.co/eeeyounglee/kpfbert-korquad-1
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-legalbert_large_1_7m_2_class_actions_en.md b/docs/_posts/ahmedlone127/2024-09-24-legalbert_large_1_7m_2_class_actions_en.md
new file mode 100644
index 00000000000000..cddba3e62a1f12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-legalbert_large_1_7m_2_class_actions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English legalbert_large_1_7m_2_class_actions BertForSequenceClassification from afsuarezg
+author: John Snow Labs
+name: legalbert_large_1_7m_2_class_actions
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legalbert_large_1_7m_2_class_actions` is a English model originally trained by afsuarezg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalbert_large_1_7m_2_class_actions_en_5.5.0_3.0_1727221908635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalbert_large_1_7m_2_class_actions_en_5.5.0_3.0_1727221908635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalbert_large_1_7m_2_class_actions|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/afsuarezg/legalbert-large-1.7M-2_class_actions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-legalbert_large_1_7m_2_class_actions_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-legalbert_large_1_7m_2_class_actions_pipeline_en.md
new file mode 100644
index 00000000000000..5396e465f0f928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-legalbert_large_1_7m_2_class_actions_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English legalbert_large_1_7m_2_class_actions_pipeline pipeline BertForSequenceClassification from afsuarezg
+author: John Snow Labs
+name: legalbert_large_1_7m_2_class_actions_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legalbert_large_1_7m_2_class_actions_pipeline` is a English model originally trained by afsuarezg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalbert_large_1_7m_2_class_actions_pipeline_en_5.5.0_3.0_1727221974056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalbert_large_1_7m_2_class_actions_pipeline_en_5.5.0_3.0_1727221974056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legalbert_large_1_7m_2_class_actions_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legalbert_large_1_7m_2_class_actions_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalbert_large_1_7m_2_class_actions_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/afsuarezg/legalbert-large-1.7M-2_class_actions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-less_300000_xlm_roberta_mmar_recipe_10_en.md b/docs/_posts/ahmedlone127/2024-09-24-less_300000_xlm_roberta_mmar_recipe_10_en.md
new file mode 100644
index 00000000000000..7ce9c45d9ec7c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-less_300000_xlm_roberta_mmar_recipe_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English less_300000_xlm_roberta_mmar_recipe_10 XlmRoBertaEmbeddings from CennetOguz
+author: John Snow Labs
+name: less_300000_xlm_roberta_mmar_recipe_10
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`less_300000_xlm_roberta_mmar_recipe_10` is a English model originally trained by CennetOguz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/less_300000_xlm_roberta_mmar_recipe_10_en_5.5.0_3.0_1727209434850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/less_300000_xlm_roberta_mmar_recipe_10_en_5.5.0_3.0_1727209434850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|less_300000_xlm_roberta_mmar_recipe_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[xlm_roberta]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/CennetOguz/less_300000_xlm_roberta_mmar_recipe_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-less_300000_xlm_roberta_mmar_recipe_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-less_300000_xlm_roberta_mmar_recipe_10_pipeline_en.md
new file mode 100644
index 00000000000000..de25cac91fa649
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-less_300000_xlm_roberta_mmar_recipe_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English less_300000_xlm_roberta_mmar_recipe_10_pipeline pipeline XlmRoBertaEmbeddings from CennetOguz
+author: John Snow Labs
+name: less_300000_xlm_roberta_mmar_recipe_10_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`less_300000_xlm_roberta_mmar_recipe_10_pipeline` is a English model originally trained by CennetOguz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/less_300000_xlm_roberta_mmar_recipe_10_pipeline_en_5.5.0_3.0_1727209488775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/less_300000_xlm_roberta_mmar_recipe_10_pipeline_en_5.5.0_3.0_1727209488775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("less_300000_xlm_roberta_mmar_recipe_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("less_300000_xlm_roberta_mmar_recipe_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|less_300000_xlm_roberta_mmar_recipe_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/CennetOguz/less_300000_xlm_roberta_mmar_recipe_10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-lnmt15_en.md b/docs/_posts/ahmedlone127/2024-09-24-lnmt15_en.md
new file mode 100644
index 00000000000000..23a811e4d04498
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-lnmt15_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lnmt15 DistilBertForSequenceClassification from carmenlozano
+author: John Snow Labs
+name: lnmt15
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lnmt15` is a English model originally trained by carmenlozano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lnmt15_en_5.5.0_3.0_1727154835592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lnmt15_en_5.5.0_3.0_1727154835592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lnmt15|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/carmenlozano/lnmt15
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-mefmqgve_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-mefmqgve_pipeline_en.md
new file mode 100644
index 00000000000000..f9f49c85cde4a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-mefmqgve_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mefmqgve_pipeline pipeline DistilBertForSequenceClassification from chernandezc
+author: John Snow Labs
+name: mefmqgve_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mefmqgve_pipeline` is a English model originally trained by chernandezc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mefmqgve_pipeline_en_5.5.0_3.0_1727154653152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mefmqgve_pipeline_en_5.5.0_3.0_1727154653152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mefmqgve_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mefmqgve_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mefmqgve_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chernandezc/mefmqgve
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-mentbert_en.md b/docs/_posts/ahmedlone127/2024-09-24-mentbert_en.md
new file mode 100644
index 00000000000000..285aba8923595f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-mentbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mentbert BertForSequenceClassification from reab5555
+author: John Snow Labs
+name: mentbert
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mentbert` is a English model originally trained by reab5555.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mentbert_en_5.5.0_3.0_1727219025111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mentbert_en_5.5.0_3.0_1727219025111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mentbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/reab5555/mentBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-mentbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-mentbert_pipeline_en.md
new file mode 100644
index 00000000000000..47077e1d5e43dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-mentbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mentbert_pipeline pipeline BertForSequenceClassification from reab5555
+author: John Snow Labs
+name: mentbert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mentbert_pipeline` is a English model originally trained by reab5555.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mentbert_pipeline_en_5.5.0_3.0_1727219051028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mentbert_pipeline_en_5.5.0_3.0_1727219051028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mentbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mentbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mentbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/reab5555/mentBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-model_one_ashleyinust_en.md b/docs/_posts/ahmedlone127/2024-09-24-model_one_ashleyinust_en.md
new file mode 100644
index 00000000000000..8e108b8f8fda51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-model_one_ashleyinust_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_one_ashleyinust DistilBertForSequenceClassification from Ashleyinust
+author: John Snow Labs
+name: model_one_ashleyinust
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_one_ashleyinust` is a English model originally trained by Ashleyinust.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_one_ashleyinust_en_5.5.0_3.0_1727164141906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_one_ashleyinust_en_5.5.0_3.0_1727164141906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelocanal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Antonio49/ModeloCanal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-modelocanal_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-24-modelocanal_pipeline_es.md
new file mode 100644
index 00000000000000..3841510ad1d7f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-modelocanal_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish modelocanal_pipeline pipeline BertForQuestionAnswering from Antonio49
+author: John Snow Labs
+name: modelocanal_pipeline
+date: 2024-09-24
+tags: [es, open_source, pipeline, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelocanal_pipeline` is a Castilian, Spanish model originally trained by Antonio49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelocanal_pipeline_es_5.5.0_3.0_1727207087231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelocanal_pipeline_es_5.5.0_3.0_1727207087231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("modelocanal_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("modelocanal_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelocanal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Antonio49/ModeloCanal
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-multi_label_classification_venkatarajendra_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-multi_label_classification_venkatarajendra_pipeline_en.md
new file mode 100644
index 00000000000000..67f5daaac44ab9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-multi_label_classification_venkatarajendra_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English multi_label_classification_venkatarajendra_pipeline pipeline RoBertaForSequenceClassification from venkatarajendra
+author: John Snow Labs
+name: multi_label_classification_venkatarajendra_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_label_classification_venkatarajendra_pipeline` is a English model originally trained by venkatarajendra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_label_classification_venkatarajendra_pipeline_en_5.5.0_3.0_1727171524292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_label_classification_venkatarajendra_pipeline_en_5.5.0_3.0_1727171524292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multi_label_classification_venkatarajendra_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multi_label_classification_venkatarajendra_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_label_classification_venkatarajendra_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|457.1 MB|
+
+## References
+
+https://huggingface.co/venkatarajendra/multi-label-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-ner_ner_random2_seed2_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-24-ner_ner_random2_seed2_roberta_large_en.md
new file mode 100644
index 00000000000000..a95a6d13cecc77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-ner_ner_random2_seed2_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_ner_random2_seed2_roberta_large RoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random2_seed2_roberta_large
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_ner_random2_seed2_roberta_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed2_roberta_large_en_5.5.0_3.0_1727151411205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed2_roberta_large_en_5.5.0_3.0_1727151411205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random2_seed2_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random2_seed2-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-nlp2_base_3e_5_en.md b/docs/_posts/ahmedlone127/2024-09-24-nlp2_base_3e_5_en.md
new file mode 100644
index 00000000000000..4234292ba2336b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-nlp2_base_3e_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp2_base_3e_5 DistilBertForSequenceClassification from VRT-2428211
+author: John Snow Labs
+name: nlp2_base_3e_5
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_3e_5` is a English model originally trained by VRT-2428211.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_en_5.5.0_3.0_1727154918792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_en_5.5.0_3.0_1727154918792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_3e_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VRT-2428211/NLP2_Base_3e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-nlp2_base_3e_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-nlp2_base_3e_5_pipeline_en.md
new file mode 100644
index 00000000000000..4a990b965d2d66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-nlp2_base_3e_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp2_base_3e_5_pipeline pipeline DistilBertForSequenceClassification from VRT-2428211
+author: John Snow Labs
+name: nlp2_base_3e_5_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_3e_5_pipeline` is a English model originally trained by VRT-2428211.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_pipeline_en_5.5.0_3.0_1727154932055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_5_pipeline_en_5.5.0_3.0_1727154932055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp2_base_3e_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp2_base_3e_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_3e_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VRT-2428211/NLP2_Base_3e-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-norwegian_repeats_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-norwegian_repeats_pipeline_en.md
new file mode 100644
index 00000000000000..c9f67c7f15c673
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-norwegian_repeats_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English norwegian_repeats_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: norwegian_repeats_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norwegian_repeats_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_repeats_pipeline_en_5.5.0_3.0_1727174699382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_repeats_pipeline_en_5.5.0_3.0_1727174699382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("norwegian_repeats_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("norwegian_repeats_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norwegian_repeats_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/no_repeats
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-opus_maltese_arabic_english_en.md b/docs/_posts/ahmedlone127/2024-09-24-opus_maltese_arabic_english_en.md
new file mode 100644
index 00000000000000..4098b18d135b34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-opus_maltese_arabic_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_arabic_english MarianTransformer from finnstrom3693
+author: John Snow Labs
+name: opus_maltese_arabic_english
+date: 2024-09-24
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_arabic_english` is a English model originally trained by finnstrom3693.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_en_5.5.0_3.0_1727166100814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_en_5.5.0_3.0_1727166100814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_arabic_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|335.5 MB|
+
+## References
+
+https://huggingface.co/finnstrom3693/opus-mt-ar-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-opus_maltese_english_indonesian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-opus_maltese_english_indonesian_pipeline_en.md
new file mode 100644
index 00000000000000..a69b093ece070a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-opus_maltese_english_indonesian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_indonesian_pipeline pipeline MarianTransformer from finnstrom3693
+author: John Snow Labs
+name: opus_maltese_english_indonesian_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_indonesian_pipeline` is a English model originally trained by finnstrom3693.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_pipeline_en_5.5.0_3.0_1727166577448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_pipeline_en_5.5.0_3.0_1727166577448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_indonesian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_indonesian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_indonesian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|307.8 MB|
+
+## References
+
+https://huggingface.co/finnstrom3693/opus-mt-en-id
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-output_sonyy_en.md b/docs/_posts/ahmedlone127/2024-09-24-output_sonyy_en.md
new file mode 100644
index 00000000000000..77bb74b426b1ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-output_sonyy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English output_sonyy DistilBertForSequenceClassification from sonyy
+author: John Snow Labs
+name: output_sonyy
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_sonyy` is a English model originally trained by sonyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_sonyy_en_5.5.0_3.0_1727164667739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_sonyy_en_5.5.0_3.0_1727164667739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_sonyy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sonyy/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-patient_doctor_text_classifier_eng_en.md b/docs/_posts/ahmedlone127/2024-09-24-patient_doctor_text_classifier_eng_en.md
new file mode 100644
index 00000000000000..d808054f1f8117
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-patient_doctor_text_classifier_eng_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English patient_doctor_text_classifier_eng DistilBertForSequenceClassification from LukeGPT88
+author: John Snow Labs
+name: patient_doctor_text_classifier_eng
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`patient_doctor_text_classifier_eng` is a English model originally trained by LukeGPT88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_en_5.5.0_3.0_1727204907822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_en_5.5.0_3.0_1727204907822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patient_doctor_text_classifier_eng|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LukeGPT88/patient-doctor-text-classifier-eng
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-patient_doctor_text_classifier_eng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-patient_doctor_text_classifier_eng_pipeline_en.md
new file mode 100644
index 00000000000000..15709d42deeaf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-patient_doctor_text_classifier_eng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English patient_doctor_text_classifier_eng_pipeline pipeline DistilBertForSequenceClassification from LukeGPT88
+author: John Snow Labs
+name: patient_doctor_text_classifier_eng_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`patient_doctor_text_classifier_eng_pipeline` is a English model originally trained by LukeGPT88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_pipeline_en_5.5.0_3.0_1727204921327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_pipeline_en_5.5.0_3.0_1727204921327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("patient_doctor_text_classifier_eng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("patient_doctor_text_classifier_eng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patient_doctor_text_classifier_eng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LukeGPT88/patient-doctor-text-classifier-eng
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-prueba4_en.md b/docs/_posts/ahmedlone127/2024-09-24-prueba4_en.md
new file mode 100644
index 00000000000000..80f8a720a467d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-prueba4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English prueba4 RoBertaForSequenceClassification from Saul98lm
+author: John Snow Labs
+name: prueba4
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prueba4` is a English model originally trained by Saul98lm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prueba4_en_5.5.0_3.0_1727172004997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prueba4_en_5.5.0_3.0_1727172004997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prueba4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/Saul98lm/Prueba4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-python_code_comment_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-python_code_comment_classification_pipeline_en.md
new file mode 100644
index 00000000000000..76e74dbcebf851
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-python_code_comment_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English python_code_comment_classification_pipeline pipeline BertEmbeddings from ZarahShibli
+author: John Snow Labs
+name: python_code_comment_classification_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`python_code_comment_classification_pipeline` is a English model originally trained by ZarahShibli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/python_code_comment_classification_pipeline_en_5.5.0_3.0_1727161855350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/python_code_comment_classification_pipeline_en_5.5.0_3.0_1727161855350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("python_code_comment_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("python_code_comment_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|python_code_comment_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/ZarahShibli/python-code-comment-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-quiltnet_b_16_en.md b/docs/_posts/ahmedlone127/2024-09-24-quiltnet_b_16_en.md
new file mode 100644
index 00000000000000..e1a038cec6a2a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-quiltnet_b_16_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English quiltnet_b_16 CLIPForZeroShotClassification from wisdomik
+author: John Snow Labs
+name: quiltnet_b_16
+date: 2024-09-24
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quiltnet_b_16` is a English model originally trained by wisdomik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quiltnet_b_16_en_5.5.0_3.0_1727207720261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quiltnet_b_16_en_5.5.0_3.0_1727207720261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("quiltnet_b_16","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("quiltnet_b_16","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quiltnet_b_16|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|561.2 MB|
+
+## References
+
+https://huggingface.co/wisdomik/QuiltNet-B-16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-quiltnet_b_16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-quiltnet_b_16_pipeline_en.md
new file mode 100644
index 00000000000000..0a49e7afa32910
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-quiltnet_b_16_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English quiltnet_b_16_pipeline pipeline CLIPForZeroShotClassification from wisdomik
+author: John Snow Labs
+name: quiltnet_b_16_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quiltnet_b_16_pipeline` is a English model originally trained by wisdomik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quiltnet_b_16_pipeline_en_5.5.0_3.0_1727207751751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quiltnet_b_16_pipeline_en_5.5.0_3.0_1727207751751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("quiltnet_b_16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("quiltnet_b_16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quiltnet_b_16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|561.2 MB|
+
+## References
+
+https://huggingface.co/wisdomik/QuiltNet-B-16
+
+## Included Models
+
+- ImageAssembler
+- CLIPForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-rejection_detection_en.md b/docs/_posts/ahmedlone127/2024-09-24-rejection_detection_en.md
new file mode 100644
index 00000000000000..5580bf829837e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-rejection_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rejection_detection RoBertaForSequenceClassification from holistic-ai
+author: John Snow Labs
+name: rejection_detection
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rejection_detection` is a English model originally trained by holistic-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rejection_detection_en_5.5.0_3.0_1727211994868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rejection_detection_en_5.5.0_3.0_1727211994868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rejection_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/holistic-ai/rejection_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-rejection_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-rejection_detection_pipeline_en.md
new file mode 100644
index 00000000000000..d99e8706b7d3ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-rejection_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rejection_detection_pipeline pipeline RoBertaForSequenceClassification from holistic-ai
+author: John Snow Labs
+name: rejection_detection_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rejection_detection_pipeline` is a English model originally trained by holistic-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rejection_detection_pipeline_en_5.5.0_3.0_1727212010929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rejection_detection_pipeline_en_5.5.0_3.0_1727212010929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rejection_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rejection_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rejection_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/holistic-ai/rejection_detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-repo_31_5_mlops_zh0rg_en.md b/docs/_posts/ahmedlone127/2024-09-24-repo_31_5_mlops_zh0rg_en.md
new file mode 100644
index 00000000000000..f0e3c483717086
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-repo_31_5_mlops_zh0rg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English repo_31_5_mlops_zh0rg DistilBertForSequenceClassification from Zh0rg
+author: John Snow Labs
+name: repo_31_5_mlops_zh0rg
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`repo_31_5_mlops_zh0rg` is a English model originally trained by Zh0rg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repo_31_5_mlops_zh0rg_en_5.5.0_3.0_1727154615680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repo_31_5_mlops_zh0rg_en_5.5.0_3.0_1727154615680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repo_31_5_mlops_zh0rg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Zh0rg/repo-31-5-MLOps
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-results_deberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-results_deberta_pipeline_en.md
new file mode 100644
index 00000000000000..b9dd93af5b0b57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-results_deberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English results_deberta_pipeline pipeline DeBertaForSequenceClassification from Siddartha10
+author: John Snow Labs
+name: results_deberta_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_deberta_pipeline` is a English model originally trained by Siddartha10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_deberta_pipeline_en_5.5.0_3.0_1727162483793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_deberta_pipeline_en_5.5.0_3.0_1727162483793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("results_deberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("results_deberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_deberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|641.0 MB|
+
+## References
+
+https://huggingface.co/Siddartha10/results_deberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-robbert_v2_dutch_base_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2024-09-24-robbert_v2_dutch_base_finetuned_emotion_en.md
new file mode 100644
index 00000000000000..ba351b66968ff1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-robbert_v2_dutch_base_finetuned_emotion_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robbert_v2_dutch_base_finetuned_emotion RoBertaForSequenceClassification from antalvdb
+author: John Snow Labs
+name: robbert_v2_dutch_base_finetuned_emotion
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_v2_dutch_base_finetuned_emotion` is a English model originally trained by antalvdb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_v2_dutch_base_finetuned_emotion_en_5.5.0_3.0_1727211566914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_v2_dutch_base_finetuned_emotion_en_5.5.0_3.0_1727211566914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_v2_dutch_base_finetuned_emotion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.9 MB|
+
+## References
+
+https://huggingface.co/antalvdb/robbert-v2-dutch-base-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-robbert_v2_dutch_base_finetuned_emotion_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-robbert_v2_dutch_base_finetuned_emotion_pipeline_en.md
new file mode 100644
index 00000000000000..3aac848a351caf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-robbert_v2_dutch_base_finetuned_emotion_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robbert_v2_dutch_base_finetuned_emotion_pipeline pipeline RoBertaForSequenceClassification from antalvdb
+author: John Snow Labs
+name: robbert_v2_dutch_base_finetuned_emotion_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_v2_dutch_base_finetuned_emotion_pipeline` is a English model originally trained by antalvdb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_v2_dutch_base_finetuned_emotion_pipeline_en_5.5.0_3.0_1727211590894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_v2_dutch_base_finetuned_emotion_pipeline_en_5.5.0_3.0_1727211590894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robbert_v2_dutch_base_finetuned_emotion_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robbert_v2_dutch_base_finetuned_emotion_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_v2_dutch_base_finetuned_emotion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/antalvdb/robbert-v2-dutch-base-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es.md
new file mode 100644
index 00000000000000..632a283276027f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish roberta_base_bne_capitel_ner_plantl_gob_es_pipeline pipeline RoBertaForTokenClassification from PlanTL-GOB-ES
+author: John Snow Labs
+name: roberta_base_bne_capitel_ner_plantl_gob_es_pipeline
+date: 2024-09-24
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_capitel_ner_plantl_gob_es_pipeline` is a Castilian, Spanish model originally trained by PlanTL-GOB-ES.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es_5.5.0_3.0_1727198929333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es_5.5.0_3.0_1727198929333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_capitel_ner_plantl_gob_es_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_capitel_ner_plantl_gob_es_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_capitel_ner_plantl_gob_es_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|456.6 MB|
+
+## References
+
+https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-capitel-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_53_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_53_en.md
new file mode 100644
index 00000000000000..d315e6ef3d5fa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_53_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_53 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_53
+date: 2024-09-24
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_53` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_53_en_5.5.0_3.0_1727168834976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_53_en_5.5.0_3.0_1727168834976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_53|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_53
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_53_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_53_pipeline_en.md
new file mode 100644
index 00000000000000..02347dfcb08b70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_53_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_53_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_53_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_53_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_53_pipeline_en_5.5.0_3.0_1727168921993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_53_pipeline_en_5.5.0_3.0_1727168921993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_53_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_53_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_53_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_53
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_base_legal_multi_downstream_indian_ner_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_legal_multi_downstream_indian_ner_en.md
new file mode 100644
index 00000000000000..8e4dad798426f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_legal_multi_downstream_indian_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_legal_multi_downstream_indian_ner RoBertaForTokenClassification from MHGanainy
+author: John Snow Labs
+name: roberta_base_legal_multi_downstream_indian_ner
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_legal_multi_downstream_indian_ner` is a English model originally trained by MHGanainy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_legal_multi_downstream_indian_ner_en_5.5.0_3.0_1727195286050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_legal_multi_downstream_indian_ner_en_5.5.0_3.0_1727195286050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_legal_multi_downstream_indian_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/MHGanainy/roberta-base-legal-multi-downstream-indian-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_base_legal_multi_downstream_indian_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_legal_multi_downstream_indian_ner_pipeline_en.md
new file mode 100644
index 00000000000000..25de030ffe5767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_legal_multi_downstream_indian_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_legal_multi_downstream_indian_ner_pipeline pipeline RoBertaForTokenClassification from MHGanainy
+author: John Snow Labs
+name: roberta_base_legal_multi_downstream_indian_ner_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_legal_multi_downstream_indian_ner_pipeline` is a English model originally trained by MHGanainy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_legal_multi_downstream_indian_ner_pipeline_en_5.5.0_3.0_1727195309069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_legal_multi_downstream_indian_ner_pipeline_en_5.5.0_3.0_1727195309069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_legal_multi_downstream_indian_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_legal_multi_downstream_indian_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_legal_multi_downstream_indian_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/MHGanainy/roberta-base-legal-multi-downstream-indian-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_base_ours_rundi_2_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_ours_rundi_2_en.md
new file mode 100644
index 00000000000000..e1009198313143
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_ours_rundi_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_ours_rundi_2 RoBertaForSequenceClassification from SkyR
+author: John Snow Labs
+name: roberta_base_ours_rundi_2
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ours_rundi_2` is a English model originally trained by SkyR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ours_rundi_2_en_5.5.0_3.0_1727172175283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ours_rundi_2_en_5.5.0_3.0_1727172175283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ours_rundi_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.2 MB|
+
+## References
+
+https://huggingface.co/SkyR/roberta-base-ours-run-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_ganda_cased_malay_ner_v2_test_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_ganda_cased_malay_ner_v2_test_en.md
new file mode 100644
index 00000000000000..56b701243fc978
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_ganda_cased_malay_ner_v2_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_ganda_cased_malay_ner_v2_test RoBertaForTokenClassification from nxaliao
+author: John Snow Labs
+name: roberta_ganda_cased_malay_ner_v2_test
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ganda_cased_malay_ner_v2_test` is a English model originally trained by nxaliao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ganda_cased_malay_ner_v2_test_en_5.5.0_3.0_1727151284445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ganda_cased_malay_ner_v2_test_en_5.5.0_3.0_1727151284445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ganda_cased_malay_ner_v2_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/nxaliao/roberta-lg-cased-ms-ner-v2-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_large_bc4chemd_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_bc4chemd_en.md
new file mode 100644
index 00000000000000..cf99c41a72ce41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_bc4chemd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_bc4chemd RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_large_bc4chemd
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bc4chemd` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bc4chemd_en_5.5.0_3.0_1727150722493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bc4chemd_en_5.5.0_3.0_1727150722493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bc4chemd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-large_bc4chemd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_en.md
new file mode 100644
index 00000000000000..30c13686b4352d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil RoBertaForTokenClassification from gundapusunil
+author: John Snow Labs
+name: roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil` is a English model originally trained by gundapusunil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_en_5.5.0_3.0_1727139436438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_en_5.5.0_3.0_1727139436438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/gundapusunil/RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline_en.md
new file mode 100644
index 00000000000000..bef9b67662e864
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline pipeline RoBertaForTokenClassification from gundapusunil
+author: John Snow Labs
+name: roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline` is a English model originally trained by gundapusunil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline_en_5.5.0_3.0_1727139516513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline_en_5.5.0_3.0_1727139516513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_pm_m3_voc_hf_finetuned_ner_gundapusunil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/gundapusunil/RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_dpr_nq_reader_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_dpr_nq_reader_roberta_base_en.md
new file mode 100644
index 00000000000000..82764907a8ae99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_dpr_nq_reader_roberta_base_en.md
@@ -0,0 +1,106 @@
+---
+layout: model
+title: English RobertaForQuestionAnswering (from nlpconnect)
+author: John Snow Labs
+name: roberta_qa_dpr_nq_reader_roberta_base
+date: 2024-09-24
+tags: [en, open_source, question_answering, roberta, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `dpr-nq-reader-roberta-base` is a English model originally trained by `nlpconnect`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_dpr_nq_reader_roberta_base_en_5.5.0_3.0_1727210947078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_dpr_nq_reader_roberta_base_en_5.5.0_3.0_1727210947078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = RoBertaForQuestionAnswering.pretrained("roberta_qa_dpr_nq_reader_roberta_base","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = RoBertaForQuestionAnswering
+.pretrained("roberta_qa_dpr_nq_reader_roberta_base","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.roberta.base.by_nlpconnect").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_dpr_nq_reader_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+References
+
+- https://huggingface.co/nlpconnect/dpr-nq-reader-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_dpr_nq_reader_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_dpr_nq_reader_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..6bffe1dc109ea5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_dpr_nq_reader_roberta_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_dpr_nq_reader_roberta_base_pipeline pipeline RoBertaForQuestionAnswering from nlpconnect
+author: John Snow Labs
+name: roberta_qa_dpr_nq_reader_roberta_base_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_qa_dpr_nq_reader_roberta_base_pipeline` is a English model originally trained by nlpconnect.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_dpr_nq_reader_roberta_base_pipeline_en_5.5.0_3.0_1727210971188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_dpr_nq_reader_roberta_base_pipeline_en_5.5.0_3.0_1727210971188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_dpr_nq_reader_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_dpr_nq_reader_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_dpr_nq_reader_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/nlpconnect/dpr-nq-reader-roberta-base
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_finetuned_state_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_finetuned_state_pipeline_en.md
new file mode 100644
index 00000000000000..c874d576fd4bf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_finetuned_state_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_finetuned_state_pipeline pipeline RoBertaForQuestionAnswering from skandaonsolve
+author: John Snow Labs
+name: roberta_qa_finetuned_state_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_qa_finetuned_state_pipeline` is a English model originally trained by skandaonsolve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_finetuned_state_pipeline_en_5.5.0_3.0_1727211015905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_finetuned_state_pipeline_en_5.5.0_3.0_1727211015905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_finetuned_state_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_finetuned_state_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_finetuned_state_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.8 MB|
+
+## References
+
+https://huggingface.co/skandaonsolve/roberta-finetuned-state
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_quales_iberlef_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_quales_iberlef_en.md
new file mode 100644
index 00000000000000..6992c4efec1b28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_qa_quales_iberlef_en.md
@@ -0,0 +1,106 @@
+---
+layout: model
+title: English RobertaForQuestionAnswering (from stevemobs)
+author: John Snow Labs
+name: roberta_qa_quales_iberlef
+date: 2024-09-24
+tags: [en, open_source, question_answering, roberta, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `quales-iberlef` is a English model originally trained by `stevemobs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_quales_iberlef_en_5.5.0_3.0_1727210853804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_quales_iberlef_en_5.5.0_3.0_1727210853804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = RoBertaForQuestionAnswering.pretrained("roberta_qa_quales_iberlef","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = RoBertaForQuestionAnswering
+.pretrained("roberta_qa_quales_iberlef","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.roberta.by_stevemobs").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_quales_iberlef|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+References
+
+- https://huggingface.co/stevemobs/quales-iberlef
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_transfer2_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_transfer2_en.md
new file mode 100644
index 00000000000000..ced9224d24576b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_transfer2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_transfer2 RoBertaForSequenceClassification from SOUMYADEEPSAR
+author: John Snow Labs
+name: roberta_transfer2
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_transfer2` is a English model originally trained by SOUMYADEEPSAR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_transfer2_en_5.5.0_3.0_1727171890209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_transfer2_en_5.5.0_3.0_1727171890209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_transfer2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.7 MB|
+
+## References
+
+https://huggingface.co/SOUMYADEEPSAR/roberta_transfer2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_transfer2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_transfer2_pipeline_en.md
new file mode 100644
index 00000000000000..ad754fddc8b261
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_transfer2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_transfer2_pipeline pipeline RoBertaForSequenceClassification from SOUMYADEEPSAR
+author: John Snow Labs
+name: roberta_transfer2_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_transfer2_pipeline` is a English model originally trained by SOUMYADEEPSAR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_transfer2_pipeline_en_5.5.0_3.0_1727171925260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_transfer2_pipeline_en_5.5.0_3.0_1727171925260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_transfer2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_transfer2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_transfer2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|435.7 MB|
+
+## References
+
+https://huggingface.co/SOUMYADEEPSAR/roberta_transfer2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-robertalarge_finetuned_winogrande_en.md b/docs/_posts/ahmedlone127/2024-09-24-robertalarge_finetuned_winogrande_en.md
new file mode 100644
index 00000000000000..6538b9c2a1038e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-robertalarge_finetuned_winogrande_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robertalarge_finetuned_winogrande RoBertaForSequenceClassification from Kalslice
+author: John Snow Labs
+name: robertalarge_finetuned_winogrande
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertalarge_finetuned_winogrande` is a English model originally trained by Kalslice.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertalarge_finetuned_winogrande_en_5.5.0_3.0_1727167625898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertalarge_finetuned_winogrande_en_5.5.0_3.0_1727167625898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_conversational_cased_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/MonoHime/rubert_conversational_cased_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-rubert_sentence_similarity_en.md b/docs/_posts/ahmedlone127/2024-09-24-rubert_sentence_similarity_en.md
new file mode 100644
index 00000000000000..dd2261ab253528
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-rubert_sentence_similarity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rubert_sentence_similarity BertForSequenceClassification from AlanRobotics
+author: John Snow Labs
+name: rubert_sentence_similarity
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_sentence_similarity` is a English model originally trained by AlanRobotics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_sentence_similarity_en_5.5.0_3.0_1727219170114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_sentence_similarity_en_5.5.0_3.0_1727219170114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_sentence_similarity|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/AlanRobotics/rubert-sentence-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-rubert_sentence_similarity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-rubert_sentence_similarity_pipeline_en.md
new file mode 100644
index 00000000000000..e9aadb3ea6c9ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-rubert_sentence_similarity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rubert_sentence_similarity_pipeline pipeline BertForSequenceClassification from AlanRobotics
+author: John Snow Labs
+name: rubert_sentence_similarity_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_sentence_similarity_pipeline` is a English model originally trained by AlanRobotics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_sentence_similarity_pipeline_en_5.5.0_3.0_1727219203780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_sentence_similarity_pipeline_en_5.5.0_3.0_1727219203780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_sentence_similarity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_sentence_similarity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_sentence_similarity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/AlanRobotics/rubert-sentence-similarity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-securebert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-securebert_pipeline_en.md
new file mode 100644
index 00000000000000..66b6727225c9ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-securebert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English securebert_pipeline pipeline RoBertaEmbeddings from ehsanaghaei
+author: John Snow Labs
+name: securebert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`securebert_pipeline` is a English model originally trained by ehsanaghaei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/securebert_pipeline_en_5.5.0_3.0_1727216344948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/securebert_pipeline_en_5.5.0_3.0_1727216344948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("securebert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("securebert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|securebert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/ehsanaghaei/SecureBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_afro_xlmr_base_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-24-sent_afro_xlmr_base_pipeline_xx.md
new file mode 100644
index 00000000000000..3e06443b83d6b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_afro_xlmr_base_pipeline_xx.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Multilingual sent_afro_xlmr_base_pipeline pipeline XlmRoBertaSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_afro_xlmr_base_pipeline
+date: 2024-09-24
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_afro_xlmr_base_pipeline` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_afro_xlmr_base_pipeline_xx_5.5.0_3.0_1727205840413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_afro_xlmr_base_pipeline_xx_5.5.0_3.0_1727205840413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_afro_xlmr_base_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_afro_xlmr_base_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_afro_xlmr_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Davlan/afro-xlmr-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_afro_xlmr_base_xx.md b/docs/_posts/ahmedlone127/2024-09-24-sent_afro_xlmr_base_xx.md
new file mode 100644
index 00000000000000..db2df7cd71fa08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_afro_xlmr_base_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_afro_xlmr_base XlmRoBertaSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_afro_xlmr_base
+date: 2024-09-24
+tags: [xx, open_source, onnx, sentence_embeddings, xlm_roberta]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_afro_xlmr_base` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_afro_xlmr_base_xx_5.5.0_3.0_1727205787447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_afro_xlmr_base_xx_5.5.0_3.0_1727205787447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_afro_xlmr_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Davlan/afro-xlmr-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_batteryscibert_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_batteryscibert_uncased_en.md
new file mode 100644
index 00000000000000..e2f15777a5d8ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_batteryscibert_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_batteryscibert_uncased BertSentenceEmbeddings from batterydata
+author: John Snow Labs
+name: sent_batteryscibert_uncased
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_batteryscibert_uncased` is a English model originally trained by batterydata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_batteryscibert_uncased_en_5.5.0_3.0_1727202645434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_batteryscibert_uncased_en_5.5.0_3.0_1727202645434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_batteryscibert_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/batterydata/batteryscibert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_batteryscibert_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_batteryscibert_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..0182dce4114fb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_batteryscibert_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_batteryscibert_uncased_pipeline pipeline BertSentenceEmbeddings from batterydata
+author: John Snow Labs
+name: sent_batteryscibert_uncased_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_batteryscibert_uncased_pipeline` is a English model originally trained by batterydata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_batteryscibert_uncased_pipeline_en_5.5.0_3.0_1727202666128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_batteryscibert_uncased_pipeline_en_5.5.0_3.0_1727202666128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_batteryscibert_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_batteryscibert_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_batteryscibert_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.5 MB|
+
+## References
+
+https://huggingface.co/batterydata/batteryscibert-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_arabert_finetuned_mdeberta_tswana_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_arabert_finetuned_mdeberta_tswana_en.md
new file mode 100644
index 00000000000000..4a0f757c1e27ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_arabert_finetuned_mdeberta_tswana_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_arabert_finetuned_mdeberta_tswana BertSentenceEmbeddings from betteib
+author: John Snow Labs
+name: sent_bert_base_arabert_finetuned_mdeberta_tswana
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_arabert_finetuned_mdeberta_tswana` is a English model originally trained by betteib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabert_finetuned_mdeberta_tswana_en_5.5.0_3.0_1727202340808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabert_finetuned_mdeberta_tswana_en_5.5.0_3.0_1727202340808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_blbooks_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/bigscience-historical-texts/bert-base-blbooks-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline_en.md
new file mode 100644
index 00000000000000..e18ace2311611f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline_en_5.5.0_3.0_1727202207349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline_en_5.5.0_3.0_1727202207349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_dutch_russian_arabic_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.1 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-nl-ru-ar-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_nli_stsb_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_nli_stsb_en.md
new file mode 100644
index 00000000000000..f50e41087ca203
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_nli_stsb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_nli_stsb BertSentenceEmbeddings from binwang
+author: John Snow Labs
+name: sent_bert_base_nli_stsb
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_nli_stsb` is a English model originally trained by binwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_stsb_en_5.5.0_3.0_1727202139914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_stsb_en_5.5.0_3.0_1727202139914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_nli_stsb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/binwang/bert-base-nli-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_uncased_2022_habana_test_3_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_uncased_2022_habana_test_3_en.md
new file mode 100644
index 00000000000000..ab972f82eedca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_uncased_2022_habana_test_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_2022_habana_test_3 BertSentenceEmbeddings from philschmid
+author: John Snow Labs
+name: sent_bert_base_uncased_2022_habana_test_3
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_2022_habana_test_3` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_2022_habana_test_3_en_5.5.0_3.0_1727201932435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_2022_habana_test_3_en_5.5.0_3.0_1727201932435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_2022_habana_test_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_uncased_2022_habana_test_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_uncased_2022_habana_test_3_pipeline_en.md
new file mode 100644
index 00000000000000..8090ab5a2b51c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_uncased_2022_habana_test_3_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_2022_habana_test_3_pipeline pipeline BertSentenceEmbeddings from philschmid
+author: John Snow Labs
+name: sent_bert_base_uncased_2022_habana_test_3_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_2022_habana_test_3_pipeline` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_2022_habana_test_3_pipeline_en_5.5.0_3.0_1727201954160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_2022_habana_test_3_pipeline_en_5.5.0_3.0_1727201954160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_2022_habana_test_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_2022_habana_test_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_2022_habana_test_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_large_cased_portuguese_lenerbr_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_large_cased_portuguese_lenerbr_pipeline_pt.md
new file mode 100644
index 00000000000000..a9ee304c2155c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_large_cased_portuguese_lenerbr_pipeline_pt.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Portuguese sent_bert_large_cased_portuguese_lenerbr_pipeline pipeline BertSentenceEmbeddings from pierreguillou
+author: John Snow Labs
+name: sent_bert_large_cased_portuguese_lenerbr_pipeline
+date: 2024-09-24
+tags: [pt, open_source, pipeline, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_cased_portuguese_lenerbr_pipeline` is a Portuguese model originally trained by pierreguillou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_portuguese_lenerbr_pipeline_pt_5.5.0_3.0_1727202540280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_portuguese_lenerbr_pipeline_pt_5.5.0_3.0_1727202540280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_large_cased_portuguese_lenerbr_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_large_cased_portuguese_lenerbr_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_cased_portuguese_lenerbr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/pierreguillou/bert-large-cased-pt-lenerbr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_large_cased_portuguese_lenerbr_pt.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_large_cased_portuguese_lenerbr_pt.md
new file mode 100644
index 00000000000000..6061a322bd868d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_large_cased_portuguese_lenerbr_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese sent_bert_large_cased_portuguese_lenerbr BertSentenceEmbeddings from pierreguillou
+author: John Snow Labs
+name: sent_bert_large_cased_portuguese_lenerbr
+date: 2024-09-24
+tags: [pt, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_cased_portuguese_lenerbr` is a Portuguese model originally trained by pierreguillou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_portuguese_lenerbr_pt_5.5.0_3.0_1727202476652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_portuguese_lenerbr_pt_5.5.0_3.0_1727202476652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_cased_portuguese_lenerbr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/pierreguillou/bert-large-cased-pt-lenerbr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_medium_mlsm_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_medium_mlsm_en.md
new file mode 100644
index 00000000000000..49d041ff2a3a00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_medium_mlsm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_medium_mlsm BertSentenceEmbeddings from SzegedAI
+author: John Snow Labs
+name: sent_bert_medium_mlsm
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_medium_mlsm` is a English model originally trained by SzegedAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_medium_mlsm_en_5.5.0_3.0_1727178506274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_medium_mlsm_en_5.5.0_3.0_1727178506274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_medium_mlsm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|157.1 MB|
+
+## References
+
+https://huggingface.co/SzegedAI/bert-medium-mlsm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa.md
new file mode 100644
index 00000000000000..79de17e25f8508
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Persian sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline pipeline BertSentenceEmbeddings from Yasamansaffari73
+author: John Snow Labs
+name: sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline
+date: 2024-09-24
+tags: [fa, open_source, pipeline, onnx]
+task: Embeddings
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline` is a Persian model originally trained by Yasamansaffari73.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa_5.5.0_3.0_1727178564218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa_5.5.0_3.0_1727178564218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|607.1 MB|
+
+## References
+
+https://huggingface.co/Yasamansaffari73/bert-fa-base-uncased-finetuned-ParsBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_danish_bert_iolariu_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_danish_bert_iolariu_en.md
new file mode 100644
index 00000000000000..0010ac240fd067
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_danish_bert_iolariu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_danish_bert_iolariu BertSentenceEmbeddings from iolariu
+author: John Snow Labs
+name: sent_danish_bert_iolariu
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_danish_bert_iolariu` is a English model originally trained by iolariu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_danish_bert_iolariu_en_5.5.0_3.0_1727157488463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_danish_bert_iolariu_en_5.5.0_3.0_1727157488463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_danish_bert_iolariu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/iolariu/DA_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_furina_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_furina_en.md
new file mode 100644
index 00000000000000..ec723ca77d0aeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_furina_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_furina XlmRoBertaSentenceEmbeddings from yihongLiu
+author: John Snow Labs
+name: sent_furina
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_furina` is a English model originally trained by yihongLiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_furina_en_5.5.0_3.0_1727205845902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_furina_en_5.5.0_3.0_1727205845902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_furina|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/yihongLiu/furina
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_furina_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_furina_pipeline_en.md
new file mode 100644
index 00000000000000..e909075711fe2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_furina_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_furina_pipeline pipeline XlmRoBertaSentenceEmbeddings from yihongLiu
+author: John Snow Labs
+name: sent_furina_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_furina_pipeline` is a English model originally trained by yihongLiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_furina_pipeline_en_5.5.0_3.0_1727205926922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_furina_pipeline_en_5.5.0_3.0_1727205926922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_furina_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_furina_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_furina_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/yihongLiu/furina
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_less_300000_xlm_roberta_mmar_recipe_10_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_less_300000_xlm_roberta_mmar_recipe_10_en.md
new file mode 100644
index 00000000000000..8d1b6386d8a74c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_less_300000_xlm_roberta_mmar_recipe_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_less_300000_xlm_roberta_mmar_recipe_10 XlmRoBertaSentenceEmbeddings from CennetOguz
+author: John Snow Labs
+name: sent_less_300000_xlm_roberta_mmar_recipe_10
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_less_300000_xlm_roberta_mmar_recipe_10` is a English model originally trained by CennetOguz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_less_300000_xlm_roberta_mmar_recipe_10_en_5.5.0_3.0_1727205527478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_less_300000_xlm_roberta_mmar_recipe_10_en_5.5.0_3.0_1727205527478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_less_300000_xlm_roberta_mmar_recipe_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/CennetOguz/less_300000_xlm_roberta_mmar_recipe_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline_en.md
new file mode 100644
index 00000000000000..ef59e36c7042a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline pipeline XlmRoBertaSentenceEmbeddings from CennetOguz
+author: John Snow Labs
+name: sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline` is a English model originally trained by CennetOguz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline_en_5.5.0_3.0_1727205583101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline_en_5.5.0_3.0_1727205583101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_less_300000_xlm_roberta_mmar_recipe_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/CennetOguz/less_300000_xlm_roberta_mmar_recipe_10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_s3_v1_20_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_s3_v1_20_epochs_en.md
new file mode 100644
index 00000000000000..c699e07a46a6aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_s3_v1_20_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_s3_v1_20_epochs BertSentenceEmbeddings from AethiQs-Max
+author: John Snow Labs
+name: sent_s3_v1_20_epochs
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_s3_v1_20_epochs` is a English model originally trained by AethiQs-Max.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_s3_v1_20_epochs_en_5.5.0_3.0_1727202409357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_s3_v1_20_epochs_en_5.5.0_3.0_1727202409357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_s3_v1_20_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/AethiQs-Max/s3-v1-20_epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_s3_v1_20_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_s3_v1_20_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..468ed0070d6a61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_s3_v1_20_epochs_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_s3_v1_20_epochs_pipeline pipeline BertSentenceEmbeddings from AethiQs-Max
+author: John Snow Labs
+name: sent_s3_v1_20_epochs_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_s3_v1_20_epochs_pipeline` is a English model originally trained by AethiQs-Max.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_s3_v1_20_epochs_pipeline_en_5.5.0_3.0_1727202430246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_s3_v1_20_epochs_pipeline_en_5.5.0_3.0_1727202430246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_s3_v1_20_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_s3_v1_20_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_s3_v1_20_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/AethiQs-Max/s3-v1-20_epochs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_turkish_mini_bert_uncased_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-24-sent_turkish_mini_bert_uncased_pipeline_tr.md
new file mode 100644
index 00000000000000..c38c57cb803312
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@@ -0,0 +1,71 @@
+---
+layout: model
+title: Turkish sent_turkish_mini_bert_uncased_pipeline pipeline BertSentenceEmbeddings from ytu-ce-cosmos
+author: John Snow Labs
+name: sent_turkish_mini_bert_uncased_pipeline
+date: 2024-09-24
+tags: [tr, open_source, pipeline, onnx]
+task: Embeddings
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_turkish_mini_bert_uncased_pipeline` is a Turkish model originally trained by ytu-ce-cosmos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_turkish_mini_bert_uncased_pipeline_tr_5.5.0_3.0_1727202577142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_turkish_mini_bert_uncased_pipeline_tr_5.5.0_3.0_1727202577142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_turkish_mini_bert_uncased_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_turkish_mini_bert_uncased_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_turkish_mini_bert_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|43.8 MB|
+
+## References
+
+https://huggingface.co/ytu-ce-cosmos/turkish-mini-bert-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_en.md
new file mode 100644
index 00000000000000..e5a14d4fa671fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned XlmRoBertaSentenceEmbeddings from RogerB
+author: John Snow Labs
+name: sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_en_5.5.0_3.0_1727205637920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_en_5.5.0_3.0_1727205637920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..9eeb31a0cc744f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline pipeline XlmRoBertaSentenceEmbeddings from RogerB
+author: John Snow Labs
+name: sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline_en_5.5.0_3.0_1727205705111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline_en_5.5.0_3.0_1727205705111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_italian_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_italian_en.md
new file mode 100644
index 00000000000000..9a33209fdcf372
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_italian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_xlm_v_base_trimmed_italian XlmRoBertaSentenceEmbeddings from vocabtrimmer
+author: John Snow Labs
+name: sent_xlm_v_base_trimmed_italian
+date: 2024-09-24
+tags: [en, open_source, onnx, sentence_embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_v_base_trimmed_italian` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_v_base_trimmed_italian_en_5.5.0_3.0_1727205485563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_v_base_trimmed_italian_en_5.5.0_3.0_1727205485563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_v_base_trimmed_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|526.3 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_italian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_italian_pipeline_en.md
new file mode 100644
index 00000000000000..0957f778649f25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_italian_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_xlm_v_base_trimmed_italian_pipeline pipeline XlmRoBertaSentenceEmbeddings from vocabtrimmer
+author: John Snow Labs
+name: sent_xlm_v_base_trimmed_italian_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_v_base_trimmed_italian_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_v_base_trimmed_italian_pipeline_en_5.5.0_3.0_1727205639190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_v_base_trimmed_italian_pipeline_en_5.5.0_3.0_1727205639190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_xlm_v_base_trimmed_italian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_xlm_v_base_trimmed_italian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_v_base_trimmed_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|526.8 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_portuguese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_portuguese_pipeline_en.md
new file mode 100644
index 00000000000000..a7b5329fe3c91d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_xlm_v_base_trimmed_portuguese_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_xlm_v_base_trimmed_portuguese_pipeline pipeline XlmRoBertaSentenceEmbeddings from vocabtrimmer
+author: John Snow Labs
+name: sent_xlm_v_base_trimmed_portuguese_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_v_base_trimmed_portuguese_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_v_base_trimmed_portuguese_pipeline_en_5.5.0_3.0_1727205808735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_v_base_trimmed_portuguese_pipeline_en_5.5.0_3.0_1727205808735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_xlm_v_base_trimmed_portuguese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_xlm_v_base_trimmed_portuguese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_v_base_trimmed_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|520.9 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-pt
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sentiment_analysis_model_mahmoud8_en.md b/docs/_posts/ahmedlone127/2024-09-24-sentiment_analysis_model_mahmoud8_en.md
new file mode 100644
index 00000000000000..6ef38a67352f35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sentiment_analysis_model_mahmoud8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_model_mahmoud8 DistilBertForSequenceClassification from Mahmoud8
+author: John Snow Labs
+name: sentiment_analysis_model_mahmoud8
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_mahmoud8` is a English model originally trained by Mahmoud8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_mahmoud8_en_5.5.0_3.0_1727154821588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_mahmoud8_en_5.5.0_3.0_1727154821588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_model_mahmoud8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahmoud8/sentiment_analysis_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sentiment_analysis_with_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sentiment_analysis_with_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..353da1286909f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sentiment_analysis_with_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_with_distilbert_pipeline pipeline DistilBertForSequenceClassification from hdv2709
+author: John Snow Labs
+name: sentiment_analysis_with_distilbert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_with_distilbert_pipeline` is a English model originally trained by hdv2709.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_with_distilbert_pipeline_en_5.5.0_3.0_1727137059738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_with_distilbert_pipeline_en_5.5.0_3.0_1727137059738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_with_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_with_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_with_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hdv2709/sentiment_analysis_with_DistilBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-services_ucacue_bryansagbay_en.md b/docs/_posts/ahmedlone127/2024-09-24-services_ucacue_bryansagbay_en.md
new file mode 100644
index 00000000000000..916048d7fa54b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-services_ucacue_bryansagbay_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English services_ucacue_bryansagbay RoBertaForSequenceClassification from BryanSagbay
+author: John Snow Labs
+name: services_ucacue_bryansagbay
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`services_ucacue_bryansagbay` is a English model originally trained by BryanSagbay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/services_ucacue_bryansagbay_en_5.5.0_3.0_1727171716556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/services_ucacue_bryansagbay_en_5.5.0_3.0_1727171716556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|services_ucacue_bryansagbay|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.8 MB|
+
+## References
+
+https://huggingface.co/BryanSagbay/services-ucacue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sgppellow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sgppellow_pipeline_en.md
new file mode 100644
index 00000000000000..15dee56749bd7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sgppellow_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sgppellow_pipeline pipeline RoBertaForSequenceClassification from SGPPellow
+author: John Snow Labs
+name: sgppellow_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sgppellow_pipeline` is a English model originally trained by SGPPellow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sgppellow_pipeline_en_5.5.0_3.0_1727171097734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sgppellow_pipeline_en_5.5.0_3.0_1727171097734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sgppellow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sgppellow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sgppellow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|416.2 MB|
+
+## References
+
+https://huggingface.co/SGPPellow/SGPPellow
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-spillage_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-24-spillage_distilbert_base_uncased_en.md
new file mode 100644
index 00000000000000..1a8851d67586fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-spillage_distilbert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spillage_distilbert_base_uncased DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: spillage_distilbert_base_uncased
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spillage_distilbert_base_uncased` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spillage_distilbert_base_uncased_en_5.5.0_3.0_1727164741410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spillage_distilbert_base_uncased_en_5.5.0_3.0_1727164741410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spillage_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/spillage-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-spillage_distilbert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-spillage_distilbert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..be83df8fa1fc97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-spillage_distilbert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spillage_distilbert_base_uncased_pipeline pipeline DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: spillage_distilbert_base_uncased_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spillage_distilbert_base_uncased_pipeline` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spillage_distilbert_base_uncased_pipeline_en_5.5.0_3.0_1727164756348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spillage_distilbert_base_uncased_pipeline_en_5.5.0_3.0_1727164756348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spillage_distilbert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spillage_distilbert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spillage_distilbert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/spillage-distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-squeezebert_uncased_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-squeezebert_uncased_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..791ffde689e51c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-squeezebert_uncased_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English squeezebert_uncased_finetuned_squad_pipeline pipeline BertForQuestionAnswering from SupriyaArun
+author: John Snow Labs
+name: squeezebert_uncased_finetuned_squad_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squeezebert_uncased_finetuned_squad_pipeline` is a English model originally trained by SupriyaArun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squeezebert_uncased_finetuned_squad_pipeline_en_5.5.0_3.0_1727206792798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squeezebert_uncased_finetuned_squad_pipeline_en_5.5.0_3.0_1727206792798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squeezebert_uncased_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squeezebert_uncased_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squeezebert_uncased_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|187.4 MB|
+
+## References
+
+https://huggingface.co/SupriyaArun/squeezebert-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sroberta_hr.md b/docs/_posts/ahmedlone127/2024-09-24-sroberta_hr.md
new file mode 100644
index 00000000000000..b921b01841f2fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sroberta_hr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Croatian sroberta RoBertaEmbeddings from Andrija
+author: John Snow Labs
+name: sroberta
+date: 2024-09-24
+tags: [hr, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: hr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sroberta` is a Croatian model originally trained by Andrija.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sroberta_hr_5.5.0_3.0_1727216187649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sroberta_hr_5.5.0_3.0_1727216187649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sroberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|hr|
+|Size:|450.7 MB|
+
+## References
+
+https://huggingface.co/Andrija/SRoBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sroberta_pipeline_hr.md b/docs/_posts/ahmedlone127/2024-09-24-sroberta_pipeline_hr.md
new file mode 100644
index 00000000000000..b118fcb6a362cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sroberta_pipeline_hr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Croatian sroberta_pipeline pipeline RoBertaEmbeddings from Andrija
+author: John Snow Labs
+name: sroberta_pipeline
+date: 2024-09-24
+tags: [hr, open_source, pipeline, onnx]
+task: Embeddings
+language: hr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sroberta_pipeline` is a Croatian model originally trained by Andrija.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sroberta_pipeline_hr_5.5.0_3.0_1727216211408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sroberta_pipeline_hr_5.5.0_3.0_1727216211408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sroberta_pipeline", lang = "hr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sroberta_pipeline", lang = "hr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sroberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hr|
+|Size:|450.8 MB|
+
+## References
+
+https://huggingface.co/Andrija/SRoBERTa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31_en.md b/docs/_posts/ahmedlone127/2024-09-24-stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31_en.md
new file mode 100644
index 00000000000000..86e2e0e2cc4099
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31_en_5.5.0_3.0_1727137393609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31_en_5.5.0_3.0_1727137393609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_0_2024_07_26_16_19_31|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-0-2024-07-26_16-19-31
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-subtopics_bigbird_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-subtopics_bigbird_base_pipeline_en.md
new file mode 100644
index 00000000000000..26ed1d9a6d631b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-subtopics_bigbird_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English subtopics_bigbird_base_pipeline pipeline RoBertaForSequenceClassification from RogerKam
+author: John Snow Labs
+name: subtopics_bigbird_base_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`subtopics_bigbird_base_pipeline` is a English model originally trained by RogerKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/subtopics_bigbird_base_pipeline_en_5.5.0_3.0_1727167913886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/subtopics_bigbird_base_pipeline_en_5.5.0_3.0_1727167913886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("subtopics_bigbird_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("subtopics_bigbird_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|subtopics_bigbird_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.6 MB|
+
+## References
+
+https://huggingface.co/RogerKam/subTopics-bigBird-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sucidal_text_classification_distillbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sucidal_text_classification_distillbert_pipeline_en.md
new file mode 100644
index 00000000000000..ac60a2665dfb4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sucidal_text_classification_distillbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sucidal_text_classification_distillbert_pipeline pipeline DistilBertForSequenceClassification from pradanaadn
+author: John Snow Labs
+name: sucidal_text_classification_distillbert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sucidal_text_classification_distillbert_pipeline` is a English model originally trained by pradanaadn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sucidal_text_classification_distillbert_pipeline_en_5.5.0_3.0_1727136840942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sucidal_text_classification_distillbert_pipeline_en_5.5.0_3.0_1727136840942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sucidal_text_classification_distillbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sucidal_text_classification_distillbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sucidal_text_classification_distillbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pradanaadn/sucidal-text-classification-distillbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-terjman_large_ar.md b/docs/_posts/ahmedlone127/2024-09-24-terjman_large_ar.md
new file mode 100644
index 00000000000000..1a1057c65bf371
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-terjman_large_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic terjman_large MarianTransformer from atlasia
+author: John Snow Labs
+name: terjman_large
+date: 2024-09-24
+tags: [ar, open_source, onnx, translation, marian]
+task: Translation
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`terjman_large` is a Arabic model originally trained by atlasia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/terjman_large_ar_5.5.0_3.0_1727208921086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/terjman_large_ar_5.5.0_3.0_1727208921086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|terjman_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|ar|
+|Size:|695.3 MB|
+
+## References
+
+https://huggingface.co/atlasia/Terjman-Large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-terjman_large_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-24-terjman_large_pipeline_ar.md
new file mode 100644
index 00000000000000..2afedf4f21e57b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-terjman_large_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic terjman_large_pipeline pipeline MarianTransformer from atlasia
+author: John Snow Labs
+name: terjman_large_pipeline
+date: 2024-09-24
+tags: [ar, open_source, pipeline, onnx]
+task: Translation
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`terjman_large_pipeline` is a Arabic model originally trained by atlasia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/terjman_large_pipeline_ar_5.5.0_3.0_1727209153955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/terjman_large_pipeline_ar_5.5.0_3.0_1727209153955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("terjman_large_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("terjman_large_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|terjman_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|695.8 MB|
+
+## References
+
+https://huggingface.co/atlasia/Terjman-Large
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-test_nepal_bhasa_study_roberta_large_two_way_en.md b/docs/_posts/ahmedlone127/2024-09-24-test_nepal_bhasa_study_roberta_large_two_way_en.md
new file mode 100644
index 00000000000000..7cd1b3f7fbdcc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-test_nepal_bhasa_study_roberta_large_two_way_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_nepal_bhasa_study_roberta_large_two_way RoBertaForSequenceClassification from xiazeng
+author: John Snow Labs
+name: test_nepal_bhasa_study_roberta_large_two_way
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_nepal_bhasa_study_roberta_large_two_way` is a English model originally trained by xiazeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_nepal_bhasa_study_roberta_large_two_way_en_5.5.0_3.0_1727172164564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_nepal_bhasa_study_roberta_large_two_way_en_5.5.0_3.0_1727172164564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_nepal_bhasa_study_roberta_large_two_way|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/xiazeng/test-new-study_roberta-large_two-way
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-test_nepal_bhasa_study_roberta_large_two_way_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-test_nepal_bhasa_study_roberta_large_two_way_pipeline_en.md
new file mode 100644
index 00000000000000..d2bf81088a8a22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-test_nepal_bhasa_study_roberta_large_two_way_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_nepal_bhasa_study_roberta_large_two_way_pipeline pipeline RoBertaForSequenceClassification from xiazeng
+author: John Snow Labs
+name: test_nepal_bhasa_study_roberta_large_two_way_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_nepal_bhasa_study_roberta_large_two_way_pipeline` is a English model originally trained by xiazeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_nepal_bhasa_study_roberta_large_two_way_pipeline_en_5.5.0_3.0_1727172233741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_nepal_bhasa_study_roberta_large_two_way_pipeline_en_5.5.0_3.0_1727172233741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_nepal_bhasa_study_roberta_large_two_way_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_nepal_bhasa_study_roberta_large_two_way_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_nepal_bhasa_study_roberta_large_two_way_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/xiazeng/test-new-study_roberta-large_two-way
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tiny_random_debertafortokenclassification_en.md b/docs/_posts/ahmedlone127/2024-09-24-tiny_random_debertafortokenclassification_en.md
new file mode 100644
index 00000000000000..94d68c7c71c3e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tiny_random_debertafortokenclassification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tiny_random_debertafortokenclassification BertForTokenClassification from hf-tiny-model-private
+author: John Snow Labs
+name: tiny_random_debertafortokenclassification
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_debertafortokenclassification` is a English model originally trained by hf-tiny-model-private.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_debertafortokenclassification_en_5.5.0_3.0_1727203363980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_debertafortokenclassification_en_5.5.0_3.0_1727203363980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_debertafortokenclassification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|346.1 KB|
+
+## References
+
+https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tiny_random_debertafortokenclassification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-tiny_random_debertafortokenclassification_pipeline_en.md
new file mode 100644
index 00000000000000..18d50b81660b69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tiny_random_debertafortokenclassification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tiny_random_debertafortokenclassification_pipeline pipeline BertForTokenClassification from hf-tiny-model-private
+author: John Snow Labs
+name: tiny_random_debertafortokenclassification_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_debertafortokenclassification_pipeline` is a English model originally trained by hf-tiny-model-private.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_debertafortokenclassification_pipeline_en_5.5.0_3.0_1727203364394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_debertafortokenclassification_pipeline_en_5.5.0_3.0_1727203364394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_random_debertafortokenclassification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_random_debertafortokenclassification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_debertafortokenclassification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|368.3 KB|
+
+## References
+
+https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaForTokenClassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tinybert_phishing_model_en.md b/docs/_posts/ahmedlone127/2024-09-24-tinybert_phishing_model_en.md
new file mode 100644
index 00000000000000..e978b46978ccdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tinybert_phishing_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tinybert_phishing_model BertForSequenceClassification from rpg1
+author: John Snow Labs
+name: tinybert_phishing_model
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_phishing_model` is a English model originally trained by rpg1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_phishing_model_en_5.5.0_3.0_1727219397029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_phishing_model_en_5.5.0_3.0_1727219397029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_phishing_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/rpg1/tinyBERT_phishing_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tinybert_sentiment_amazon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-tinybert_sentiment_amazon_pipeline_en.md
new file mode 100644
index 00000000000000..aae23b9155ebbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tinybert_sentiment_amazon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tinybert_sentiment_amazon_pipeline pipeline BertForSequenceClassification from AdamCodd
+author: John Snow Labs
+name: tinybert_sentiment_amazon_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_sentiment_amazon_pipeline` is a English model originally trained by AdamCodd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_sentiment_amazon_pipeline_en_5.5.0_3.0_1727149427633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_sentiment_amazon_pipeline_en_5.5.0_3.0_1727149427633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tinybert_sentiment_amazon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tinybert_sentiment_amazon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_sentiment_amazon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/AdamCodd/tinybert-sentiment-amazon
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tinyroberta_squad2_en.md b/docs/_posts/ahmedlone127/2024-09-24-tinyroberta_squad2_en.md
new file mode 100644
index 00000000000000..5c95a32f858964
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tinyroberta_squad2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English tinyroberta_squad2 RoBertaForQuestionAnswering from JohnDoe70
+author: John Snow Labs
+name: tinyroberta_squad2
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinyroberta_squad2` is a English model originally trained by JohnDoe70.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinyroberta_squad2_en_5.5.0_3.0_1727210789171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinyroberta_squad2_en_5.5.0_3.0_1727210789171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinyroberta_squad2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|306.9 MB|
+
+## References
+
+https://huggingface.co/JohnDoe70/tinyroberta-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tinyroberta_squad2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-tinyroberta_squad2_pipeline_en.md
new file mode 100644
index 00000000000000..50cbb4cd701f9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tinyroberta_squad2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tinyroberta_squad2_pipeline pipeline RoBertaForQuestionAnswering from JohnDoe70
+author: John Snow Labs
+name: tinyroberta_squad2_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinyroberta_squad2_pipeline` is a English model originally trained by JohnDoe70.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinyroberta_squad2_pipeline_en_5.5.0_3.0_1727210805073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinyroberta_squad2_pipeline_en_5.5.0_3.0_1727210805073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tinyroberta_squad2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tinyroberta_squad2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinyroberta_squad2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.9 MB|
+
+## References
+
+https://huggingface.co/JohnDoe70/tinyroberta-squad2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tmp_trainer_parth49_en.md b/docs/_posts/ahmedlone127/2024-09-24-tmp_trainer_parth49_en.md
new file mode 100644
index 00000000000000..6234a48fd0345a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tmp_trainer_parth49_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tmp_trainer_parth49 DistilBertForSequenceClassification from Parth49
+author: John Snow Labs
+name: tmp_trainer_parth49
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_trainer_parth49` is a English model originally trained by Parth49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_trainer_parth49_en_5.5.0_3.0_1727154770677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_trainer_parth49_en_5.5.0_3.0_1727154770677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp_trainer_parth49|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Parth49/tmp_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_en.md b/docs/_posts/ahmedlone127/2024-09-24-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_en.md
new file mode 100644
index 00000000000000..14b7a68d7b9f2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized XlmRoBertaForTokenClassification from anonymoussubmissions
+author: John Snow Labs
+name: tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized` is a English model originally trained by anonymoussubmissions.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_en_5.5.0_3.0_1727214968307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_en_5.5.0_3.0_1727214968307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/anonymoussubmissions/tner-xlm-roberta-base-ontonotes5-earnings21-non-normalized
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline_en.md
new file mode 100644
index 00000000000000..c40b8229bff916
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline pipeline XlmRoBertaForTokenClassification from anonymoussubmissions
+author: John Snow Labs
+name: tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline` is a English model originally trained by anonymoussubmissions.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline_en_5.5.0_3.0_1727215035397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline_en_5.5.0_3.0_1727215035397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.3 MB|
+
+## References
+
+https://huggingface.co/anonymoussubmissions/tner-xlm-roberta-base-ontonotes5-earnings21-non-normalized
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-transcript_classification_en.md b/docs/_posts/ahmedlone127/2024-09-24-transcript_classification_en.md
new file mode 100644
index 00000000000000..6dfac0b9477952
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-transcript_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English transcript_classification DistilBertForSequenceClassification from aoshita
+author: John Snow Labs
+name: transcript_classification
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transcript_classification` is a English model originally trained by aoshita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transcript_classification_en_5.5.0_3.0_1727154549754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transcript_classification_en_5.5.0_3.0_1727154549754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transcript_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aoshita/transcript_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-trial_model_qstrats_en.md b/docs/_posts/ahmedlone127/2024-09-24-trial_model_qstrats_en.md
new file mode 100644
index 00000000000000..6b694f31b622a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-trial_model_qstrats_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trial_model_qstrats RoBertaForSequenceClassification from qstrats
+author: John Snow Labs
+name: trial_model_qstrats
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trial_model_qstrats` is a English model originally trained by qstrats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trial_model_qstrats_en_5.5.0_3.0_1727167479675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trial_model_qstrats_en_5.5.0_3.0_1727167479675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trial_model_qstrats|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|416.3 MB|
+
+## References
+
+https://huggingface.co/qstrats/trial-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tuned_test_trainer_bert_base_uncased_mrredborne_en.md b/docs/_posts/ahmedlone127/2024-09-24-tuned_test_trainer_bert_base_uncased_mrredborne_en.md
new file mode 100644
index 00000000000000..13e6687a7088f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tuned_test_trainer_bert_base_uncased_mrredborne_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tuned_test_trainer_bert_base_uncased_mrredborne BertForSequenceClassification from Mrredborne
+author: John Snow Labs
+name: tuned_test_trainer_bert_base_uncased_mrredborne
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tuned_test_trainer_bert_base_uncased_mrredborne` is a English model originally trained by Mrredborne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tuned_test_trainer_bert_base_uncased_mrredborne_en_5.5.0_3.0_1727213463146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tuned_test_trainer_bert_base_uncased_mrredborne_en_5.5.0_3.0_1727213463146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tuned_test_trainer_bert_base_uncased_mrredborne|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Mrredborne/tuned_test_trainer-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tuned_test_trainer_bert_base_uncased_mrredborne_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-tuned_test_trainer_bert_base_uncased_mrredborne_pipeline_en.md
new file mode 100644
index 00000000000000..aa86e25f957c6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tuned_test_trainer_bert_base_uncased_mrredborne_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tuned_test_trainer_bert_base_uncased_mrredborne_pipeline pipeline BertForSequenceClassification from Mrredborne
+author: John Snow Labs
+name: tuned_test_trainer_bert_base_uncased_mrredborne_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tuned_test_trainer_bert_base_uncased_mrredborne_pipeline` is a English model originally trained by Mrredborne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tuned_test_trainer_bert_base_uncased_mrredborne_pipeline_en_5.5.0_3.0_1727213484226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tuned_test_trainer_bert_base_uncased_mrredborne_pipeline_en_5.5.0_3.0_1727213484226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tuned_test_trainer_bert_base_uncased_mrredborne_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tuned_test_trainer_bert_base_uncased_mrredborne_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tuned_test_trainer_bert_base_uncased_mrredborne_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Mrredborne/tuned_test_trainer-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tuning_lr_0_1_wd_0_01_epochs_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-tuning_lr_0_1_wd_0_01_epochs_1_pipeline_en.md
new file mode 100644
index 00000000000000..fd9729b968b78d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tuning_lr_0_1_wd_0_01_epochs_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tuning_lr_0_1_wd_0_01_epochs_1_pipeline pipeline DistilBertForSequenceClassification from ash-akjp-ga
+author: John Snow Labs
+name: tuning_lr_0_1_wd_0_01_epochs_1_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tuning_lr_0_1_wd_0_01_epochs_1_pipeline` is a English model originally trained by ash-akjp-ga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tuning_lr_0_1_wd_0_01_epochs_1_pipeline_en_5.5.0_3.0_1727164669526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tuning_lr_0_1_wd_0_01_epochs_1_pipeline_en_5.5.0_3.0_1727164669526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tuning_lr_0_1_wd_0_01_epochs_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tuning_lr_0_1_wd_0_01_epochs_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tuning_lr_0_1_wd_0_01_epochs_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|251.1 MB|
+
+## References
+
+https://huggingface.co/ash-akjp-ga/tuning_lr_0.1_wd_0.01_epochs_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-twitter_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-twitter_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..02c9ec233bfda9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-twitter_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_pipeline pipeline RoBertaEmbeddings from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_pipeline_en_5.5.0_3.0_1727216074828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_pipeline_en_5.5.0_3.0_1727216074828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-wav2vec2_base_igbo_en.md b/docs/_posts/ahmedlone127/2024-09-24-wav2vec2_base_igbo_en.md
new file mode 100644
index 00000000000000..bca3fda5eb2bcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-wav2vec2_base_igbo_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English wav2vec2_base_igbo WhisperForCTC from Msughterx
+author: John Snow Labs
+name: wav2vec2_base_igbo
+date: 2024-09-24
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wav2vec2_base_igbo` is a English model originally trained by Msughterx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wav2vec2_base_igbo_en_5.5.0_3.0_1727145263148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wav2vec2_base_igbo_en_5.5.0_3.0_1727145263148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_portuguese_pedropauletti|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|pt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/pedropauletti/whisper-small-pt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-wikibert_base_parsinlu_entailment_fa.md b/docs/_posts/ahmedlone127/2024-09-24-wikibert_base_parsinlu_entailment_fa.md
new file mode 100644
index 00000000000000..dd508a63958234
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-wikibert_base_parsinlu_entailment_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian wikibert_base_parsinlu_entailment BertForSequenceClassification from persiannlp
+author: John Snow Labs
+name: wikibert_base_parsinlu_entailment
+date: 2024-09-24
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wikibert_base_parsinlu_entailment` is a Persian model originally trained by persiannlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikibert_base_parsinlu_entailment_fa_5.5.0_3.0_1727219331306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wikibert_base_parsinlu_entailment_fa_5.5.0_3.0_1727219331306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikibert_base_parsinlu_entailment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|380.3 MB|
+
+## References
+
+https://huggingface.co/persiannlp/wikibert-base-parsinlu-entailment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-wikibert_base_parsinlu_entailment_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-24-wikibert_base_parsinlu_entailment_pipeline_fa.md
new file mode 100644
index 00000000000000..70cc1a1cd2df88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-wikibert_base_parsinlu_entailment_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian wikibert_base_parsinlu_entailment_pipeline pipeline BertForSequenceClassification from persiannlp
+author: John Snow Labs
+name: wikibert_base_parsinlu_entailment_pipeline
+date: 2024-09-24
+tags: [fa, open_source, pipeline, onnx]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wikibert_base_parsinlu_entailment_pipeline` is a Persian model originally trained by persiannlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikibert_base_parsinlu_entailment_pipeline_fa_5.5.0_3.0_1727219350247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wikibert_base_parsinlu_entailment_pipeline_fa_5.5.0_3.0_1727219350247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wikibert_base_parsinlu_entailment_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wikibert_base_parsinlu_entailment_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikibert_base_parsinlu_entailment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|380.3 MB|
+
+## References
+
+https://huggingface.co/persiannlp/wikibert-base-parsinlu-entailment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-wineberto_ner_en.md b/docs/_posts/ahmedlone127/2024-09-24-wineberto_ner_en.md
new file mode 100644
index 00000000000000..4a1a00c6f4d05a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-wineberto_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English wineberto_ner BertForTokenClassification from panigrah
+author: John Snow Labs
+name: wineberto_ner
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wineberto_ner` is a English model originally trained by panigrah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wineberto_ner_en_5.5.0_3.0_1727203626360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wineberto_ner_en_5.5.0_3.0_1727203626360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wineberto_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/panigrah/wineberto-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-wineberto_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-wineberto_ner_pipeline_en.md
new file mode 100644
index 00000000000000..6efe3745e5d6ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-wineberto_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English wineberto_ner_pipeline pipeline BertForTokenClassification from panigrah
+author: John Snow Labs
+name: wineberto_ner_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wineberto_ner_pipeline` is a English model originally trained by panigrah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wineberto_ner_pipeline_en_5.5.0_3.0_1727203648432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wineberto_ner_pipeline_en_5.5.0_3.0_1727203648432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wineberto_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wineberto_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wineberto_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/panigrah/wineberto-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline_en.md
new file mode 100644
index 00000000000000..b27d4eb7c76015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline pipeline XlmRoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline_en_5.5.0_3.0_1727152814072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline_en_5.5.0_3.0_1727152814072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_iberautextification2024_7030_4epo_task1_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|894.7 MB|
+
+## References
+
+https://huggingface.co/vg055/xlm-roberta-base-finetuned-IberAuTexTification2024-7030-4epo-task1-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_marc_tielupeng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_marc_tielupeng_pipeline_en.md
new file mode 100644
index 00000000000000..8d1513dd841347
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_marc_tielupeng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_tielupeng_pipeline pipeline XlmRoBertaForSequenceClassification from tielupeng
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_tielupeng_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_tielupeng_pipeline` is a English model originally trained by tielupeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_tielupeng_pipeline_en_5.5.0_3.0_1727156675655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_tielupeng_pipeline_en_5.5.0_3.0_1727156675655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_marc_tielupeng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_marc_tielupeng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_tielupeng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|835.1 MB|
+
+## References
+
+https://huggingface.co/tielupeng/xlm-roberta-base-finetuned-marc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_english_khadija267_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_english_khadija267_en.md
new file mode 100644
index 00000000000000..a8f2af5d235f51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_english_khadija267_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_khadija267 XlmRoBertaForTokenClassification from khadija267
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_khadija267
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_khadija267` is a English model originally trained by khadija267.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_khadija267_en_5.5.0_3.0_1727160892552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_khadija267_en_5.5.0_3.0_1727160892552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_khadija267|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/khadija267/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_cyrildever_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_cyrildever_en.md
new file mode 100644
index 00000000000000..878def22d053cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_cyrildever_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_cyrildever XlmRoBertaForTokenClassification from cyrildever
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_cyrildever
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_cyrildever` is a English model originally trained by cyrildever.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_cyrildever_en_5.5.0_3.0_1727148148262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_cyrildever_en_5.5.0_3.0_1727148148262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_cyrildever|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|831.2 MB|
+
+## References
+
+https://huggingface.co/cyrildever/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_ridealist_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_ridealist_pipeline_en.md
new file mode 100644
index 00000000000000..8098d39588e8d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_ridealist_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ridealist_pipeline pipeline XlmRoBertaForTokenClassification from Ridealist
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ridealist_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ridealist_pipeline` is a English model originally trained by Ridealist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ridealist_pipeline_en_5.5.0_3.0_1727147792847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ridealist_pipeline_en_5.5.0_3.0_1727147792847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ridealist_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ridealist_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ridealist_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/Ridealist/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_zebans_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_zebans_en.md
new file mode 100644
index 00000000000000..827d75ce5e06e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_french_zebans_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_zebans XlmRoBertaForTokenClassification from zebans
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_zebans
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_zebans` is a English model originally trained by zebans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_zebans_en_5.5.0_3.0_1727160536340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_zebans_en_5.5.0_3.0_1727160536340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_zebans|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|831.2 MB|
+
+## References
+
+https://huggingface.co/zebans/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_dasooo_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_dasooo_en.md
new file mode 100644
index 00000000000000..19602d988689e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_dasooo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_dasooo XlmRoBertaForTokenClassification from daSooo
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_dasooo
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_dasooo` is a English model originally trained by daSooo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_dasooo_en_5.5.0_3.0_1727180293698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_dasooo_en_5.5.0_3.0_1727180293698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_dasooo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/daSooo/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_isaacp_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_isaacp_en.md
new file mode 100644
index 00000000000000..78eab5801e6db5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_isaacp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_isaacp XlmRoBertaForTokenClassification from Isaacp
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_isaacp
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_isaacp` is a English model originally trained by Isaacp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_isaacp_en_5.5.0_3.0_1727147434563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_isaacp_en_5.5.0_3.0_1727147434563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_isaacp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/Isaacp/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_ysige_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_ysige_en.md
new file mode 100644
index 00000000000000..bb99e12f495196
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_french_ysige_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_ysige XlmRoBertaForTokenClassification from ysige
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_ysige
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_ysige` is a English model originally trained by ysige.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_ysige_en_5.5.0_3.0_1727214815789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_ysige_en_5.5.0_3.0_1727214815789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_ysige|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/ysige/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_hirosay_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_hirosay_en.md
new file mode 100644
index 00000000000000..e2c9bac49ae777
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_hirosay_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_hirosay XlmRoBertaForTokenClassification from hirosay
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_hirosay
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_hirosay` is a English model originally trained by hirosay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_hirosay_en_5.5.0_3.0_1727214830655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_hirosay_en_5.5.0_3.0_1727214830655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_hirosay|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/hirosay/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_hirosay_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_hirosay_pipeline_en.md
new file mode 100644
index 00000000000000..644244ca5c4283
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_hirosay_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_hirosay_pipeline pipeline XlmRoBertaForTokenClassification from hirosay
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_hirosay_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_hirosay_pipeline` is a English model originally trained by hirosay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_hirosay_pipeline_en_5.5.0_3.0_1727214903264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_hirosay_pipeline_en_5.5.0_3.0_1727214903264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_hirosay_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_hirosay_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_hirosay_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/hirosay/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_laurentiustancioiu_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_laurentiustancioiu_en.md
new file mode 100644
index 00000000000000..ba1a8eb9efa145
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_laurentiustancioiu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_laurentiustancioiu XlmRoBertaForTokenClassification from LaurentiuStancioiu
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_laurentiustancioiu
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_laurentiustancioiu` is a English model originally trained by LaurentiuStancioiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_laurentiustancioiu_en_5.5.0_3.0_1727214813344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_laurentiustancioiu_en_5.5.0_3.0_1727214813344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_laurentiustancioiu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_param_mehta_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_param_mehta_en.md
new file mode 100644
index 00000000000000..f91f198320e9b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_param_mehta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_param_mehta XlmRoBertaForTokenClassification from param-mehta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_param_mehta
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_param_mehta` is a English model originally trained by param-mehta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_param_mehta_en_5.5.0_3.0_1727215226799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_param_mehta_en_5.5.0_3.0_1727215226799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_param_mehta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|841.1 MB|
+
+## References
+
+https://huggingface.co/param-mehta/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline_en.md
new file mode 100644
index 00000000000000..961480b8010717
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline pipeline XlmRoBertaForTokenClassification from param-mehta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline` is a English model originally trained by param-mehta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline_en_5.5.0_3.0_1727215312498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline_en_5.5.0_3.0_1727215312498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_param_mehta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|841.2 MB|
+
+## References
+
+https://huggingface.co/param-mehta/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_youngbreadho_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_youngbreadho_en.md
new file mode 100644
index 00000000000000..dbff1a6fc9ff6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_german_youngbreadho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_youngbreadho XlmRoBertaForTokenClassification from youngbreadho
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_youngbreadho
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_youngbreadho` is a English model originally trained by youngbreadho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_youngbreadho_en_5.5.0_3.0_1727215193256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_youngbreadho_en_5.5.0_3.0_1727215193256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_youngbreadho|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|857.8 MB|
+
+## References
+
+https://huggingface.co/youngbreadho/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline_en.md
new file mode 100644
index 00000000000000..dbb7386fcfb873
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline pipeline XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline_en_5.5.0_3.0_1727147963171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline_en_5.5.0_3.0_1727147963171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_hindi_urdu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.1 MB|
+
+## References
+
+https://huggingface.co/DeepaPeri/xlm-roberta-base-finetuned-panx-hi-ur
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_italian_khadija267_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_italian_khadija267_en.md
new file mode 100644
index 00000000000000..f2692a521846ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_italian_khadija267_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_khadija267 XlmRoBertaForTokenClassification from khadija267
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_khadija267
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_khadija267` is a English model originally trained by khadija267.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_khadija267_en_5.5.0_3.0_1727174887087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_khadija267_en_5.5.0_3.0_1727174887087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_khadija267|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/khadija267/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_mixed_aug_swap_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_mixed_aug_swap_pipeline_en.md
new file mode 100644
index 00000000000000..33071f17ec7a32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_mixed_aug_swap_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_mixed_aug_swap_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_mixed_aug_swap_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_mixed_aug_swap_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_aug_swap_pipeline_en_5.5.0_3.0_1727153213563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mixed_aug_swap_pipeline_en_5.5.0_3.0_1727153213563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_mixed_aug_swap_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_mixed_aug_swap_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_mixed_aug_swap_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|796.2 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Mixed-aug_swap
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_pharmaconer_kanansharmaa_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_pharmaconer_kanansharmaa_en.md
new file mode 100644
index 00000000000000..3134784b614898
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_pharmaconer_kanansharmaa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_pharmaconer_kanansharmaa RoBertaForTokenClassification from kanansharmaa
+author: John Snow Labs
+name: xlm_roberta_base_pharmaconer_kanansharmaa
+date: 2024-09-24
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_pharmaconer_kanansharmaa` is a English model originally trained by kanansharmaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_pharmaconer_kanansharmaa_en_5.5.0_3.0_1727139613353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_pharmaconer_kanansharmaa_en_5.5.0_3.0_1727139613353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_pharmaconer_kanansharmaa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|829.0 MB|
+
+## References
+
+https://huggingface.co/kanansharmaa/xlm-roberta-base-pharmaconer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_russian_sentiment_liniscrowd_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_russian_sentiment_liniscrowd_en.md
new file mode 100644
index 00000000000000..1b7378ced619f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_russian_sentiment_liniscrowd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_russian_sentiment_liniscrowd XlmRoBertaForSequenceClassification from sismetanin
+author: John Snow Labs
+name: xlm_roberta_base_russian_sentiment_liniscrowd
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_russian_sentiment_liniscrowd` is a English model originally trained by sismetanin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_russian_sentiment_liniscrowd_en_5.5.0_3.0_1727152693144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_russian_sentiment_liniscrowd_en_5.5.0_3.0_1727152693144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_russian_sentiment_liniscrowd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|800.0 MB|
+
+## References
+
+https://huggingface.co/sismetanin/xlm_roberta_base-ru-sentiment-liniscrowd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_vietnam_aug_swap_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_vietnam_aug_swap_pipeline_en.md
new file mode 100644
index 00000000000000..b111e1f8fac0dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_vietnam_aug_swap_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_vietnam_aug_swap_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_vietnam_aug_swap_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_vietnam_aug_swap_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_vietnam_aug_swap_pipeline_en_5.5.0_3.0_1727152761189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_vietnam_aug_swap_pipeline_en_5.5.0_3.0_1727152761189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_vietnam_aug_swap_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_vietnam_aug_swap_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_vietnam_aug_swap_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.3 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-VietNam-aug_swap
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline_en.md
new file mode 100644
index 00000000000000..ee38ed1defc192
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline_en_5.5.0_3.0_1727152675534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline_en_5.5.0_3.0_1727152675534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_v_base_trimmed_german_tweet_sentiment_german_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|750.9 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-de-tweet-sentiment-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlmr_estonian_english_all_shuffled_1986_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlmr_estonian_english_all_shuffled_1986_test1000_en.md
new file mode 100644
index 00000000000000..c86e97db5e5d0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlmr_estonian_english_all_shuffled_1986_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_estonian_english_all_shuffled_1986_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_estonian_english_all_shuffled_1986_test1000
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_estonian_english_all_shuffled_1986_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_estonian_english_all_shuffled_1986_test1000_en_5.5.0_3.0_1727155839562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_estonian_english_all_shuffled_1986_test1000_en_5.5.0_3.0_1727155839562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_estonian_english_all_shuffled_1986_test1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|820.5 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-et-en-all_shuffled-1986-test1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlmr_semantic_textual_relatedness_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlmr_semantic_textual_relatedness_en.md
new file mode 100644
index 00000000000000..430ae9c0560951
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlmr_semantic_textual_relatedness_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_semantic_textual_relatedness XlmRoBertaForSequenceClassification from kietnt0603
+author: John Snow Labs
+name: xlmr_semantic_textual_relatedness
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_semantic_textual_relatedness` is a English model originally trained by kietnt0603.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_semantic_textual_relatedness_en_5.5.0_3.0_1727156208292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_semantic_textual_relatedness_en_5.5.0_3.0_1727156208292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_moghis_base_finetuned_panx|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|fr|
+|Size:|840.9 MB|
+
+## References
+
+References
+
+- https://huggingface.co/moghis/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlmroberta_ner_moghis_base_finetuned_panx_pipeline_fr.md b/docs/_posts/ahmedlone127/2024-09-24-xlmroberta_ner_moghis_base_finetuned_panx_pipeline_fr.md
new file mode 100644
index 00000000000000..e1713b7fd9f52e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlmroberta_ner_moghis_base_finetuned_panx_pipeline_fr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: French xlmroberta_ner_moghis_base_finetuned_panx_pipeline pipeline XlmRoBertaForTokenClassification from moghis
+author: John Snow Labs
+name: xlmroberta_ner_moghis_base_finetuned_panx_pipeline
+date: 2024-09-24
+tags: [fr, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmroberta_ner_moghis_base_finetuned_panx_pipeline` is a French model originally trained by moghis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_moghis_base_finetuned_panx_pipeline_fr_5.5.0_3.0_1727215088565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_moghis_base_finetuned_panx_pipeline_fr_5.5.0_3.0_1727215088565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_ner_moghis_base_finetuned_panx_pipeline", lang = "fr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_ner_moghis_base_finetuned_panx_pipeline", lang = "fr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_moghis_base_finetuned_panx_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fr|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/moghis/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-2d_oomv2_800_en.md b/docs/_posts/ahmedlone127/2024-09-25-2d_oomv2_800_en.md
new file mode 100644
index 00000000000000..168ee37ad7b9fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-2d_oomv2_800_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2d_oomv2_800 BertForSequenceClassification from abbassix
+author: John Snow Labs
+name: 2d_oomv2_800
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2d_oomv2_800` is a English model originally trained by abbassix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2d_oomv2_800_en_5.5.0_3.0_1727288371864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2d_oomv2_800_en_5.5.0_3.0_1727288371864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2d_oomv2_800|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/abbassix/2d_oomv2_800
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-2d_psn_1600_en.md b/docs/_posts/ahmedlone127/2024-09-25-2d_psn_1600_en.md
new file mode 100644
index 00000000000000..b0b45e0f0eada9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-2d_psn_1600_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2d_psn_1600 BertForSequenceClassification from abbassix
+author: John Snow Labs
+name: 2d_psn_1600
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2d_psn_1600` is a English model originally trained by abbassix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2d_psn_1600_en_5.5.0_3.0_1727276200209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2d_psn_1600_en_5.5.0_3.0_1727276200209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2d_psn_1600|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/abbassix/2d_psn_1600
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-acronyms_baseline_vert_correct_clinicalbert_en.md b/docs/_posts/ahmedlone127/2024-09-25-acronyms_baseline_vert_correct_clinicalbert_en.md
new file mode 100644
index 00000000000000..4e1e3bd81fc370
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-acronyms_baseline_vert_correct_clinicalbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English acronyms_baseline_vert_correct_clinicalbert BertForSequenceClassification from Wiggily
+author: John Snow Labs
+name: acronyms_baseline_vert_correct_clinicalbert
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`acronyms_baseline_vert_correct_clinicalbert` is a English model originally trained by Wiggily.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/acronyms_baseline_vert_correct_clinicalbert_en_5.5.0_3.0_1727245392430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/acronyms_baseline_vert_correct_clinicalbert_en_5.5.0_3.0_1727245392430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|acronyms_baseline_vert_correct_clinicalbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/Wiggily/acronyms_baseline_vert_correct_clinicalbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-adrv2024_markadamsmsba24_en.md b/docs/_posts/ahmedlone127/2024-09-25-adrv2024_markadamsmsba24_en.md
new file mode 100644
index 00000000000000..cd1b83272e7931
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-adrv2024_markadamsmsba24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adrv2024_markadamsmsba24 BertForSequenceClassification from MarkAdamsMSBA24
+author: John Snow Labs
+name: adrv2024_markadamsmsba24
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adrv2024_markadamsmsba24` is a English model originally trained by MarkAdamsMSBA24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adrv2024_markadamsmsba24_en_5.5.0_3.0_1727267305241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adrv2024_markadamsmsba24_en_5.5.0_3.0_1727267305241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adrv2024_markadamsmsba24|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MarkAdamsMSBA24/ADRv2024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-adrv2024_paragon_analytics_en.md b/docs/_posts/ahmedlone127/2024-09-25-adrv2024_paragon_analytics_en.md
new file mode 100644
index 00000000000000..ae86905aca6194
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-adrv2024_paragon_analytics_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adrv2024_paragon_analytics BertForSequenceClassification from paragon-analytics
+author: John Snow Labs
+name: adrv2024_paragon_analytics
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adrv2024_paragon_analytics` is a English model originally trained by paragon-analytics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adrv2024_paragon_analytics_en_5.5.0_3.0_1727268598866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adrv2024_paragon_analytics_en_5.5.0_3.0_1727268598866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adrv2024_paragon_analytics|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/paragon-analytics/ADRv2024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-adrv2024_paragon_analytics_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-adrv2024_paragon_analytics_pipeline_en.md
new file mode 100644
index 00000000000000..4a5da165abfb4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-adrv2024_paragon_analytics_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English adrv2024_paragon_analytics_pipeline pipeline BertForSequenceClassification from paragon-analytics
+author: John Snow Labs
+name: adrv2024_paragon_analytics_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adrv2024_paragon_analytics_pipeline` is a English model originally trained by paragon-analytics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adrv2024_paragon_analytics_pipeline_en_5.5.0_3.0_1727268620346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adrv2024_paragon_analytics_pipeline_en_5.5.0_3.0_1727268620346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adrv2024_paragon_analytics_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adrv2024_paragon_analytics_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adrv2024_paragon_analytics_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/paragon-analytics/ADRv2024
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-advance_bert_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-advance_bert_classification_pipeline_en.md
new file mode 100644
index 00000000000000..7a5e8d4a1b45bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-advance_bert_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English advance_bert_classification_pipeline pipeline BertForSequenceClassification from Kurkur99
+author: John Snow Labs
+name: advance_bert_classification_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`advance_bert_classification_pipeline` is a English model originally trained by Kurkur99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/advance_bert_classification_pipeline_en_5.5.0_3.0_1727269957471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/advance_bert_classification_pipeline_en_5.5.0_3.0_1727269957471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("advance_bert_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("advance_bert_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|advance_bert_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.1 MB|
+
+## References
+
+https://huggingface.co/Kurkur99/Advance_Bert_Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline_en.md
new file mode 100644
index 00000000000000..8a475e9031f6ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline pipeline BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline_en_5.5.0_3.0_1727287956799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline_en_5.5.0_3.0_1727287956799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aes_bert_base_sp90_lr1e_05_wr1e_01_wd1e_02_ep15_elsa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/aes_bert-base_sp90_lr1e-05_wr1e-01_wd1e-02_ep15_elsa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-aes_enem_models_sourcea_regression_from_bertimbau_large_c5_en.md b/docs/_posts/ahmedlone127/2024-09-25-aes_enem_models_sourcea_regression_from_bertimbau_large_c5_en.md
new file mode 100644
index 00000000000000..239ed97a46214c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-aes_enem_models_sourcea_regression_from_bertimbau_large_c5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English aes_enem_models_sourcea_regression_from_bertimbau_large_c5 BertForSequenceClassification from kamel-usp
+author: John Snow Labs
+name: aes_enem_models_sourcea_regression_from_bertimbau_large_c5
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aes_enem_models_sourcea_regression_from_bertimbau_large_c5` is a English model originally trained by kamel-usp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aes_enem_models_sourcea_regression_from_bertimbau_large_c5_en_5.5.0_3.0_1727261656934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aes_enem_models_sourcea_regression_from_bertimbau_large_c5_en_5.5.0_3.0_1727261656934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aes_enem_models_sourcea_regression_from_bertimbau_large_c5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/kamel-usp/aes_enem_models-sourceA-regression-from-bertimbau-large-C5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ag_news_38400_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-ag_news_38400_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..0f8a792179dc19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ag_news_38400_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ag_news_38400_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: ag_news_38400_bert_base_uncased
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_38400_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_38400_bert_base_uncased_en_5.5.0_3.0_1727222427253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_38400_bert_base_uncased_en_5.5.0_3.0_1727222427253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_38400_bert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/ag-news-38400-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-alberti_stanzas_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-alberti_stanzas_pipeline_en.md
new file mode 100644
index 00000000000000..b99a40fc10fd87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-alberti_stanzas_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alberti_stanzas_pipeline pipeline BertForSequenceClassification from alvp
+author: John Snow Labs
+name: alberti_stanzas_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alberti_stanzas_pipeline` is a English model originally trained by alvp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alberti_stanzas_pipeline_en_5.5.0_3.0_1727267423790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alberti_stanzas_pipeline_en_5.5.0_3.0_1727267423790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alberti_stanzas_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alberti_stanzas_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alberti_stanzas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|666.7 MB|
+
+## References
+
+https://huggingface.co/alvp/alberti-stanzas
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-albertv2_dc_unsorted_dec_cf_en.md b/docs/_posts/ahmedlone127/2024-09-25-albertv2_dc_unsorted_dec_cf_en.md
new file mode 100644
index 00000000000000..c60a873920f9fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-albertv2_dc_unsorted_dec_cf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albertv2_dc_unsorted_dec_cf BertForSequenceClassification from rpii2023
+author: John Snow Labs
+name: albertv2_dc_unsorted_dec_cf
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albertv2_dc_unsorted_dec_cf` is a English model originally trained by rpii2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albertv2_dc_unsorted_dec_cf_en_5.5.0_3.0_1727239459657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albertv2_dc_unsorted_dec_cf_en_5.5.0_3.0_1727239459657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albertv2_dc_unsorted_dec_cf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rpii2023/albertv2_DC_unsorted_DEC_CF
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-albertv2_dc_unsorted_dec_cf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-albertv2_dc_unsorted_dec_cf_pipeline_en.md
new file mode 100644
index 00000000000000..d9485925e26a78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-albertv2_dc_unsorted_dec_cf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albertv2_dc_unsorted_dec_cf_pipeline pipeline BertForSequenceClassification from rpii2023
+author: John Snow Labs
+name: albertv2_dc_unsorted_dec_cf_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albertv2_dc_unsorted_dec_cf_pipeline` is a English model originally trained by rpii2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albertv2_dc_unsorted_dec_cf_pipeline_en_5.5.0_3.0_1727239484248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albertv2_dc_unsorted_dec_cf_pipeline_en_5.5.0_3.0_1727239484248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albertv2_dc_unsorted_dec_cf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albertv2_dc_unsorted_dec_cf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albertv2_dc_unsorted_dec_cf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rpii2023/albertv2_DC_unsorted_DEC_CF
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-alsval_en.md b/docs/_posts/ahmedlone127/2024-09-25-alsval_en.md
new file mode 100644
index 00000000000000..cb341ee6e114b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-alsval_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English alsval BertForSequenceClassification from yeamerci
+author: John Snow Labs
+name: alsval
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alsval` is a English model originally trained by yeamerci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alsval_en_5.5.0_3.0_1727268126325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alsval_en_5.5.0_3.0_1727268126325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alsval|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|664.5 MB|
+
+## References
+
+https://huggingface.co/yeamerci/alsval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-alsval_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-alsval_pipeline_en.md
new file mode 100644
index 00000000000000..1ba604632e3b72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-alsval_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alsval_pipeline pipeline BertForSequenceClassification from yeamerci
+author: John Snow Labs
+name: alsval_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alsval_pipeline` is a English model originally trained by yeamerci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alsval_pipeline_en_5.5.0_3.0_1727268162233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alsval_pipeline_en_5.5.0_3.0_1727268162233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alsval_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alsval_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alsval_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|664.5 MB|
+
+## References
+
+https://huggingface.co/yeamerci/alsval
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_2_en.md b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_2_en.md
new file mode 100644
index 00000000000000..9e970332a74bf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amir_clinicalbert_2 BertForTokenClassification from amirali26
+author: John Snow Labs
+name: amir_clinicalbert_2
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amir_clinicalbert_2` is a English model originally trained by amirali26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_2_en_5.5.0_3.0_1727282119447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_2_en_5.5.0_3.0_1727282119447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amir_clinicalbert_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/amirali26/amir-clinicalbert-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_2_pipeline_en.md
new file mode 100644
index 00000000000000..413501e142efc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amir_clinicalbert_2_pipeline pipeline BertForTokenClassification from amirali26
+author: John Snow Labs
+name: amir_clinicalbert_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amir_clinicalbert_2_pipeline` is a English model originally trained by amirali26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_2_pipeline_en_5.5.0_3.0_1727282140590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_2_pipeline_en_5.5.0_3.0_1727282140590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amir_clinicalbert_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amir_clinicalbert_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amir_clinicalbert_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/amirali26/amir-clinicalbert-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_specialities_en.md b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_specialities_en.md
new file mode 100644
index 00000000000000..d0ad7550d1187f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_specialities_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amir_clinicalbert_specialities BertForTokenClassification from amirali26
+author: John Snow Labs
+name: amir_clinicalbert_specialities
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amir_clinicalbert_specialities` is a English model originally trained by amirali26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_specialities_en_5.5.0_3.0_1727260708867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_specialities_en_5.5.0_3.0_1727260708867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amir_clinicalbert_specialities|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/amirali26/amir-clinicalbert-specialities
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_specialities_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_specialities_pipeline_en.md
new file mode 100644
index 00000000000000..1721fd482c3bbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-amir_clinicalbert_specialities_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amir_clinicalbert_specialities_pipeline pipeline BertForTokenClassification from amirali26
+author: John Snow Labs
+name: amir_clinicalbert_specialities_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amir_clinicalbert_specialities_pipeline` is a English model originally trained by amirali26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_specialities_pipeline_en_5.5.0_3.0_1727260729965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amir_clinicalbert_specialities_pipeline_en_5.5.0_3.0_1727260729965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amir_clinicalbert_specialities_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amir_clinicalbert_specialities_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amir_clinicalbert_specialities_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/amirali26/amir-clinicalbert-specialities
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-anglicisms_spanish_beto_es.md b/docs/_posts/ahmedlone127/2024-09-25-anglicisms_spanish_beto_es.md
new file mode 100644
index 00000000000000..0124c95d597974
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-anglicisms_spanish_beto_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish anglicisms_spanish_beto BertForTokenClassification from lirondos
+author: John Snow Labs
+name: anglicisms_spanish_beto
+date: 2024-09-25
+tags: [es, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anglicisms_spanish_beto` is a Castilian, Spanish model originally trained by lirondos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anglicisms_spanish_beto_es_5.5.0_3.0_1727249839024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anglicisms_spanish_beto_es_5.5.0_3.0_1727249839024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anglicisms_spanish_beto|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/lirondos/anglicisms-spanish-beto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-arqmath_bert_base_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-arqmath_bert_base_cased_en.md
new file mode 100644
index 00000000000000..019ae9d313bd75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-arqmath_bert_base_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English arqmath_bert_base_cased BertForSequenceClassification from malteos
+author: John Snow Labs
+name: arqmath_bert_base_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arqmath_bert_base_cased` is a English model originally trained by malteos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arqmath_bert_base_cased_en_5.5.0_3.0_1727273232573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arqmath_bert_base_cased_en_5.5.0_3.0_1727273232573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arqmath_bert_base_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.7 MB|
+
+## References
+
+https://huggingface.co/malteos/arqmath-bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-authorparsermodel_de.md b/docs/_posts/ahmedlone127/2024-09-25-authorparsermodel_de.md
new file mode 100644
index 00000000000000..1d10fbc22c7ade
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-authorparsermodel_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German authorparsermodel BertForTokenClassification from GEOcite
+author: John Snow Labs
+name: authorparsermodel
+date: 2024-09-25
+tags: [de, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`authorparsermodel` is a German model originally trained by GEOcite.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/authorparsermodel_de_5.5.0_3.0_1727280916608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/authorparsermodel_de_5.5.0_3.0_1727280916608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|authorparsermodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/GEOcite/AuthorParserModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748792_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748792_pipeline_en.md
new file mode 100644
index 00000000000000..5758eea8fb0bfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748792_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_bertbase_imdb_1275748792_pipeline pipeline BertForSequenceClassification from sasha
+author: John Snow Labs
+name: autotrain_bertbase_imdb_1275748792_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_bertbase_imdb_1275748792_pipeline` is a English model originally trained by sasha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748792_pipeline_en_5.5.0_3.0_1727277487477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748792_pipeline_en_5.5.0_3.0_1727277487477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_bertbase_imdb_1275748792_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_bertbase_imdb_1275748792_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_bertbase_imdb_1275748792_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sasha/autotrain-BERTBase-imdb-1275748792
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748793_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748793_pipeline_en.md
new file mode 100644
index 00000000000000..6af0cba49af530
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748793_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_bertbase_imdb_1275748793_pipeline pipeline BertForSequenceClassification from sasha
+author: John Snow Labs
+name: autotrain_bertbase_imdb_1275748793_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_bertbase_imdb_1275748793_pipeline` is a English model originally trained by sasha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748793_pipeline_en_5.5.0_3.0_1727284881697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748793_pipeline_en_5.5.0_3.0_1727284881697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_bertbase_imdb_1275748793_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_bertbase_imdb_1275748793_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_bertbase_imdb_1275748793_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sasha/autotrain-BERTBase-imdb-1275748793
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-banglabert_generator_bn.md b/docs/_posts/ahmedlone127/2024-09-25-banglabert_generator_bn.md
new file mode 100644
index 00000000000000..3ea9e9f0f5d7a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-banglabert_generator_bn.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Bengali banglabert_generator BertEmbeddings from csebuetnlp
+author: John Snow Labs
+name: banglabert_generator
+date: 2024-09-25
+tags: [bn, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banglabert_generator` is a Bengali model originally trained by csebuetnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banglabert_generator_bn_5.5.0_3.0_1727240835855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banglabert_generator_bn_5.5.0_3.0_1727240835855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert_generator|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|bn|
+|Size:|130.0 MB|
+
+## References
+
+https://huggingface.co/csebuetnlp/banglabert_generator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-banglabert_generator_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-25-banglabert_generator_pipeline_bn.md
new file mode 100644
index 00000000000000..bcd28666242de2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-banglabert_generator_pipeline_bn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Bengali banglabert_generator_pipeline pipeline BertEmbeddings from csebuetnlp
+author: John Snow Labs
+name: banglabert_generator_pipeline
+date: 2024-09-25
+tags: [bn, open_source, pipeline, onnx]
+task: Embeddings
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banglabert_generator_pipeline` is a Bengali model originally trained by csebuetnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banglabert_generator_pipeline_bn_5.5.0_3.0_1727240842238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banglabert_generator_pipeline_bn_5.5.0_3.0_1727240842238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("banglabert_generator_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("banglabert_generator_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert_generator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|130.0 MB|
+
+## References
+
+https://huggingface.co/csebuetnlp/banglabert_generator
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-base_bert_finetuned_mtsamples_en.md b/docs/_posts/ahmedlone127/2024-09-25-base_bert_finetuned_mtsamples_en.md
new file mode 100644
index 00000000000000..f1693ed31295b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-base_bert_finetuned_mtsamples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English base_bert_finetuned_mtsamples BertForSequenceClassification from mnaylor
+author: John Snow Labs
+name: base_bert_finetuned_mtsamples
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_bert_finetuned_mtsamples` is a English model originally trained by mnaylor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_bert_finetuned_mtsamples_en_5.5.0_3.0_1727276195937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_bert_finetuned_mtsamples_en_5.5.0_3.0_1727276195937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_bert_finetuned_mtsamples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mnaylor/base-bert-finetuned-mtsamples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-base_bert_finetuned_mtsamples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-base_bert_finetuned_mtsamples_pipeline_en.md
new file mode 100644
index 00000000000000..017d8c81915876
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-base_bert_finetuned_mtsamples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English base_bert_finetuned_mtsamples_pipeline pipeline BertForSequenceClassification from mnaylor
+author: John Snow Labs
+name: base_bert_finetuned_mtsamples_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_bert_finetuned_mtsamples_pipeline` is a English model originally trained by mnaylor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_bert_finetuned_mtsamples_pipeline_en_5.5.0_3.0_1727276218426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_bert_finetuned_mtsamples_pipeline_en_5.5.0_3.0_1727276218426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("base_bert_finetuned_mtsamples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("base_bert_finetuned_mtsamples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_bert_finetuned_mtsamples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mnaylor/base-bert-finetuned-mtsamples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_amazon_product_classification_small_data_epoch_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_amazon_product_classification_small_data_epoch_2_pipeline_en.md
new file mode 100644
index 00000000000000..8199ee9276a584
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_amazon_product_classification_small_data_epoch_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_amazon_product_classification_small_data_epoch_2_pipeline pipeline BertForSequenceClassification from nthieu
+author: John Snow Labs
+name: bert_amazon_product_classification_small_data_epoch_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_amazon_product_classification_small_data_epoch_2_pipeline` is a English model originally trained by nthieu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_amazon_product_classification_small_data_epoch_2_pipeline_en_5.5.0_3.0_1727288372872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_amazon_product_classification_small_data_epoch_2_pipeline_en_5.5.0_3.0_1727288372872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_amazon_product_classification_small_data_epoch_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_amazon_product_classification_small_data_epoch_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_amazon_product_classification_small_data_epoch_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/nthieu/bert-amazon-product-classification-small-data-epoch-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_andriydovgal_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_andriydovgal_en.md
new file mode 100644
index 00000000000000..d4728bf5cd7f64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_andriydovgal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_andriydovgal BertForSequenceClassification from andriydovgal
+author: John Snow Labs
+name: bert_base_banking77_pt2_andriydovgal
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_andriydovgal` is a English model originally trained by andriydovgal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_andriydovgal_en_5.5.0_3.0_1727267267008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_andriydovgal_en_5.5.0_3.0_1727267267008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_andriydovgal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/andriydovgal/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_bakuretso_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_bakuretso_en.md
new file mode 100644
index 00000000000000..367bd93b5a6379
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_bakuretso_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_bakuretso BertForSequenceClassification from Bakuretso
+author: John Snow Labs
+name: bert_base_banking77_pt2_bakuretso
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_bakuretso` is a English model originally trained by Bakuretso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_bakuretso_en_5.5.0_3.0_1727266221799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_bakuretso_en_5.5.0_3.0_1727266221799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_bakuretso|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Bakuretso/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_dangdana_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_dangdana_pipeline_en.md
new file mode 100644
index 00000000000000..f8b1e265acd0b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_dangdana_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_dangdana_pipeline pipeline BertForSequenceClassification from dangdana
+author: John Snow Labs
+name: bert_base_banking77_pt2_dangdana_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_dangdana_pipeline` is a English model originally trained by dangdana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_dangdana_pipeline_en_5.5.0_3.0_1727268699035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_dangdana_pipeline_en_5.5.0_3.0_1727268699035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_dangdana_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_dangdana_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_dangdana_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/dangdana/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_psj0919_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_psj0919_pipeline_en.md
new file mode 100644
index 00000000000000..b562bbe1f78ca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_psj0919_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_psj0919_pipeline pipeline BertForSequenceClassification from psj0919
+author: John Snow Labs
+name: bert_base_banking77_pt2_psj0919_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_psj0919_pipeline` is a English model originally trained by psj0919.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_psj0919_pipeline_en_5.5.0_3.0_1727266525860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_psj0919_pipeline_en_5.5.0_3.0_1727266525860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_psj0919_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_psj0919_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_psj0919_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/psj0919/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tonyla25_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tonyla25_en.md
new file mode 100644
index 00000000000000..1917bfc577377d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tonyla25_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_tonyla25 BertForSequenceClassification from tonyla25
+author: John Snow Labs
+name: bert_base_banking77_pt2_tonyla25
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_tonyla25` is a English model originally trained by tonyla25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tonyla25_en_5.5.0_3.0_1727268905496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tonyla25_en_5.5.0_3.0_1727268905496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_bookcorpus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|406.3 MB|
+
+## References
+
+References
+
+https://huggingface.co/nicholasKluge/bert-base-bookcorpus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_buddhist_sanskrit_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_buddhist_sanskrit_en.md
new file mode 100644
index 00000000000000..2716ceae4cf0ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_buddhist_sanskrit_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_buddhist_sanskrit BertEmbeddings from Matej
+author: John Snow Labs
+name: bert_base_buddhist_sanskrit
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_buddhist_sanskrit` is a English model originally trained by Matej.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_buddhist_sanskrit_en_5.5.0_3.0_1727254998263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_buddhist_sanskrit_en_5.5.0_3.0_1727254998263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_buddhist_sanskrit|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Matej/bert-base-buddhist-sanskrit
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_case_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_case_ner_pipeline_en.md
new file mode 100644
index 00000000000000..bc158d8d5a7486
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_case_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_case_ner_pipeline pipeline BertForTokenClassification from raulgdp
+author: John Snow Labs
+name: bert_base_case_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_case_ner_pipeline` is a English model originally trained by raulgdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_case_ner_pipeline_en_5.5.0_3.0_1727280259153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_case_ner_pipeline_en_5.5.0_3.0_1727280259153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_case_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_case_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_case_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/raulgdp/bert-base-case-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_0210_celential_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_0210_celential_en.md
new file mode 100644
index 00000000000000..6434d9ea67151b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_0210_celential_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_0210_celential BertForSequenceClassification from feiyangDu
+author: John Snow Labs
+name: bert_base_cased_0210_celential
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_0210_celential` is a English model originally trained by feiyangDu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_0210_celential_en_5.5.0_3.0_1727285678748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_0210_celential_en_5.5.0_3.0_1727285678748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_0210_celential|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/feiyangDu/bert-base-cased-0210-celential
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_cola_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_cola_en.md
new file mode 100644
index 00000000000000..075ad379cfff85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_cola BertForSequenceClassification from gmihaila
+author: John Snow Labs
+name: bert_base_cased_cola
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_cola` is a English model originally trained by gmihaila.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_cola_en_5.5.0_3.0_1727287559197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_cola_en_5.5.0_3.0_1727287559197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_cola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/gmihaila/bert-base-cased-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_english_sentweet_derogatory_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_english_sentweet_derogatory_pipeline_en.md
new file mode 100644
index 00000000000000..8c203e81d778fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_english_sentweet_derogatory_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_english_sentweet_derogatory_pipeline pipeline BertForSequenceClassification from jayanta
+author: John Snow Labs
+name: bert_base_cased_english_sentweet_derogatory_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_english_sentweet_derogatory_pipeline` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_derogatory_pipeline_en_5.5.0_3.0_1727288791450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_derogatory_pipeline_en_5.5.0_3.0_1727288791450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_english_sentweet_derogatory_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_english_sentweet_derogatory_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_english_sentweet_derogatory_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jayanta/bert-base-cased-english-sentweet-Derogatory
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_ner_bc2gm_iob_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_ner_bc2gm_iob_en.md
new file mode 100644
index 00000000000000..473d6fc34f6ca8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_ner_bc2gm_iob_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_ner_bc2gm_iob BertForTokenClassification from DunnBC22
+author: John Snow Labs
+name: bert_base_cased_finetuned_ner_bc2gm_iob
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_ner_bc2gm_iob` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_bc2gm_iob_en_5.5.0_3.0_1727284110801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_bc2gm_iob_en_5.5.0_3.0_1727284110801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_ner_bc2gm_iob|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-cased-finetuned-ner-BC2GM-IOB
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_textcls_rheology_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_textcls_rheology_pipeline_en.md
new file mode 100644
index 00000000000000..69490b4cda4fd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_textcls_rheology_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_textcls_rheology_pipeline pipeline BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_cased_textcls_rheology_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_textcls_rheology_pipeline` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_textcls_rheology_pipeline_en_5.5.0_3.0_1727272973625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_textcls_rheology_pipeline_en_5.5.0_3.0_1727272973625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_textcls_rheology_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_textcls_rheology_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_textcls_rheology_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-cased-textCLS-RHEOLOGY
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline_en.md
new file mode 100644
index 00000000000000..8f684b6dfa984b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline pipeline BertForSequenceClassification from Wiebke
+author: John Snow Labs
+name: bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline` is a English model originally trained by Wiebke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline_en_5.5.0_3.0_1727284527197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline_en_5.5.0_3.0_1727284527197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_casedepoch3_sexist_baseline_with_reddit_and_gabfortest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Wiebke/bert-base-casedepoch3_sexist_baseline_with_reddit_and_gabfortest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_climate_risk_opportunity_prediction_v4_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_climate_risk_opportunity_prediction_v4_en.md
new file mode 100644
index 00000000000000..a8ec49ea35b2de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_climate_risk_opportunity_prediction_v4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_climate_risk_opportunity_prediction_v4 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_risk_opportunity_prediction_v4
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_climate_risk_opportunity_prediction_v4` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_v4_en_5.5.0_3.0_1727285677709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_v4_en_5.5.0_3.0_1727285677709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuning_financial_news_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-finetuning-financial-news-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_code_classification_mid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_code_classification_mid_pipeline_en.md
new file mode 100644
index 00000000000000..cdc5e6e19a3242
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_code_classification_mid_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_code_classification_mid_pipeline pipeline BertForSequenceClassification from JUNstats
+author: John Snow Labs
+name: bert_base_finetuned_code_classification_mid_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_code_classification_mid_pipeline` is a English model originally trained by JUNstats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_code_classification_mid_pipeline_en_5.5.0_3.0_1727286164330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_code_classification_mid_pipeline_en_5.5.0_3.0_1727286164330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_code_classification_mid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_code_classification_mid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_code_classification_mid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/JUNstats/bert-base-finetuned-code-classification-mid
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_masakhaner_amh_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_masakhaner_amh_en.md
new file mode 100644
index 00000000000000..d07be6cb1cf7ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_masakhaner_amh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_masakhaner_amh BertForTokenClassification from TokenfreeEMNLPSubmission
+author: John Snow Labs
+name: bert_base_finetuned_masakhaner_amh
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_masakhaner_amh` is a English model originally trained by TokenfreeEMNLPSubmission.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_masakhaner_amh_en_5.5.0_3.0_1727283797535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_masakhaner_amh_en_5.5.0_3.0_1727283797535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_masakhaner_amh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/TokenfreeEMNLPSubmission/bert-base-finetuned-masakhaner-amh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_masakhaner_amh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_masakhaner_amh_pipeline_en.md
new file mode 100644
index 00000000000000..faa43e947fa524
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_masakhaner_amh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_masakhaner_amh_pipeline pipeline BertForTokenClassification from TokenfreeEMNLPSubmission
+author: John Snow Labs
+name: bert_base_finetuned_masakhaner_amh_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_masakhaner_amh_pipeline` is a English model originally trained by TokenfreeEMNLPSubmission.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_masakhaner_amh_pipeline_en_5.5.0_3.0_1727283818894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_masakhaner_amh_pipeline_en_5.5.0_3.0_1727283818894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_masakhaner_amh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_masakhaner_amh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_masakhaner_amh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/TokenfreeEMNLPSubmission/bert-base-finetuned-masakhaner-amh
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_sts_rurupang_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_sts_rurupang_en.md
new file mode 100644
index 00000000000000..11d22145199121
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_sts_rurupang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_rurupang BertForSequenceClassification from rurupang
+author: John Snow Labs
+name: bert_base_finetuned_sts_rurupang
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_sts_rurupang` is a English model originally trained by rurupang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_rurupang_en_5.5.0_3.0_1727279480961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_rurupang_en_5.5.0_3.0_1727279480961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_sts_rurupang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/rurupang/bert-base-finetuned-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_sts_rurupang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_sts_rurupang_pipeline_en.md
new file mode 100644
index 00000000000000..5d5f7983a81083
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_sts_rurupang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_rurupang_pipeline pipeline BertForSequenceClassification from rurupang
+author: John Snow Labs
+name: bert_base_finetuned_sts_rurupang_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_sts_rurupang_pipeline` is a English model originally trained by rurupang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_rurupang_pipeline_en_5.5.0_3.0_1727279502720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_rurupang_pipeline_en_5.5.0_3.0_1727279502720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_sts_rurupang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_sts_rurupang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_sts_rurupang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/rurupang/bert-base-finetuned-sts
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_zgotter_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_zgotter_en.md
new file mode 100644
index 00000000000000..c754609d5786d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_zgotter_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_ynat_zgotter BertForSequenceClassification from zgotter
+author: John Snow Labs
+name: bert_base_finetuned_ynat_zgotter
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_ynat_zgotter` is a English model originally trained by zgotter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_zgotter_en_5.5.0_3.0_1727268694344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_zgotter_en_5.5.0_3.0_1727268694344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_ynat_zgotter|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/zgotter/bert-base-finetuned-ynat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_zgotter_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_zgotter_pipeline_en.md
new file mode 100644
index 00000000000000..e113568d0e3e33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_zgotter_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_ynat_zgotter_pipeline pipeline BertForSequenceClassification from zgotter
+author: John Snow Labs
+name: bert_base_finetuned_ynat_zgotter_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_ynat_zgotter_pipeline` is a English model originally trained by zgotter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_zgotter_pipeline_en_5.5.0_3.0_1727268718283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_zgotter_pipeline_en_5.5.0_3.0_1727268718283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_ynat_zgotter_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_ynat_zgotter_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_ynat_zgotter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/zgotter/bert-base-finetuned-ynat
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_archaeo_ner_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_archaeo_ner_pipeline_de.md
new file mode 100644
index 00000000000000..2c0b1d4905fc3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_archaeo_ner_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German bert_base_german_cased_archaeo_ner_pipeline pipeline BertForTokenClassification from alexbrandsen
+author: John Snow Labs
+name: bert_base_german_cased_archaeo_ner_pipeline
+date: 2024-09-25
+tags: [de, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_cased_archaeo_ner_pipeline` is a German model originally trained by alexbrandsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_archaeo_ner_pipeline_de_5.5.0_3.0_1727246633648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_archaeo_ner_pipeline_de_5.5.0_3.0_1727246633648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_german_cased_archaeo_ner_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_german_cased_archaeo_ner_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_archaeo_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/alexbrandsen/bert-base-german-cased-archaeo-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_en.md
new file mode 100644
index 00000000000000..724709b01dd673
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2 BertForTokenClassification from tbosse
+author: John Snow Labs
+name: bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2` is a English model originally trained by tbosse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_en_5.5.0_3.0_1727260502352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_en_5.5.0_3.0_1727260502352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/tbosse/bert-base-german-cased-finetuned-subj_preTrained_with_noisyData_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_v6_7epoch_v3_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_v6_7epoch_v3_en.md
new file mode 100644
index 00000000000000..a1af598a3048f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_v6_7epoch_v3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_german_cased_finetuned_subj_v6_7epoch_v3 BertForTokenClassification from tbosse
+author: John Snow Labs
+name: bert_base_german_cased_finetuned_subj_v6_7epoch_v3
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_cased_finetuned_subj_v6_7epoch_v3` is a English model originally trained by tbosse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_v6_7epoch_v3_en_5.5.0_3.0_1727284295244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_v6_7epoch_v3_en_5.5.0_3.0_1727284295244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_finetuned_subj_v6_7epoch_v3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/tbosse/bert-base-german-cased-finetuned-subj_v6_7Epoch_v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline_en.md
new file mode 100644
index 00000000000000..ddc2658715bda6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline pipeline BertForTokenClassification from tbosse
+author: John Snow Labs
+name: bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline` is a English model originally trained by tbosse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline_en_5.5.0_3.0_1727280917448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline_en_5.5.0_3.0_1727280917448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_noisy_pretrain_fine_tuned_v1_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned_v1.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_italian_xxl_uncased_finetuned_emotions_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_italian_xxl_uncased_finetuned_emotions_en.md
new file mode 100644
index 00000000000000..398a31dad69102
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_italian_xxl_uncased_finetuned_emotions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_italian_xxl_uncased_finetuned_emotions BertForSequenceClassification from MelmaGrigia
+author: John Snow Labs
+name: bert_base_italian_xxl_uncased_finetuned_emotions
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_italian_xxl_uncased_finetuned_emotions` is a English model originally trained by MelmaGrigia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_italian_xxl_uncased_finetuned_emotions_en_5.5.0_3.0_1727222474327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_italian_xxl_uncased_finetuned_emotions_en_5.5.0_3.0_1727222474327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_italian_xxl_uncased_finetuned_emotions|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/MelmaGrigia/bert-base-italian-xxl-uncased-finetuned-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_pipeline_en.md
new file mode 100644
index 00000000000000..7848de87d384dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_massive_intent_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_massive_intent_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_massive_intent_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_pipeline_en_5.5.0_3.0_1727273214064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_pipeline_en_5.5.0_3.0_1727273214064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_massive_intent_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_massive_intent_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_massive_intent_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-base-Massive-intent
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_msmarco_fiqa_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_msmarco_fiqa_en.md
new file mode 100644
index 00000000000000..9220161ec6677c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_msmarco_fiqa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_msmarco_fiqa BertForSequenceClassification from vittoriomaggio
+author: John Snow Labs
+name: bert_base_msmarco_fiqa
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_msmarco_fiqa` is a English model originally trained by vittoriomaggio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_msmarco_fiqa_en_5.5.0_3.0_1727273470072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_msmarco_fiqa_en_5.5.0_3.0_1727273470072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_uncased_vaxxstance_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/nouman-10/bert-base-multilingual-uncased_vaxxstance_spanish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_nlp100_title_classification_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_nlp100_title_classification_en.md
new file mode 100644
index 00000000000000..c66436fbec6a2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_nlp100_title_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_nlp100_title_classification BertForSequenceClassification from udaizin
+author: John Snow Labs
+name: bert_base_nlp100_title_classification
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_nlp100_title_classification` is a English model originally trained by udaizin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_nlp100_title_classification_en_5.5.0_3.0_1727268187429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_nlp100_title_classification_en_5.5.0_3.0_1727268187429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_porsimplessent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ruanchaves/bert-base-portuguese-cased-porsimplessent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_fine_tuned_mrpc_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_fine_tuned_mrpc_en.md
new file mode 100644
index 00000000000000..35c10ed6246100
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_fine_tuned_mrpc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_portuguese_fine_tuned_mrpc BertForSequenceClassification from erickrribeiro
+author: John Snow Labs
+name: bert_base_portuguese_fine_tuned_mrpc
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_portuguese_fine_tuned_mrpc` is a English model originally trained by erickrribeiro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_fine_tuned_mrpc_en_5.5.0_3.0_1727273584144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_fine_tuned_mrpc_en_5.5.0_3.0_1727273584144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_socialdisner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/IIC/bert-base-spanish-wwm-cased-socialdisner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_socialdisner_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_socialdisner_pipeline_es.md
new file mode 100644
index 00000000000000..f5943e1434c66b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_socialdisner_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish bert_base_spanish_wwm_cased_socialdisner_pipeline pipeline BertForTokenClassification from IIC
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_socialdisner_pipeline
+date: 2024-09-25
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_wwm_cased_socialdisner_pipeline` is a Castilian, Spanish model originally trained by IIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_socialdisner_pipeline_es_5.5.0_3.0_1727284181712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_socialdisner_pipeline_es_5.5.0_3.0_1727284181712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_cased_socialdisner_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_cased_socialdisner_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_socialdisner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/IIC/bert-base-spanish-wwm-cased-socialdisner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..ac72248b6c5bbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline pipeline BertForTokenClassification from dccuchile
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline_en_5.5.0_3.0_1727271585281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline_en_5.5.0_3.0_1727271585281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_finetuned_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased-finetuned-pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_sst_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sst_pipeline_en.md
new file mode 100644
index 00000000000000..ca1855bbc9e289
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sst_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_sst_pipeline pipeline BertForSequenceClassification from hugmanskj
+author: John Snow Labs
+name: bert_base_sst_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_sst_pipeline` is a English model originally trained by hugmanskj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_sst_pipeline_en_5.5.0_3.0_1727286638169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_sst_pipeline_en_5.5.0_3.0_1727286638169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_sst_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_sst_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_sst_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/hugmanskj/bert-base-sst
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_temp_classifier_boot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_temp_classifier_boot_pipeline_en.md
new file mode 100644
index 00000000000000..318d08e3b1b823
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_temp_classifier_boot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_temp_classifier_boot_pipeline pipeline BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_base_temp_classifier_boot_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_temp_classifier_boot_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_temp_classifier_boot_pipeline_en_5.5.0_3.0_1727288190931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_temp_classifier_boot_pipeline_en_5.5.0_3.0_1727288190931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_temp_classifier_boot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_temp_classifier_boot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_temp_classifier_boot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/research-dump/bert_base_temp_classifier_boot
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_theseus_bulgarian_bg.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_theseus_bulgarian_bg.md
new file mode 100644
index 00000000000000..d45147a67b9d44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_theseus_bulgarian_bg.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Bulgarian bert_base_theseus_bulgarian BertEmbeddings from rmihaylov
+author: John Snow Labs
+name: bert_base_theseus_bulgarian
+date: 2024-09-25
+tags: [bg, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: bg
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_theseus_bulgarian` is a Bulgarian model originally trained by rmihaylov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_theseus_bulgarian_bg_5.5.0_3.0_1727258333284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_theseus_bulgarian_bg_5.5.0_3.0_1727258333284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_cased_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/ugrozkr/bert-base-turkish-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_turkish_cased_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_turkish_cased_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..e15bd2dcc387f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_turkish_cased_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_turkish_cased_finetuned_ner_pipeline pipeline BertForTokenClassification from ugrozkr
+author: John Snow Labs
+name: bert_base_turkish_cased_finetuned_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_turkish_cased_finetuned_ner_pipeline` is a English model originally trained by ugrozkr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_turkish_cased_finetuned_ner_pipeline_en_5.5.0_3.0_1727262513423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_turkish_cased_finetuned_ner_pipeline_en_5.5.0_3.0_1727262513423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_turkish_cased_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_turkish_cased_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_cased_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/ugrozkr/bert-base-turkish-cased-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_tweetner7_2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_tweetner7_2020_pipeline_en.md
new file mode 100644
index 00000000000000..541035ba2e944e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_tweetner7_2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_tweetner7_2020_pipeline pipeline BertForTokenClassification from tner
+author: John Snow Labs
+name: bert_base_tweetner7_2020_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_tweetner7_2020_pipeline` is a English model originally trained by tner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_tweetner7_2020_pipeline_en_5.5.0_3.0_1727264846427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_tweetner7_2020_pipeline_en_5.5.0_3.0_1727264846427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_tweetner7_2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_tweetner7_2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_tweetner7_2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/tner/bert-base-tweetner7-2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_en.md
new file mode 100644
index 00000000000000..fb9e3b4ff22450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_1802 BertEmbeddings from JamesKim
+author: John Snow Labs
+name: bert_base_uncased_1802
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_1802` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_en_5.5.0_3.0_1727256384007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_en_5.5.0_3.0_1727256384007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_1802|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/JamesKim/bert-base-uncased_1802
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_pipeline_en.md
new file mode 100644
index 00000000000000..9a85a1e8184bb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_1802_pipeline pipeline BertEmbeddings from JamesKim
+author: John Snow Labs
+name: bert_base_uncased_1802_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_1802_pipeline` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_pipeline_en_5.5.0_3.0_1727256405375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_pipeline_en_5.5.0_3.0_1727256405375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_1802_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_1802_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_1802_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/JamesKim/bert-base-uncased_1802
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_r2_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_r2_en.md
new file mode 100644
index 00000000000000..a2ee3d6f34a07c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_r2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_1802_r2 BertEmbeddings from JamesKim
+author: John Snow Labs
+name: bert_base_uncased_1802_r2
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_1802_r2` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_r2_en_5.5.0_3.0_1727236503350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_r2_en_5.5.0_3.0_1727236503350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_1802_r2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/JamesKim/bert-base-uncased_1802_r2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_r2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_r2_pipeline_en.md
new file mode 100644
index 00000000000000..68cd6277731f39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_1802_r2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_1802_r2_pipeline pipeline BertEmbeddings from JamesKim
+author: John Snow Labs
+name: bert_base_uncased_1802_r2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_1802_r2_pipeline` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_r2_pipeline_en_5.5.0_3.0_1727236525159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_r2_pipeline_en_5.5.0_3.0_1727236525159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_1802_r2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_1802_r2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_1802_r2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/JamesKim/bert-base-uncased_1802_r2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_8_50_0_01_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_8_50_0_01_en.md
new file mode 100644
index 00000000000000..0b6436310aa5e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_8_50_0_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_8_50_0_01 BertForSequenceClassification from daisyxie21
+author: John Snow Labs
+name: bert_base_uncased_8_50_0_01
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_8_50_0_01` is a English model originally trained by daisyxie21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_8_50_0_01_en_5.5.0_3.0_1727276675095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_8_50_0_01_en_5.5.0_3.0_1727276675095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_8_50_0_01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/daisyxie21/bert-base-uncased-8-50-0.01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ad_nonad_classifer_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ad_nonad_classifer_en.md
new file mode 100644
index 00000000000000..9d22e9ec8a3072
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ad_nonad_classifer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ad_nonad_classifer BertForSequenceClassification from Kaleemullah
+author: John Snow Labs
+name: bert_base_uncased_ad_nonad_classifer
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ad_nonad_classifer` is a English model originally trained by Kaleemullah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ad_nonad_classifer_en_5.5.0_3.0_1727285254090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ad_nonad_classifer_en_5.5.0_3.0_1727285254090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ad_nonad_classifer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kaleemullah/bert-base-uncased-ad-nonad-classifer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_airlines_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_airlines_en.md
new file mode 100644
index 00000000000000..2883afbfc6ca03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_airlines_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_airlines BertForSequenceClassification from tasosk
+author: John Snow Labs
+name: bert_base_uncased_airlines
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_airlines` is a English model originally trained by tasosk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_airlines_en_5.5.0_3.0_1727268558796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_airlines_en_5.5.0_3.0_1727268558796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_airlines|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/tasosk/bert-base-uncased-airlines
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_airlines_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_airlines_pipeline_en.md
new file mode 100644
index 00000000000000..3007c725f9a075
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_airlines_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_airlines_pipeline pipeline BertForSequenceClassification from tasosk
+author: John Snow Labs
+name: bert_base_uncased_airlines_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_airlines_pipeline` is a English model originally trained by tasosk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_airlines_pipeline_en_5.5.0_3.0_1727268581178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_airlines_pipeline_en_5.5.0_3.0_1727268581178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_airlines_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_airlines_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_airlines_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/tasosk/bert-base-uncased-airlines
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_en.md
new file mode 100644
index 00000000000000..3623d7eb6391c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_alerts04142023_rsplit_2000_category1_severity BertForSequenceClassification from slewis
+author: John Snow Labs
+name: bert_base_uncased_alerts04142023_rsplit_2000_category1_severity
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_alerts04142023_rsplit_2000_category1_severity` is a English model originally trained by slewis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_en_5.5.0_3.0_1727287688543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_en_5.5.0_3.0_1727287688543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_alerts04142023_rsplit_2000_category1_severity|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/slewis/bert-base-uncased_alerts04142023_rsplit_2000_Category1_Severity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline_en.md
new file mode 100644
index 00000000000000..73812e4fcdb964
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline pipeline BertForSequenceClassification from slewis
+author: John Snow Labs
+name: bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline` is a English model originally trained by slewis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline_en_5.5.0_3.0_1727287709665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline_en_5.5.0_3.0_1727287709665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_alerts04142023_rsplit_2000_category1_severity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/slewis/bert-base-uncased_alerts04142023_rsplit_2000_Category1_Severity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_cola_int8_indic_languages_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_cola_int8_indic_languages_en.md
new file mode 100644
index 00000000000000..377818af554ad7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_cola_int8_indic_languages_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_cola_int8_indic_languages BertForSequenceClassification from Intel
+author: John Snow Labs
+name: bert_base_uncased_cola_int8_indic_languages
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_cola_int8_indic_languages` is a English model originally trained by Intel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_int8_indic_languages_en_5.5.0_3.0_1727269236157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_int8_indic_languages_en_5.5.0_3.0_1727269236157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_cola_int8_indic_languages|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/Intel/bert-base-uncased-CoLA-int8-inc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_crows_pairs_classifieronly_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_crows_pairs_classifieronly_en.md
new file mode 100644
index 00000000000000..c0b08a9b1872d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_crows_pairs_classifieronly_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_crows_pairs_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: bert_base_uncased_crows_pairs_classifieronly
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_crows_pairs_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_crows_pairs_classifieronly_en_5.5.0_3.0_1727279543934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_crows_pairs_classifieronly_en_5.5.0_3.0_1727279543934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_crows_pairs_classifieronly|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/asun17904/bert-base-uncased_crows_pairs_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_dstc10_kb_title_body_validate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_dstc10_kb_title_body_validate_pipeline_en.md
new file mode 100644
index 00000000000000..9cd68482ba1f2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_dstc10_kb_title_body_validate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_dstc10_kb_title_body_validate_pipeline pipeline BertForSequenceClassification from wilsontam
+author: John Snow Labs
+name: bert_base_uncased_dstc10_kb_title_body_validate_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_dstc10_kb_title_body_validate_pipeline` is a English model originally trained by wilsontam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dstc10_kb_title_body_validate_pipeline_en_5.5.0_3.0_1727288135713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dstc10_kb_title_body_validate_pipeline_en_5.5.0_3.0_1727288135713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_dstc10_kb_title_body_validate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_dstc10_kb_title_body_validate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_dstc10_kb_title_body_validate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/wilsontam/bert-base-uncased-dstc10-kb-title-body-validate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_e_care_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_e_care_en.md
new file mode 100644
index 00000000000000..79155c80275a1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_e_care_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_e_care BertForQuestionAnswering from DunnBC22
+author: John Snow Labs
+name: bert_base_uncased_e_care
+date: 2024-09-25
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_e_care` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_e_care_en_5.5.0_3.0_1727239194784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_e_care_en_5.5.0_3.0_1727239194784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_e_care|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-uncased-e_CARE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ear_mlma_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ear_mlma_en.md
new file mode 100644
index 00000000000000..1edb8a10f0cb36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ear_mlma_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ear_mlma BertForSequenceClassification from MilaNLProc
+author: John Snow Labs
+name: bert_base_uncased_ear_mlma
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ear_mlma` is a English model originally trained by MilaNLProc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_mlma_en_5.5.0_3.0_1727263485878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_mlma_en_5.5.0_3.0_1727263485878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ear_mlma|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MilaNLProc/bert-base-uncased-ear-mlma
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_ft_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_ft_en.md
new file mode 100644
index 00000000000000..bc0b92d05fcdd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_ft BertForSequenceClassification from colingao
+author: John Snow Labs
+name: bert_base_uncased_emotion_ft
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotion_ft` is a English model originally trained by colingao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_ft_en_5.5.0_3.0_1727276584617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_ft_en_5.5.0_3.0_1727276584617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_emotion_ft|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/colingao/bert-base-uncased_emotion_ft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_fine_tuned_imdb_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_fine_tuned_imdb_en.md
new file mode 100644
index 00000000000000..31b84c43af0edc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_fine_tuned_imdb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_fine_tuned_imdb BertForSequenceClassification from shre-db
+author: John Snow Labs
+name: bert_base_uncased_fine_tuned_imdb
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_fine_tuned_imdb` is a English model originally trained by shre-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_imdb_en_5.5.0_3.0_1727261528486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_imdb_en_5.5.0_3.0_1727261528486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_fine_tuned_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/shre-db/Bert-Base-Uncased-Fine-Tuned-IMDB
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned2_cola_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned2_cola_en.md
new file mode 100644
index 00000000000000..9c81729ddb62a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned2_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned2_cola BertForSequenceClassification from ilkekas
+author: John Snow Labs
+name: bert_base_uncased_finetuned2_cola
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned2_cola` is a English model originally trained by ilkekas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned2_cola_en_5.5.0_3.0_1727267764170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned2_cola_en_5.5.0_3.0_1727267764170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned2_cola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ilkekas/bert-base-uncased-finetuned2-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned2_cola_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned2_cola_pipeline_en.md
new file mode 100644
index 00000000000000..df5f097b916f9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned2_cola_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned2_cola_pipeline pipeline BertForSequenceClassification from ilkekas
+author: John Snow Labs
+name: bert_base_uncased_finetuned2_cola_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned2_cola_pipeline` is a English model originally trained by ilkekas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned2_cola_pipeline_en_5.5.0_3.0_1727267786213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned2_cola_pipeline_en_5.5.0_3.0_1727267786213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned2_cola_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned2_cola_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned2_cola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ilkekas/bert-base-uncased-finetuned2-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_amazon_reviews_multi_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_amazon_reviews_multi_en.md
new file mode 100644
index 00000000000000..63430e8195d397
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_amazon_reviews_multi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_amazon_reviews_multi BertForSequenceClassification from JoelVIU
+author: John Snow Labs
+name: bert_base_uncased_finetuned_amazon_reviews_multi
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_amazon_reviews_multi` is a English model originally trained by JoelVIU.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_amazon_reviews_multi_en_5.5.0_3.0_1727286280588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_amazon_reviews_multi_en_5.5.0_3.0_1727286280588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cda_gender_neutral|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/zz990906/bert-base-uncased-finetuned-cda-gender-neutral
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_avb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_avb_pipeline_en.md
new file mode 100644
index 00000000000000..8a174907cdd17f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_avb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_avb_pipeline pipeline BertForSequenceClassification from avb
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_avb_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_avb_pipeline` is a English model originally trained by avb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_avb_pipeline_en_5.5.0_3.0_1727268577092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_avb_pipeline_en_5.5.0_3.0_1727268577092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_avb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_avb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_avb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/avb/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_kaanha_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_kaanha_en.md
new file mode 100644
index 00000000000000..17351122f7dcd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_kaanha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_kaanha BertForSequenceClassification from KaanHa
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_kaanha
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_kaanha` is a English model originally trained by KaanHa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kaanha_en_5.5.0_3.0_1727287133479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kaanha_en_5.5.0_3.0_1727287133479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_kaanha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/KaanHa/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_learning_rate_2e_05_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_learning_rate_2e_05_en.md
new file mode 100644
index 00000000000000..987031b7184264
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_learning_rate_2e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_learning_rate_2e_05 BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_learning_rate_2e_05
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_learning_rate_2e_05` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_2e_05_en_5.5.0_3.0_1727286389430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_2e_05_en_5.5.0_3.0_1727286389430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_learning_rate_2e_05|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cansurav/bert-base-uncased-finetuned-cola-learning_rate-2e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehrbakhshi_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehrbakhshi_en.md
new file mode 100644
index 00000000000000..8b02c39d0e8f81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehrbakhshi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_sepehrbakhshi BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_sepehrbakhshi
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_sepehrbakhshi` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehrbakhshi_en_5.5.0_3.0_1727288324819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehrbakhshi_en_5.5.0_3.0_1727288324819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_sepehrbakhshi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sepehrbakhshi/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_depression_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_depression_pipeline_en.md
new file mode 100644
index 00000000000000..da445793d0c331
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_depression_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_depression_pipeline pipeline BertForSequenceClassification from welsachy
+author: John Snow Labs
+name: bert_base_uncased_finetuned_depression_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_depression_pipeline` is a English model originally trained by welsachy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_depression_pipeline_en_5.5.0_3.0_1727276762936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_depression_pipeline_en_5.5.0_3.0_1727276762936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_depression_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_depression_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_depression_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/welsachy/bert-base-uncased-finetuned-depression
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_detests_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_detests_en.md
new file mode 100644
index 00000000000000..8941177e001a71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_detests_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_detests BertForSequenceClassification from Pablo94
+author: John Snow Labs
+name: bert_base_uncased_finetuned_detests
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_detests` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_detests_en_5.5.0_3.0_1727268304494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_detests_en_5.5.0_3.0_1727268304494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_detests|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Pablo94/bert-base-uncased-finetuned-detests
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_detests_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_detests_pipeline_en.md
new file mode 100644
index 00000000000000..ae52dad3402a76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_detests_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_detests_pipeline pipeline BertForSequenceClassification from Pablo94
+author: John Snow Labs
+name: bert_base_uncased_finetuned_detests_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_detests_pipeline` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_detests_pipeline_en_5.5.0_3.0_1727268327256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_detests_pipeline_en_5.5.0_3.0_1727268327256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_detests_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_detests_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_detests_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Pablo94/bert-base-uncased-finetuned-detests
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_imdb_rman_rahimi_29_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_imdb_rman_rahimi_29_en.md
new file mode 100644
index 00000000000000..5441edf05f0db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_imdb_rman_rahimi_29_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_imdb_rman_rahimi_29 BertEmbeddings from rman-rahimi-29
+author: John Snow Labs
+name: bert_base_uncased_finetuned_imdb_rman_rahimi_29
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_imdb_rman_rahimi_29` is a English model originally trained by rman-rahimi-29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_imdb_rman_rahimi_29_en_5.5.0_3.0_1727240722847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_imdb_rman_rahimi_29_en_5.5.0_3.0_1727240722847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_imdb_rman_rahimi_29|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/rman-rahimi-29/bert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline_en.md
new file mode 100644
index 00000000000000..06b02b517aa49c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline pipeline BertForSequenceClassification from yagmurery
+author: John Snow Labs
+name: bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline` is a English model originally trained by yagmurery.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline_en_5.5.0_3.0_1727273487652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline_en_5.5.0_3.0_1727273487652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_learningrate_2_cola_4e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yagmurery/bert-base-uncased-finetuned-learningRate-2-cola-4e-05
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_en.md
new file mode 100644
index 00000000000000..75cb040e6d3b95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_max_length_256_epoch_5 BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_max_length_256_epoch_5
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mnli_max_length_256_epoch_5` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_en_5.5.0_3.0_1727278395887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_en_5.5.0_3.0_1727278395887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_max_length_256_epoch_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-mnli-max-length-256-epoch-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline_en.md
new file mode 100644
index 00000000000000..260f5a0b35ddac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline pipeline BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline_en_5.5.0_3.0_1727278417026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline_en_5.5.0_3.0_1727278417026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_max_length_256_epoch_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-mnli-max-length-256-epoch-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_rte_wnli_3_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_rte_wnli_3_en.md
new file mode 100644
index 00000000000000..4991135ca6741a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_rte_wnli_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_rte_wnli_3 BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_rte_wnli_3
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mnli_rte_wnli_3` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_rte_wnli_3_en_5.5.0_3.0_1727273560436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_rte_wnli_3_en_5.5.0_3.0_1727273560436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_rte_wnli_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-mnli-rte-wnli-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_news_1929_1932_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_news_1929_1932_pipeline_en.md
new file mode 100644
index 00000000000000..bf76a41e02352d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_news_1929_1932_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_news_1929_1932_pipeline pipeline BertEmbeddings from sally9805
+author: John Snow Labs
+name: bert_base_uncased_finetuned_news_1929_1932_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_news_1929_1932_pipeline` is a English model originally trained by sally9805.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_1929_1932_pipeline_en_5.5.0_3.0_1727254945892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_1929_1932_pipeline_en_5.5.0_3.0_1727254945892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_news_1929_1932_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_news_1929_1932_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_news_1929_1932_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sally9805/bert-base-uncased-finetuned-news-1929-1932
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_poli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_poli_pipeline_en.md
new file mode 100644
index 00000000000000..7758e327705ddd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_poli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_poli_pipeline pipeline BertForSequenceClassification from lmajer
+author: John Snow Labs
+name: bert_base_uncased_finetuned_poli_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_poli_pipeline` is a English model originally trained by lmajer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_poli_pipeline_en_5.5.0_3.0_1727284948735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_poli_pipeline_en_5.5.0_3.0_1727284948735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_poli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_poli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_poli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/lmajer/bert-base-uncased-finetuned-POLI
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_10_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_10_en.md
new file mode 100644
index 00000000000000..5c4737ab074f66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rte_max_length_512_epoch_10 BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rte_max_length_512_epoch_10
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_rte_max_length_512_epoch_10` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_10_en_5.5.0_3.0_1727272894453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_10_en_5.5.0_3.0_1727272894453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rte_max_length_512_epoch_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-rte-max-length-512-epoch-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline_en.md
new file mode 100644
index 00000000000000..e2a116b1f50d8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline pipeline BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline_en_5.5.0_3.0_1727272916326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline_en_5.5.0_3.0_1727272916326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rte_max_length_512_epoch_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-rte-max-length-512-epoch-10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline_en.md
new file mode 100644
index 00000000000000..317acb9f7ea01d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline pipeline BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline_en_5.5.0_3.0_1727286811073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline_en_5.5.0_3.0_1727286811073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rte_max_length_512_epoch_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-rte-max-length-512-epoch-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_stationary_epoch_update_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_stationary_epoch_update_en.md
new file mode 100644
index 00000000000000..ff552f2769a0a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_stationary_epoch_update_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_stationary_epoch_update BertForSequenceClassification from MKS3099
+author: John Snow Labs
+name: bert_base_uncased_finetuned_stationary_epoch_update
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_stationary_epoch_update` is a English model originally trained by MKS3099.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_stationary_epoch_update_en_5.5.0_3.0_1727269239360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_stationary_epoch_update_en_5.5.0_3.0_1727269239360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_stationary_epoch_update|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MKS3099/bert-base-uncased-finetuned-stationary-epoch-update
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline_en.md
new file mode 100644
index 00000000000000..7890190b921ad4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline pipeline BertForSequenceClassification from tillschwoerer
+author: John Snow Labs
+name: bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline` is a English model originally trained by tillschwoerer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline_en_5.5.0_3.0_1727261098857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline_en_5.5.0_3.0_1727261098857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_toxic_comment_detection_ws23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/tillschwoerer/bert-base-uncased-finetuned-toxic-comment-detection-ws23
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_glue_cola_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_glue_cola_pipeline_en.md
new file mode 100644
index 00000000000000..ccde384f823bad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_glue_cola_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_glue_cola_pipeline pipeline BertForSequenceClassification from pmthangk09
+author: John Snow Labs
+name: bert_base_uncased_glue_cola_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_glue_cola_pipeline` is a English model originally trained by pmthangk09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_cola_pipeline_en_5.5.0_3.0_1727266397271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_cola_pipeline_en_5.5.0_3.0_1727266397271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_glue_cola_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_glue_cola_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_glue_cola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pmthangk09/bert-base-uncased-glue-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_goemotions_original_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_goemotions_original_finetuned_en.md
new file mode 100644
index 00000000000000..49507c9e1f085e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_goemotions_original_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_goemotions_original_finetuned BertForSequenceClassification from justin871030
+author: John Snow Labs
+name: bert_base_uncased_goemotions_original_finetuned
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_goemotions_original_finetuned` is a English model originally trained by justin871030.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_goemotions_original_finetuned_en_5.5.0_3.0_1727256792152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_goemotions_original_finetuned_en_5.5.0_3.0_1727256792152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_goemotions_original_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/justin871030/bert-base-uncased-goemotions-original-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_imdb_yujiepan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_imdb_yujiepan_pipeline_en.md
new file mode 100644
index 00000000000000..ea96d06150fbb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_imdb_yujiepan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_imdb_yujiepan_pipeline pipeline BertForSequenceClassification from yujiepan
+author: John Snow Labs
+name: bert_base_uncased_imdb_yujiepan_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_imdb_yujiepan_pipeline` is a English model originally trained by yujiepan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_yujiepan_pipeline_en_5.5.0_3.0_1727273456187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_yujiepan_pipeline_en_5.5.0_3.0_1727273456187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_imdb_yujiepan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_imdb_yujiepan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_imdb_yujiepan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yujiepan/bert-base-uncased-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_hndc_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_hndc_en.md
new file mode 100644
index 00000000000000..720a5ab9417a8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_hndc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_hndc BertEmbeddings from hndc
+author: John Snow Labs
+name: bert_base_uncased_issues_128_hndc
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_hndc` is a English model originally trained by hndc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_hndc_en_5.5.0_3.0_1727241058797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_hndc_en_5.5.0_3.0_1727241058797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_hndc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/hndc/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_hndc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_hndc_pipeline_en.md
new file mode 100644
index 00000000000000..d2604dbeda17ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_hndc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_hndc_pipeline pipeline BertEmbeddings from hndc
+author: John Snow Labs
+name: bert_base_uncased_issues_128_hndc_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_hndc_pipeline` is a English model originally trained by hndc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_hndc_pipeline_en_5.5.0_3.0_1727241079853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_hndc_pipeline_en_5.5.0_3.0_1727241079853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_issues_128_hndc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_issues_128_hndc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_hndc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hndc/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_makaniski_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_makaniski_en.md
new file mode 100644
index 00000000000000..bde06600b17617
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_makaniski_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_makaniski BertEmbeddings from makaniski
+author: John Snow Labs
+name: bert_base_uncased_issues_128_makaniski
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_makaniski` is a English model originally trained by makaniski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_makaniski_en_5.5.0_3.0_1727256250380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_makaniski_en_5.5.0_3.0_1727256250380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_robinsh2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Robinsh2023/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_robinsh2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_robinsh2023_pipeline_en.md
new file mode 100644
index 00000000000000..bed36dc5a81c19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_robinsh2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_robinsh2023_pipeline pipeline BertEmbeddings from Robinsh2023
+author: John Snow Labs
+name: bert_base_uncased_issues_128_robinsh2023_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_robinsh2023_pipeline` is a English model originally trained by Robinsh2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_robinsh2023_pipeline_en_5.5.0_3.0_1727237000542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_robinsh2023_pipeline_en_5.5.0_3.0_1727237000542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_issues_128_robinsh2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_issues_128_robinsh2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_robinsh2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Robinsh2023/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_seddiktrk_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_seddiktrk_en.md
new file mode 100644
index 00000000000000..b92dd63079e977
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_seddiktrk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_seddiktrk BertEmbeddings from seddiktrk
+author: John Snow Labs
+name: bert_base_uncased_issues_128_seddiktrk
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_seddiktrk` is a English model originally trained by seddiktrk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_seddiktrk_en_5.5.0_3.0_1727231353065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_seddiktrk_en_5.5.0_3.0_1727231353065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_seddiktrk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/seddiktrk/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_seddiktrk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_seddiktrk_pipeline_en.md
new file mode 100644
index 00000000000000..e58b1d21370cd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_seddiktrk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_seddiktrk_pipeline pipeline BertEmbeddings from seddiktrk
+author: John Snow Labs
+name: bert_base_uncased_issues_128_seddiktrk_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_seddiktrk_pipeline` is a English model originally trained by seddiktrk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_seddiktrk_pipeline_en_5.5.0_3.0_1727231374198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_seddiktrk_pipeline_en_5.5.0_3.0_1727231374198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_issues_128_seddiktrk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_issues_128_seddiktrk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_seddiktrk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/seddiktrk/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_job_bias_seq_cls_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_job_bias_seq_cls_en.md
new file mode 100644
index 00000000000000..3ccf905358ccaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_job_bias_seq_cls_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_job_bias_seq_cls BertForSequenceClassification from 2024-mcm-everitt-ryan
+author: John Snow Labs
+name: bert_base_uncased_job_bias_seq_cls
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_job_bias_seq_cls` is a English model originally trained by 2024-mcm-everitt-ryan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_job_bias_seq_cls_en_5.5.0_3.0_1727269409641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_job_bias_seq_cls_en_5.5.0_3.0_1727269409641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_job_bias_seq_cls|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/2024-mcm-everitt-ryan/bert-base-uncased-job-bias-seq-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kaggle_twitter_small_finetuned_clf_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kaggle_twitter_small_finetuned_clf_en.md
new file mode 100644
index 00000000000000..5f0a827e4ff165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kaggle_twitter_small_finetuned_clf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_kaggle_twitter_small_finetuned_clf BertForSequenceClassification from zloelias
+author: John Snow Labs
+name: bert_base_uncased_kaggle_twitter_small_finetuned_clf
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_kaggle_twitter_small_finetuned_clf` is a English model originally trained by zloelias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kaggle_twitter_small_finetuned_clf_en_5.5.0_3.0_1727272761007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kaggle_twitter_small_finetuned_clf_en_5.5.0_3.0_1727272761007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_kaggle_twitter_small_finetuned_clf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zloelias/bert-base-uncased-kaggle_twitter_small-finetuned-clf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline_en.md
new file mode 100644
index 00000000000000..3d95797c3b0442
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline pipeline BertForSequenceClassification from zloelias
+author: John Snow Labs
+name: bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline` is a English model originally trained by zloelias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline_en_5.5.0_3.0_1727272783099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline_en_5.5.0_3.0_1727272783099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_kaggle_twitter_small_finetuned_clf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zloelias/bert-base-uncased-kaggle_twitter_small-finetuned-clf
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kinyarwanda_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kinyarwanda_finetuned_en.md
new file mode 100644
index 00000000000000..b723f286d24036
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kinyarwanda_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_kinyarwanda_finetuned BertEmbeddings from RogerB
+author: John Snow Labs
+name: bert_base_uncased_kinyarwanda_finetuned
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_kinyarwanda_finetuned` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kinyarwanda_finetuned_en_5.5.0_3.0_1727242863679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kinyarwanda_finetuned_en_5.5.0_3.0_1727242863679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_kinyarwanda_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/RogerB/bert-base-uncased-kinyarwanda-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kinyarwanda_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kinyarwanda_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..848d790829ea6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_kinyarwanda_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_kinyarwanda_finetuned_pipeline pipeline BertEmbeddings from RogerB
+author: John Snow Labs
+name: bert_base_uncased_kinyarwanda_finetuned_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_kinyarwanda_finetuned_pipeline` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kinyarwanda_finetuned_pipeline_en_5.5.0_3.0_1727242885172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kinyarwanda_finetuned_pipeline_en_5.5.0_3.0_1727242885172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_kinyarwanda_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_kinyarwanda_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_kinyarwanda_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/RogerB/bert-base-uncased-kinyarwanda-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_malayalam_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_malayalam_pipeline_en.md
new file mode 100644
index 00000000000000..f20b43bd5a6b19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_malayalam_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_malayalam_pipeline pipeline BertEmbeddings from Tural
+author: John Snow Labs
+name: bert_base_uncased_malayalam_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_malayalam_pipeline` is a English model originally trained by Tural.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_malayalam_pipeline_en_5.5.0_3.0_1727232998365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_malayalam_pipeline_en_5.5.0_3.0_1727232998365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_malayalam_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_malayalam_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_malayalam_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Tural/bert-base-uncased-ml
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3_en.md
new file mode 100644
index 00000000000000..e0126974b98a37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3 BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3_en_5.5.0_3.0_1727263801059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3_en_5.5.0_3.0_1727263801059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_20230913_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE-textCLS-RHEOLOGY-20230913-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qa_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qa_classification_pipeline_en.md
new file mode 100644
index 00000000000000..fcf0d049084348
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qa_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_qa_classification_pipeline pipeline BertForSequenceClassification from kgourgou
+author: John Snow Labs
+name: bert_base_uncased_qa_classification_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_qa_classification_pipeline` is a English model originally trained by kgourgou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qa_classification_pipeline_en_5.5.0_3.0_1727285908570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qa_classification_pipeline_en_5.5.0_3.0_1727285908570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_qa_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_qa_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_qa_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kgourgou/bert-base-uncased-QA-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qnli_howey_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qnli_howey_pipeline_en.md
new file mode 100644
index 00000000000000..d7f225a1bb3758
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qnli_howey_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_qnli_howey_pipeline pipeline BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_qnli_howey_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_qnli_howey_pipeline` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_howey_pipeline_en_5.5.0_3.0_1727269957256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_howey_pipeline_en_5.5.0_3.0_1727269957256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_qnli_howey_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_qnli_howey_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_qnli_howey_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-qnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_review1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_review1_pipeline_en.md
new file mode 100644
index 00000000000000..2f74c9fbb8a8c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_review1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_review1_pipeline pipeline BertForSequenceClassification from Iresh88
+author: John Snow Labs
+name: bert_base_uncased_review1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_review1_pipeline` is a English model originally trained by Iresh88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_review1_pipeline_en_5.5.0_3.0_1727267682494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_review1_pipeline_en_5.5.0_3.0_1727267682494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_review1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_review1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_review1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Iresh88/bert-base-uncased-review1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_rte_from_bert_large_uncased_rte_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_rte_from_bert_large_uncased_rte_en.md
new file mode 100644
index 00000000000000..19a245f1687c28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_rte_from_bert_large_uncased_rte_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_rte_from_bert_large_uncased_rte BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_rte_from_bert_large_uncased_rte
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_rte_from_bert_large_uncased_rte` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_from_bert_large_uncased_rte_en_5.5.0_3.0_1727269973506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_from_bert_large_uncased_rte_en_5.5.0_3.0_1727269973506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rte_from_bert_large_uncased_rte|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-rte_from_bert-large-uncased-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline_en.md
new file mode 100644
index 00000000000000..5eb55ca6b48ddf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline pipeline BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline_en_5.5.0_3.0_1727269994734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline_en_5.5.0_3.0_1727269994734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rte_from_bert_large_uncased_rte_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-rte_from_bert-large-uncased-rte
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst_en.md
new file mode 100644
index 00000000000000..0fd14d26195a79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_sst BertForSequenceClassification from pmthangk09
+author: John Snow Labs
+name: bert_base_uncased_sst
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst` is a English model originally trained by pmthangk09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_en_5.5.0_3.0_1727278143092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_en_5.5.0_3.0_1727278143092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pmthangk09/bert-base-uncased-sst
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_tajik_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_tajik_ner_en.md
new file mode 100644
index 00000000000000..baf373d81dffbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_tajik_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_tajik_ner BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_base_uncased_tajik_ner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_tajik_ner` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tajik_ner_en_5.5.0_3.0_1727260762157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tajik_ner_en_5.5.0_3.0_1727260762157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_tajik_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-base-uncased-tajik-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_tajik_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_tajik_ner_pipeline_en.md
new file mode 100644
index 00000000000000..aadd53fcdc5617
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_tajik_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_tajik_ner_pipeline pipeline BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_base_uncased_tajik_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_tajik_ner_pipeline` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tajik_ner_pipeline_en_5.5.0_3.0_1727260783318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tajik_ner_pipeline_en_5.5.0_3.0_1727260783318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_tajik_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_tajik_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_tajik_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-base-uncased-tajik-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_en.md
new file mode 100644
index 00000000000000..7d08dd032c4e75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false BertForTokenClassification from ali2066
+author: John Snow Labs
+name: bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_en_5.5.0_3.0_1727260588150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_en_5.5.0_3.0_1727260588150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_all_TEST_null__second_train_set_NULL_False
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_toxicity_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_toxicity_en.md
new file mode 100644
index 00000000000000..7376f426de5fa3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_toxicity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_toxicity BertForSequenceClassification from mohsenfayyaz
+author: John Snow Labs
+name: bert_base_uncased_toxicity
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_toxicity` is a English model originally trained by mohsenfayyaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_toxicity_en_5.5.0_3.0_1727269890788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_toxicity_en_5.5.0_3.0_1727269890788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_vk_posts|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/serggor/bert-base-vk-posts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_vk_posts_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_vk_posts_pipeline_en.md
new file mode 100644
index 00000000000000..ad3029946052f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_vk_posts_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_vk_posts_pipeline pipeline BertEmbeddings from serggor
+author: John Snow Labs
+name: bert_base_vk_posts_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_vk_posts_pipeline` is a English model originally trained by serggor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_vk_posts_pipeline_en_5.5.0_3.0_1727256519859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_vk_posts_pipeline_en_5.5.0_3.0_1727256519859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_vk_posts_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_vk_posts_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_vk_posts_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/serggor/bert-base-vk-posts
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_baseline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_baseline_en.md
new file mode 100644
index 00000000000000..b91db117ec9834
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_baseline_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_baseline BertForSequenceClassification from florentgbelidji
+author: John Snow Labs
+name: bert_baseline
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_baseline` is a English model originally trained by florentgbelidji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_baseline_en_5.5.0_3.0_1727278504573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_baseline_en_5.5.0_3.0_1727278504573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_baseline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/florentgbelidji/BERT_baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_tuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_tuned_en.md
new file mode 100644
index 00000000000000..8d053083ee44ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_tuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_classifier_tuned BertForSequenceClassification from omgavy
+author: John Snow Labs
+name: bert_classifier_tuned
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_tuned` is a English model originally trained by omgavy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_tuned_en_5.5.0_3.0_1727267541449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_tuned_en_5.5.0_3.0_1727267541449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/omgavy/bert-classifier-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_turkish_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_turkish_sentiment_en.md
new file mode 100644
index 00000000000000..906731dfb03d32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_turkish_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_classifier_turkish_sentiment BertForSequenceClassification from sunor
+author: John Snow Labs
+name: bert_classifier_turkish_sentiment
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_turkish_sentiment` is a English model originally trained by sunor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_turkish_sentiment_en_5.5.0_3.0_1727263454242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_turkish_sentiment_en_5.5.0_3.0_1727263454242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_turkish_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/sunor/bert-classifier-turkish-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_turkish_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_turkish_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..0cc764fc570a07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_classifier_turkish_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_classifier_turkish_sentiment_pipeline pipeline BertForSequenceClassification from sunor
+author: John Snow Labs
+name: bert_classifier_turkish_sentiment_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_turkish_sentiment_pipeline` is a English model originally trained by sunor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_turkish_sentiment_pipeline_en_5.5.0_3.0_1727263478776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_turkish_sentiment_pipeline_en_5.5.0_3.0_1727263478776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_classifier_turkish_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_classifier_turkish_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_turkish_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/sunor/bert-classifier-turkish-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_cn_finetuning_wangyuwei_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_cn_finetuning_wangyuwei_pipeline_en.md
new file mode 100644
index 00000000000000..b726b838b12ec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_cn_finetuning_wangyuwei_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_cn_finetuning_wangyuwei_pipeline pipeline BertForSequenceClassification from wangyuwei
+author: John Snow Labs
+name: bert_cn_finetuning_wangyuwei_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cn_finetuning_wangyuwei_pipeline` is a English model originally trained by wangyuwei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cn_finetuning_wangyuwei_pipeline_en_5.5.0_3.0_1727288868856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cn_finetuning_wangyuwei_pipeline_en_5.5.0_3.0_1727288868856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_cn_finetuning_wangyuwei_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_cn_finetuning_wangyuwei_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cn_finetuning_wangyuwei_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/wangyuwei/bert_cn_finetuning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_election2020_twitter_stance_biden_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_election2020_twitter_stance_biden_en.md
new file mode 100644
index 00000000000000..786113fa5ac6c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_election2020_twitter_stance_biden_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_election2020_twitter_stance_biden BertForSequenceClassification from kornosk
+author: John Snow Labs
+name: bert_election2020_twitter_stance_biden
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_election2020_twitter_stance_biden` is a English model originally trained by kornosk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_biden_en_5.5.0_3.0_1727239460016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_biden_en_5.5.0_3.0_1727239460016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_election2020_twitter_stance_biden|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/kornosk/bert-election2020-twitter-stance-biden
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_emotions_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_emotions_en.md
new file mode 100644
index 00000000000000..6eed5305f48186
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_emotions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_emotions BertForSequenceClassification from Yanni8
+author: John Snow Labs
+name: bert_emotions
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotions` is a English model originally trained by Yanni8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotions_en_5.5.0_3.0_1727261714721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotions_en_5.5.0_3.0_1727261714721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotions|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Yanni8/bert-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_emotions_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_emotions_pipeline_en.md
new file mode 100644
index 00000000000000..7bc0b843148c5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_emotions_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_emotions_pipeline pipeline BertForSequenceClassification from Yanni8
+author: John Snow Labs
+name: bert_emotions_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotions_pipeline` is a English model originally trained by Yanni8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotions_pipeline_en_5.5.0_3.0_1727261736321.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotions_pipeline_en_5.5.0_3.0_1727261736321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_emotions_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_emotions_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotions_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Yanni8/bert-emotions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_fined_tuned_cola_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_fined_tuned_cola_en.md
new file mode 100644
index 00000000000000..b7e19684f4a695
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_fined_tuned_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_fined_tuned_cola BertForSequenceClassification from Utshav
+author: John Snow Labs
+name: bert_fined_tuned_cola
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fined_tuned_cola` is a English model originally trained by Utshav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fined_tuned_cola_en_5.5.0_3.0_1727288341793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fined_tuned_cola_en_5.5.0_3.0_1727288341793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fined_tuned_cola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Utshav/bert-fined-tuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_abbreviation_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_abbreviation_en.md
new file mode 100644
index 00000000000000..bb85271802db91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_abbreviation_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_abbreviation BertForTokenClassification from dammy
+author: John Snow Labs
+name: bert_finetuned_abbreviation
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_abbreviation` is a English model originally trained by dammy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_abbreviation_en_5.5.0_3.0_1727260244412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_abbreviation_en_5.5.0_3.0_1727260244412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_abbreviation|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/dammy/bert-finetuned-abbreviation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_abbreviation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_abbreviation_pipeline_en.md
new file mode 100644
index 00000000000000..61b00a4a07bb43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_abbreviation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_abbreviation_pipeline pipeline BertForTokenClassification from dammy
+author: John Snow Labs
+name: bert_finetuned_abbreviation_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_abbreviation_pipeline` is a English model originally trained by dammy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_abbreviation_pipeline_en_5.5.0_3.0_1727260265611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_abbreviation_pipeline_en_5.5.0_3.0_1727260265611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_abbreviation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_abbreviation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_abbreviation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/dammy/bert-finetuned-abbreviation
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_age_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_age_pipeline_en.md
new file mode 100644
index 00000000000000..801f828ff5e566
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_age_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_age_pipeline pipeline BertForSequenceClassification from Abderrahim2
+author: John Snow Labs
+name: bert_finetuned_age_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_age_pipeline` is a English model originally trained by Abderrahim2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_age_pipeline_en_5.5.0_3.0_1727276390139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_age_pipeline_en_5.5.0_3.0_1727276390139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_age_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_age_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_age_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/Abderrahim2/bert-finetuned-Age
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_hausa_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_hausa_ner_pipeline_en.md
new file mode 100644
index 00000000000000..65c522ef37d80b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_hausa_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_hausa_ner_pipeline pipeline BertForTokenClassification from peteryushunli
+author: John Snow Labs
+name: bert_finetuned_hausa_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_hausa_ner_pipeline` is a English model originally trained by peteryushunli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_hausa_ner_pipeline_en_5.5.0_3.0_1727260026645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_hausa_ner_pipeline_en_5.5.0_3.0_1727260026645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_hausa_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_hausa_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_hausa_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/peteryushunli/bert-finetuned-hausa_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_cti_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_cti_en.md
new file mode 100644
index 00000000000000..a9a43e3b081c7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_cti_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_cti BertForTokenClassification from thongnef
+author: John Snow Labs
+name: bert_finetuned_ner_cti
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_cti` is a English model originally trained by thongnef.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cti_en_5.5.0_3.0_1727250597375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cti_en_5.5.0_3.0_1727250597375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_cti|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/thongnef/bert-finetuned-ner-cti
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_cti_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_cti_pipeline_en.md
new file mode 100644
index 00000000000000..4c21064956ec19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_cti_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_cti_pipeline pipeline BertForTokenClassification from thongnef
+author: John Snow Labs
+name: bert_finetuned_ner_cti_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_cti_pipeline` is a English model originally trained by thongnef.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cti_pipeline_en_5.5.0_3.0_1727250618087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cti_pipeline_en_5.5.0_3.0_1727250618087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_cti_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_cti_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_cti_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/thongnef/bert-finetuned-ner-cti
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_hydrochii_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_hydrochii_en.md
new file mode 100644
index 00000000000000..76582a2ba76dc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_hydrochii_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_hydrochii BertForTokenClassification from hydrochii
+author: John Snow Labs
+name: bert_finetuned_ner_hydrochii
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_hydrochii` is a English model originally trained by hydrochii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_hydrochii_en_5.5.0_3.0_1727270734813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_hydrochii_en_5.5.0_3.0_1727270734813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_hydrochii|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hydrochii/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_mjwlyy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_mjwlyy_pipeline_en.md
new file mode 100644
index 00000000000000..dc4bf9a11a4931
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_mjwlyy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_mjwlyy_pipeline pipeline BertForTokenClassification from MJWLYY
+author: John Snow Labs
+name: bert_finetuned_ner_mjwlyy_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_mjwlyy_pipeline` is a English model originally trained by MJWLYY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mjwlyy_pipeline_en_5.5.0_3.0_1727249785506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mjwlyy_pipeline_en_5.5.0_3.0_1727249785506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_mjwlyy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_mjwlyy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_mjwlyy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/MJWLYY/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_proccyon_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_proccyon_en.md
new file mode 100644
index 00000000000000..1b871c653e068a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_proccyon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_proccyon BertForTokenClassification from Proccyon
+author: John Snow Labs
+name: bert_finetuned_ner_proccyon
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_proccyon` is a English model originally trained by Proccyon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_proccyon_en_5.5.0_3.0_1727262284868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_proccyon_en_5.5.0_3.0_1727262284868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_proccyon|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Proccyon/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_proccyon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_proccyon_pipeline_en.md
new file mode 100644
index 00000000000000..1c1cea251231cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_proccyon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_proccyon_pipeline pipeline BertForTokenClassification from Proccyon
+author: John Snow Labs
+name: bert_finetuned_ner_proccyon_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_proccyon_pipeline` is a English model originally trained by Proccyon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_proccyon_pipeline_en_5.5.0_3.0_1727262306020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_proccyon_pipeline_en_5.5.0_3.0_1727262306020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_proccyon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_proccyon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_proccyon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Proccyon/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_word_embedding_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_word_embedding_en.md
new file mode 100644
index 00000000000000..41d2f9ee78a26f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_word_embedding_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_word_embedding BertForTokenClassification from lsoni
+author: John Snow Labs
+name: bert_finetuned_ner_word_embedding
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_word_embedding` is a English model originally trained by lsoni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_word_embedding_en_5.5.0_3.0_1727283090886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_word_embedding_en_5.5.0_3.0_1727283090886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_word_embedding|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/lsoni/bert-finetuned-ner-word-embedding
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_word_embedding_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_word_embedding_pipeline_en.md
new file mode 100644
index 00000000000000..340e4830116fe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_ner_word_embedding_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_word_embedding_pipeline pipeline BertForTokenClassification from lsoni
+author: John Snow Labs
+name: bert_finetuned_ner_word_embedding_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_word_embedding_pipeline` is a English model originally trained by lsoni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_word_embedding_pipeline_en_5.5.0_3.0_1727283112582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_word_embedding_pipeline_en_5.5.0_3.0_1727283112582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_word_embedding_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_word_embedding_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_word_embedding_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/lsoni/bert-finetuned-ner-word-embedding
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_lachin_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_lachin_en.md
new file mode 100644
index 00000000000000..49c4a36d1b090d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_lachin_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_lachin BertForSequenceClassification from Lachin
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_lachin
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_semitic_languages_eval_english_lachin` is a English model originally trained by Lachin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_lachin_en_5.5.0_3.0_1727287151317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_lachin_en_5.5.0_3.0_1727287151317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_lachin|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Lachin/bert-finetuned-sem_eval-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_lachin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_lachin_pipeline_en.md
new file mode 100644
index 00000000000000..b169efa574e4f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_lachin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_lachin_pipeline pipeline BertForSequenceClassification from Lachin
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_lachin_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_semitic_languages_eval_english_lachin_pipeline` is a English model originally trained by Lachin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_lachin_pipeline_en_5.5.0_3.0_1727287172332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_lachin_pipeline_en_5.5.0_3.0_1727287172332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_semitic_languages_eval_english_lachin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_semitic_languages_eval_english_lachin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_lachin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Lachin/bert-finetuned-sem_eval-english
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_ambiguidade_sintatica_v1_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_ambiguidade_sintatica_v1_en.md
new file mode 100644
index 00000000000000..5944cfc31f1935
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_ambiguidade_sintatica_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_ambiguidade_sintatica_v1 BertForSequenceClassification from osouza
+author: John Snow Labs
+name: bert_large_ambiguidade_sintatica_v1
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_ambiguidade_sintatica_v1` is a English model originally trained by osouza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_ambiguidade_sintatica_v1_en_5.5.0_3.0_1727265779382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_ambiguidade_sintatica_v1_en_5.5.0_3.0_1727265779382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_ambiguidade_sintatica_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/osouza/bert-large-ambiguidade-sintatica-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_ambiguidade_sintatica_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_ambiguidade_sintatica_v1_pipeline_en.md
new file mode 100644
index 00000000000000..293c6c03a9c1b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_ambiguidade_sintatica_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_ambiguidade_sintatica_v1_pipeline pipeline BertForSequenceClassification from osouza
+author: John Snow Labs
+name: bert_large_ambiguidade_sintatica_v1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_ambiguidade_sintatica_v1_pipeline` is a English model originally trained by osouza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_ambiguidade_sintatica_v1_pipeline_en_5.5.0_3.0_1727265802099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_ambiguidade_sintatica_v1_pipeline_en_5.5.0_3.0_1727265802099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_ambiguidade_sintatica_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_ambiguidade_sintatica_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_ambiguidade_sintatica_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/osouza/bert-large-ambiguidade-sintatica-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_finetuned_ner_augment_01_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_finetuned_ner_augment_01_en.md
new file mode 100644
index 00000000000000..30e00733a666a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_finetuned_ner_augment_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_ner_augment_01 BertForTokenClassification from lamthanhtin2811
+author: John Snow Labs
+name: bert_large_cased_finetuned_ner_augment_01
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_cased_finetuned_ner_augment_01` is a English model originally trained by lamthanhtin2811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_ner_augment_01_en_5.5.0_3.0_1727282321654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_ner_augment_01_en_5.5.0_3.0_1727282321654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_ner_augment_01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/lamthanhtin2811/bert-large-cased-finetuned-ner-augment-01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_finetuned_ner_augment_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_finetuned_ner_augment_01_pipeline_en.md
new file mode 100644
index 00000000000000..d600041f859f74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_finetuned_ner_augment_01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_ner_augment_01_pipeline pipeline BertForTokenClassification from lamthanhtin2811
+author: John Snow Labs
+name: bert_large_cased_finetuned_ner_augment_01_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_cased_finetuned_ner_augment_01_pipeline` is a English model originally trained by lamthanhtin2811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_ner_augment_01_pipeline_en_5.5.0_3.0_1727282385046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_ner_augment_01_pipeline_en_5.5.0_3.0_1727282385046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_cased_finetuned_ner_augment_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_cased_finetuned_ner_augment_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_ner_augment_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/lamthanhtin2811/bert-large-cased-finetuned-ner-augment-01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_ner_pii_062024_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_ner_pii_062024_en.md
new file mode 100644
index 00000000000000..65e343651905e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_ner_pii_062024_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_ner_pii_062024 BertForTokenClassification from vuminhtue
+author: John Snow Labs
+name: bert_large_ner_pii_062024
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_ner_pii_062024` is a English model originally trained by vuminhtue.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_ner_pii_062024_en_5.5.0_3.0_1727275036455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_ner_pii_062024_en_5.5.0_3.0_1727275036455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_ner_pii_062024|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/vuminhtue/Bert_large_NER_PII_062024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_portuguese_archive_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_portuguese_archive_pipeline_en.md
new file mode 100644
index 00000000000000..61c01491d65fda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_portuguese_archive_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_portuguese_archive_pipeline pipeline BertForTokenClassification from lfcc
+author: John Snow Labs
+name: bert_large_portuguese_archive_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_portuguese_archive_pipeline` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_archive_pipeline_en_5.5.0_3.0_1727270979698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_archive_pipeline_en_5.5.0_3.0_1727270979698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_portuguese_archive_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_portuguese_archive_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_portuguese_archive_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/lfcc/bert-large-pt-archive
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_en.md
new file mode 100644
index 00000000000000..da71f4e73bf065
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: BERT Embeddings (Large Uncased)
+author: John Snow Labs
+name: bert_large_uncased
+date: 2024-09-25
+tags: [open_source, embeddings, en, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This model contains a deep bidirectional transformer trained on Wikipedia and the BookCorpus. The details are described in the paper "[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805)".
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_en_5.5.0_3.0_1727242974255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_en_5.5.0_3.0_1727242974255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+## Results
+
+```bash
+
+ en_embed_bert_large_uncased_embeddings token
+
+ [-0.07447264343500137, -0.337308406829834, -0.... I
+ [-0.5735481977462769, -0.3580206632614136, -0.... love
+ [-0.3929762840270996, -0.4147087037563324, 0.2... NLP
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|1.3 GB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_english_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_english_ner_pipeline_en.md
new file mode 100644
index 00000000000000..036d0a62f168f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_english_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_english_ner_pipeline pipeline BertForTokenClassification from n6ai
+author: John Snow Labs
+name: bert_large_uncased_english_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_english_ner_pipeline` is a English model originally trained by n6ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_english_ner_pipeline_en_5.5.0_3.0_1727281779260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_english_ner_pipeline_en_5.5.0_3.0_1727281779260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_english_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_english_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_english_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/n6ai/bert-large-uncased-en-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_finetuned_edos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_finetuned_edos_pipeline_en.md
new file mode 100644
index 00000000000000..8229d6e80fee0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_finetuned_edos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_edos_pipeline pipeline BertForSequenceClassification from reinforz
+author: John Snow Labs
+name: bert_large_uncased_finetuned_edos_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_finetuned_edos_pipeline` is a English model originally trained by reinforz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_edos_pipeline_en_5.5.0_3.0_1727269394576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_edos_pipeline_en_5.5.0_3.0_1727269394576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_finetuned_edos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_finetuned_edos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_edos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/reinforz/bert-large-uncased-finetuned-edos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..2f83dab680ec15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_pipeline pipeline BertEmbeddings from google-bert
+author: John Snow Labs
+name: bert_large_uncased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_pipeline` is a English model originally trained by google-bert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_pipeline_en_5.5.0_3.0_1727243037738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_pipeline_en_5.5.0_3.0_1727243037738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/google-bert/bert-large-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_wnli_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_wnli_en.md
new file mode 100644
index 00000000000000..e05894ebd106d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_wnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_wnli BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_wnli
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_wnli` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wnli_en_5.5.0_3.0_1727285124102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wnli_en_5.5.0_3.0_1727285124102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_domain_adapted_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/rasyosef/bert-mini-domain-adapted-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_mini_domain_adapted_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_mini_domain_adapted_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..7df871cf6cfc8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_mini_domain_adapted_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mini_domain_adapted_imdb_pipeline pipeline BertEmbeddings from rasyosef
+author: John Snow Labs
+name: bert_mini_domain_adapted_imdb_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_domain_adapted_imdb_pipeline` is a English model originally trained by rasyosef.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_domain_adapted_imdb_pipeline_en_5.5.0_3.0_1727240875150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_domain_adapted_imdb_pipeline_en_5.5.0_3.0_1727240875150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mini_domain_adapted_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mini_domain_adapted_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_domain_adapted_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/rasyosef/bert-mini-domain-adapted-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_mini_sst2_distilled_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_mini_sst2_distilled_en.md
new file mode 100644
index 00000000000000..1ba10dfd9a782c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_mini_sst2_distilled_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_mini_sst2_distilled BertForSequenceClassification from philschmid
+author: John Snow Labs
+name: bert_mini_sst2_distilled
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_sst2_distilled` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_sst2_distilled_en_5.5.0_3.0_1727269691593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_sst2_distilled_en_5.5.0_3.0_1727269691593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_sst2_distilled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-mini-sst2-distilled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_mini_sst2_distilled_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_mini_sst2_distilled_pipeline_en.md
new file mode 100644
index 00000000000000..e050214574312e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_mini_sst2_distilled_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mini_sst2_distilled_pipeline pipeline BertForSequenceClassification from philschmid
+author: John Snow Labs
+name: bert_mini_sst2_distilled_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_sst2_distilled_pipeline` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_sst2_distilled_pipeline_en_5.5.0_3.0_1727269694087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_sst2_distilled_pipeline_en_5.5.0_3.0_1727269694087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mini_sst2_distilled_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mini_sst2_distilled_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_sst2_distilled_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-mini-sst2-distilled
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_mrpc_distilled_cka_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_mrpc_distilled_cka_en.md
new file mode 100644
index 00000000000000..afa330d4837a32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_mrpc_distilled_cka_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_mrpc_distilled_cka BertForSequenceClassification from Sayan01
+author: John Snow Labs
+name: bert_mrpc_distilled_cka
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mrpc_distilled_cka` is a English model originally trained by Sayan01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mrpc_distilled_cka_en_5.5.0_3.0_1727268774840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mrpc_distilled_cka_en_5.5.0_3.0_1727268774840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mrpc_distilled_cka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|154.8 MB|
+
+## References
+
+https://huggingface.co/Sayan01/bert-mrpc-distilled-cka
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_multi_pad_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_multi_pad_ner_en.md
new file mode 100644
index 00000000000000..102e031a8dbde1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_multi_pad_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_multi_pad_ner BertForTokenClassification from ArseniyBolotin
+author: John Snow Labs
+name: bert_multi_pad_ner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_multi_pad_ner` is a English model originally trained by ArseniyBolotin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multi_pad_ner_en_5.5.0_3.0_1727263187379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multi_pad_ner_en_5.5.0_3.0_1727263187379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multi_pad_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/ArseniyBolotin/bert-multi-PAD-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_multi_pad_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_multi_pad_ner_pipeline_en.md
new file mode 100644
index 00000000000000..15e7ba3dbe984a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_multi_pad_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_multi_pad_ner_pipeline pipeline BertForTokenClassification from ArseniyBolotin
+author: John Snow Labs
+name: bert_multi_pad_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_multi_pad_ner_pipeline` is a English model originally trained by ArseniyBolotin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multi_pad_ner_pipeline_en_5.5.0_3.0_1727263220672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multi_pad_ner_pipeline_en_5.5.0_3.0_1727263220672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_multi_pad_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_multi_pad_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multi_pad_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/ArseniyBolotin/bert-multi-PAD-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_nlp_project_ft_imdb_ds_news_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_nlp_project_ft_imdb_ds_news_en.md
new file mode 100644
index 00000000000000..6f03583c58363e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_nlp_project_ft_imdb_ds_news_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_nlp_project_ft_imdb_ds_news BertForSequenceClassification from MatFil99
+author: John Snow Labs
+name: bert_nlp_project_ft_imdb_ds_news
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_nlp_project_ft_imdb_ds_news` is a English model originally trained by MatFil99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_nlp_project_ft_imdb_ds_news_en_5.5.0_3.0_1727278738362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_nlp_project_ft_imdb_ds_news_en_5.5.0_3.0_1727278738362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_nlp_project_ft_imdb_ds_news|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MatFil99/bert-nlp-project-ft-imdb-ds-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_nlp_project_ft_imdb_ds_news_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_nlp_project_ft_imdb_ds_news_pipeline_en.md
new file mode 100644
index 00000000000000..3edd4a3b0b5f24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_nlp_project_ft_imdb_ds_news_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_nlp_project_ft_imdb_ds_news_pipeline pipeline BertForSequenceClassification from MatFil99
+author: John Snow Labs
+name: bert_nlp_project_ft_imdb_ds_news_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_nlp_project_ft_imdb_ds_news_pipeline` is a English model originally trained by MatFil99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_nlp_project_ft_imdb_ds_news_pipeline_en_5.5.0_3.0_1727278760646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_nlp_project_ft_imdb_ds_news_pipeline_en_5.5.0_3.0_1727278760646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_nlp_project_ft_imdb_ds_news_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_nlp_project_ft_imdb_ds_news_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_nlp_project_ft_imdb_ds_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MatFil99/bert-nlp-project-ft-imdb-ds-news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_persian_farsi_base_uncased_finetuned_parsbert_fa.md b/docs/_posts/ahmedlone127/2024-09-25-bert_persian_farsi_base_uncased_finetuned_parsbert_fa.md
new file mode 100644
index 00000000000000..15fb132e1e4864
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_persian_farsi_base_uncased_finetuned_parsbert_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian bert_persian_farsi_base_uncased_finetuned_parsbert BertEmbeddings from Yasamansaffari73
+author: John Snow Labs
+name: bert_persian_farsi_base_uncased_finetuned_parsbert
+date: 2024-09-25
+tags: [fa, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_persian_farsi_base_uncased_finetuned_parsbert` is a Persian model originally trained by Yasamansaffari73.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_persian_farsi_base_uncased_finetuned_parsbert_fa_5.5.0_3.0_1727241132849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_persian_farsi_base_uncased_finetuned_parsbert_fa_5.5.0_3.0_1727241132849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_persian_farsi_base_uncased_finetuned_parsbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|fa|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/Yasamansaffari73/bert-fa-base-uncased-finetuned-ParsBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-25-bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa.md
new file mode 100644
index 00000000000000..c0dfbd8abb714e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline pipeline BertEmbeddings from Yasamansaffari73
+author: John Snow Labs
+name: bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline
+date: 2024-09-25
+tags: [fa, open_source, pipeline, onnx]
+task: Embeddings
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline` is a Persian model originally trained by Yasamansaffari73.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa_5.5.0_3.0_1727241163964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline_fa_5.5.0_3.0_1727241163964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_persian_farsi_base_uncased_finetuned_parsbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/Yasamansaffari73/bert-fa-base-uncased-finetuned-ParsBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_phrasebank_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_phrasebank_sentiment_analysis_en.md
new file mode 100644
index 00000000000000..7a94276a86dde7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_phrasebank_sentiment_analysis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_phrasebank_sentiment_analysis BertForSequenceClassification from pkbiswas
+author: John Snow Labs
+name: bert_phrasebank_sentiment_analysis
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_phrasebank_sentiment_analysis` is a English model originally trained by pkbiswas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_phrasebank_sentiment_analysis_en_5.5.0_3.0_1727264209163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_phrasebank_sentiment_analysis_en_5.5.0_3.0_1727264209163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_phrasebank_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pkbiswas/Bert-Phrasebank-Sentiment-Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_phrasebank_sentiment_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_phrasebank_sentiment_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..9ffc7ab67a41b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_phrasebank_sentiment_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_phrasebank_sentiment_analysis_pipeline pipeline BertForSequenceClassification from pkbiswas
+author: John Snow Labs
+name: bert_phrasebank_sentiment_analysis_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_phrasebank_sentiment_analysis_pipeline` is a English model originally trained by pkbiswas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_phrasebank_sentiment_analysis_pipeline_en_5.5.0_3.0_1727264230213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_phrasebank_sentiment_analysis_pipeline_en_5.5.0_3.0_1727264230213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_phrasebank_sentiment_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_phrasebank_sentiment_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_phrasebank_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pkbiswas/Bert-Phrasebank-Sentiment-Analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_pooling_based_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_pooling_based_en.md
new file mode 100644
index 00000000000000..06a8fb941346d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_pooling_based_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_pooling_based BertForSequenceClassification from elifcen
+author: John Snow Labs
+name: bert_pooling_based
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_pooling_based` is a English model originally trained by elifcen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_pooling_based_en_5.5.0_3.0_1727284833679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_pooling_based_en_5.5.0_3.0_1727284833679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_pretrained_wikitext_2_raw_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/dimpo/bert-pretrained-wikitext-2-raw-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_semaphore_prediction_w2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_semaphore_prediction_w2_pipeline_en.md
new file mode 100644
index 00000000000000..787bb017cda68a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_semaphore_prediction_w2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_semaphore_prediction_w2_pipeline pipeline BertForSequenceClassification from bondi
+author: John Snow Labs
+name: bert_semaphore_prediction_w2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_semaphore_prediction_w2_pipeline` is a English model originally trained by bondi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_semaphore_prediction_w2_pipeline_en_5.5.0_3.0_1727284708832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_semaphore_prediction_w2_pipeline_en_5.5.0_3.0_1727284708832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_semaphore_prediction_w2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_semaphore_prediction_w2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_semaphore_prediction_w2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/bondi/bert-semaphore-prediction-w2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sentiment_classification_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sentiment_classification_en.md
new file mode 100644
index 00000000000000..ffdcd331cbe930
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sentiment_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sentiment_classification BertForSequenceClassification from Naren579
+author: John Snow Labs
+name: bert_sentiment_classification
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentiment_classification` is a English model originally trained by Naren579.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentiment_classification_en_5.5.0_3.0_1727267226186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentiment_classification_en_5.5.0_3.0_1727267226186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sentiment_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Naren579/BERT-Sentiment-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sentiment_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sentiment_classification_pipeline_en.md
new file mode 100644
index 00000000000000..7c184bdf92c84d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sentiment_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sentiment_classification_pipeline pipeline BertForSequenceClassification from Naren579
+author: John Snow Labs
+name: bert_sentiment_classification_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentiment_classification_pipeline` is a English model originally trained by Naren579.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentiment_classification_pipeline_en_5.5.0_3.0_1727267248567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentiment_classification_pipeline_en_5.5.0_3.0_1727267248567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sentiment_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sentiment_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sentiment_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Naren579/BERT-Sentiment-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding50model_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding50model_en.md
new file mode 100644
index 00000000000000..d38861560f89ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding50model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sst5_padding50model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst5_padding50model
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sst5_padding50model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst5_padding50model_en_5.5.0_3.0_1727287947774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst5_padding50model_en_5.5.0_3.0_1727287947774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst5_padding50model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_sst5_padding50model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_swe_skills_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_swe_skills_ner_en.md
new file mode 100644
index 00000000000000..a19fd483f2dc59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_swe_skills_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_swe_skills_ner BertForTokenClassification from RJuro
+author: John Snow Labs
+name: bert_swe_skills_ner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_swe_skills_ner` is a English model originally trained by RJuro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_swe_skills_ner_en_5.5.0_3.0_1727275164826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_swe_skills_ner_en_5.5.0_3.0_1727275164826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_swe_skills_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/RJuro/bert-swe-skills-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_swe_skills_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_swe_skills_ner_pipeline_en.md
new file mode 100644
index 00000000000000..c1ceaf25d16cfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_swe_skills_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_swe_skills_ner_pipeline pipeline BertForTokenClassification from RJuro
+author: John Snow Labs
+name: bert_swe_skills_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_swe_skills_ner_pipeline` is a English model originally trained by RJuro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_swe_skills_ner_pipeline_en_5.5.0_3.0_1727275189804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_swe_skills_ner_pipeline_en_5.5.0_3.0_1727275189804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_swe_skills_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_swe_skills_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_swe_skills_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/RJuro/bert-swe-skills-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_emotion_kd_bert_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_emotion_kd_bert_en.md
new file mode 100644
index 00000000000000..bce6b3e6b358f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_emotion_kd_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tiny_emotion_kd_bert BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_emotion_kd_bert
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_emotion_kd_bert` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_emotion_kd_bert_en_5.5.0_3.0_1727279234958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_emotion_kd_bert_en_5.5.0_3.0_1727279234958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_emotion_kd_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-tiny-emotion-KD-BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_emotion_kd_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_emotion_kd_bert_pipeline_en.md
new file mode 100644
index 00000000000000..b078379ff5c44a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_emotion_kd_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_tiny_emotion_kd_bert_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_emotion_kd_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_emotion_kd_bert_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_emotion_kd_bert_pipeline_en_5.5.0_3.0_1727279236292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_emotion_kd_bert_pipeline_en_5.5.0_3.0_1727279236292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tiny_emotion_kd_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tiny_emotion_kd_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_emotion_kd_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-tiny-emotion-KD-BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_massive_intent_kd_bert_and_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_massive_intent_kd_bert_and_distilbert_en.md
new file mode 100644
index 00000000000000..8db7ad884c1106
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_massive_intent_kd_bert_and_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tiny_massive_intent_kd_bert_and_distilbert BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_massive_intent_kd_bert_and_distilbert
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_massive_intent_kd_bert_and_distilbert` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_kd_bert_and_distilbert_en_5.5.0_3.0_1727278610224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_kd_bert_and_distilbert_en_5.5.0_3.0_1727278610224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_massive_intent_kd_bert_and_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-tiny-Massive-intent-KD-BERT_and_distilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..26bb05c5019956
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline_en_5.5.0_3.0_1727278611412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline_en_5.5.0_3.0_1727278611412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_massive_intent_kd_bert_and_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-tiny-Massive-intent-KD-BERT_and_distilBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tokenizer_updated_multilingual_words_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tokenizer_updated_multilingual_words_pipeline_xx.md
new file mode 100644
index 00000000000000..f9f2929acc01e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tokenizer_updated_multilingual_words_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bert_tokenizer_updated_multilingual_words_pipeline pipeline BertForTokenClassification from junaidali
+author: John Snow Labs
+name: bert_tokenizer_updated_multilingual_words_pipeline
+date: 2024-09-25
+tags: [xx, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tokenizer_updated_multilingual_words_pipeline` is a Multilingual model originally trained by junaidali.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tokenizer_updated_multilingual_words_pipeline_xx_5.5.0_3.0_1727246876908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tokenizer_updated_multilingual_words_pipeline_xx_5.5.0_3.0_1727246876908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tokenizer_updated_multilingual_words_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tokenizer_updated_multilingual_words_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tokenizer_updated_multilingual_words_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/junaidali/bert_tokenizer_updated_multilingual_words
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tokenizer_updated_multilingual_words_xx.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tokenizer_updated_multilingual_words_xx.md
new file mode 100644
index 00000000000000..89a0ed20d163e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tokenizer_updated_multilingual_words_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual bert_tokenizer_updated_multilingual_words BertForTokenClassification from junaidali
+author: John Snow Labs
+name: bert_tokenizer_updated_multilingual_words
+date: 2024-09-25
+tags: [xx, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tokenizer_updated_multilingual_words` is a Multilingual model originally trained by junaidali.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tokenizer_updated_multilingual_words_xx_5.5.0_3.0_1727246823247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tokenizer_updated_multilingual_words_xx_5.5.0_3.0_1727246823247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tokenizer_updated_multilingual_words|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/junaidali/bert_tokenizer_updated_multilingual_words
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tonga_tonga_islands_distilbert_ner_zacarage_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tonga_tonga_islands_distilbert_ner_zacarage_en.md
new file mode 100644
index 00000000000000..6077cfe1c0bdbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tonga_tonga_islands_distilbert_ner_zacarage_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tonga_tonga_islands_distilbert_ner_zacarage BertForTokenClassification from Zacarage
+author: John Snow Labs
+name: bert_tonga_tonga_islands_distilbert_ner_zacarage
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tonga_tonga_islands_distilbert_ner_zacarage` is a English model originally trained by Zacarage.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tonga_tonga_islands_distilbert_ner_zacarage_en_5.5.0_3.0_1727246436869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tonga_tonga_islands_distilbert_ner_zacarage_en_5.5.0_3.0_1727246436869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tonga_tonga_islands_distilbert_ner_zacarage|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|244.3 MB|
+
+## References
+
+https://huggingface.co/Zacarage/bert-to-distilbert-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline_en.md
new file mode 100644
index 00000000000000..74bc331faf0dc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline pipeline BertForTokenClassification from Zacarage
+author: John Snow Labs
+name: bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline` is a English model originally trained by Zacarage.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline_en_5.5.0_3.0_1727246449659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline_en_5.5.0_3.0_1727246449659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tonga_tonga_islands_distilbert_ner_zacarage_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|244.3 MB|
+
+## References
+
+https://huggingface.co/Zacarage/bert-to-distilbert-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_twitter_english_lost_job_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_twitter_english_lost_job_pipeline_en.md
new file mode 100644
index 00000000000000..af6f8c26b98853
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_twitter_english_lost_job_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_twitter_english_lost_job_pipeline pipeline BertForSequenceClassification from worldbank
+author: John Snow Labs
+name: bert_twitter_english_lost_job_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_twitter_english_lost_job_pipeline` is a English model originally trained by worldbank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_twitter_english_lost_job_pipeline_en_5.5.0_3.0_1727277530447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_twitter_english_lost_job_pipeline_en_5.5.0_3.0_1727277530447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_twitter_english_lost_job_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_twitter_english_lost_job_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_twitter_english_lost_job_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.1 MB|
+
+## References
+
+https://huggingface.co/worldbank/bert-twitter-en-lost-job
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bertmodel_en.md b/docs/_posts/ahmedlone127/2024-09-25-bertmodel_en.md
new file mode 100644
index 00000000000000..403e2ae1fc14db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bertmodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertmodel BertForTokenClassification from sigaldanilov
+author: John Snow Labs
+name: bertmodel
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertmodel` is a English model originally trained by sigaldanilov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertmodel_en_5.5.0_3.0_1727246283275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertmodel_en_5.5.0_3.0_1727246283275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertmodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sigaldanilov/bertmodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bertmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bertmodel_pipeline_en.md
new file mode 100644
index 00000000000000..0379e305d9d912
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bertmodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertmodel_pipeline pipeline BertForTokenClassification from sigaldanilov
+author: John Snow Labs
+name: bertmodel_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertmodel_pipeline` is a English model originally trained by sigaldanilov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertmodel_pipeline_en_5.5.0_3.0_1727246305633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertmodel_pipeline_en_5.5.0_3.0_1727246305633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sigaldanilov/bertmodel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_21_en.md b/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_21_en.md
new file mode 100644
index 00000000000000..6bfc463485d5cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_21_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English best_model_sst_2_16_21 BertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_sst_2_16_21
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`best_model_sst_2_16_21` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_sst_2_16_21_en_5.5.0_3.0_1727266995876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_sst_2_16_21_en_5.5.0_3.0_1727266995876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_prescripciones_medicas|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/ccarvajal/beto-prescripciones-medicas
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-beto_sentiment_analysis_finetuned_onpremise_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-beto_sentiment_analysis_finetuned_onpremise_pipeline_en.md
new file mode 100644
index 00000000000000..f2d6f9c7b9e76a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-beto_sentiment_analysis_finetuned_onpremise_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English beto_sentiment_analysis_finetuned_onpremise_pipeline pipeline BertForSequenceClassification from Cristian-dcg
+author: John Snow Labs
+name: beto_sentiment_analysis_finetuned_onpremise_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_sentiment_analysis_finetuned_onpremise_pipeline` is a English model originally trained by Cristian-dcg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_onpremise_pipeline_en_5.5.0_3.0_1727263946307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_onpremise_pipeline_en_5.5.0_3.0_1727263946307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("beto_sentiment_analysis_finetuned_onpremise_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("beto_sentiment_analysis_finetuned_onpremise_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sentiment_analysis_finetuned_onpremise_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/Cristian-dcg/beto-sentiment-analysis-finetuned-onpremise
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-biobert_huner_cell_v1_en.md b/docs/_posts/ahmedlone127/2024-09-25-biobert_huner_cell_v1_en.md
new file mode 100644
index 00000000000000..5f2fbb14de4c14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-biobert_huner_cell_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biobert_huner_cell_v1 BertForTokenClassification from aitslab
+author: John Snow Labs
+name: biobert_huner_cell_v1
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_huner_cell_v1` is a English model originally trained by aitslab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_huner_cell_v1_en_5.5.0_3.0_1727246222103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_huner_cell_v1_en_5.5.0_3.0_1727246222103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_huner_cell_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/aitslab/biobert_huner_cell_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-biobert_huner_disease_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-biobert_huner_disease_v1_pipeline_en.md
new file mode 100644
index 00000000000000..00ad252e2f275f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-biobert_huner_disease_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biobert_huner_disease_v1_pipeline pipeline BertForTokenClassification from aitslab
+author: John Snow Labs
+name: biobert_huner_disease_v1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_huner_disease_v1_pipeline` is a English model originally trained by aitslab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_huner_disease_v1_pipeline_en_5.5.0_3.0_1727280441019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_huner_disease_v1_pipeline_en_5.5.0_3.0_1727280441019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biobert_huner_disease_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biobert_huner_disease_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_huner_disease_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/aitslab/biobert_huner_disease_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-biobit_drugtemist_italian_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-biobit_drugtemist_italian_ner_en.md
new file mode 100644
index 00000000000000..7f3082ae818a42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-biobit_drugtemist_italian_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biobit_drugtemist_italian_ner BertForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: biobit_drugtemist_italian_ner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobit_drugtemist_italian_ner` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobit_drugtemist_italian_ner_en_5.5.0_3.0_1727258955213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobit_drugtemist_italian_ner_en_5.5.0_3.0_1727258955213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobit_drugtemist_italian_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.2 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bioBIT-drugtemist-it-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline_en.md
new file mode 100644
index 00000000000000..05851fb62635d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline pipeline BertForTokenClassification from PDBEurope
+author: John Snow Labs
+name: biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline` is a English model originally trained by PDBEurope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline_en_5.5.0_3.0_1727275559505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline_en_5.5.0_3.0_1727275559505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_proteinstructure_ner_v1_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v1.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_24000_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_24000_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..67a001d658d96a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_24000_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English boss_toxicity_24000_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_toxicity_24000_bert_base_uncased
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`boss_toxicity_24000_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_toxicity_24000_bert_base_uncased_en_5.5.0_3.0_1727264076701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_toxicity_24000_bert_base_uncased_en_5.5.0_3.0_1727264076701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_toxicity_24000_bert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/boss-toxicity-24000-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_pubmed_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_pubmed_bert_pipeline_en.md
new file mode 100644
index 00000000000000..9b08f9f5cf98f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_pubmed_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_pubmed_bert_pipeline pipeline BertForTokenClassification from arunavsk1
+author: John Snow Labs
+name: burmese_awesome_pubmed_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_pubmed_bert_pipeline` is a English model originally trained by arunavsk1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_pubmed_bert_pipeline_en_5.5.0_3.0_1727247467774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_pubmed_bert_pipeline_en_5.5.0_3.0_1727247467774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_pubmed_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_pubmed_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_pubmed_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/arunavsk1/my-awesome-pubmed-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_wnut_model_niharikavats2397_en.md b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_wnut_model_niharikavats2397_en.md
new file mode 100644
index 00000000000000..2a1aa22aaa9985
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_wnut_model_niharikavats2397_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_niharikavats2397 BertForTokenClassification from niharikavats2397
+author: John Snow Labs
+name: burmese_awesome_wnut_model_niharikavats2397
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_niharikavats2397` is a English model originally trained by niharikavats2397.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_niharikavats2397_en_5.5.0_3.0_1727246600387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_niharikavats2397_en_5.5.0_3.0_1727246600387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_niharikavats2397|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/niharikavats2397/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_wnut_model_niharikavats2397_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_wnut_model_niharikavats2397_pipeline_en.md
new file mode 100644
index 00000000000000..3929854427a80c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_wnut_model_niharikavats2397_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_niharikavats2397_pipeline pipeline BertForTokenClassification from niharikavats2397
+author: John Snow Labs
+name: burmese_awesome_wnut_model_niharikavats2397_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_niharikavats2397_pipeline` is a English model originally trained by niharikavats2397.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_niharikavats2397_pipeline_en_5.5.0_3.0_1727246621542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_niharikavats2397_pipeline_en_5.5.0_3.0_1727246621542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_model_niharikavats2397_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_niharikavats2397_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_niharikavats2397_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/niharikavats2397/my_awesome_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-camedbert_512_fl32_checkpoint_17386_de.md b/docs/_posts/ahmedlone127/2024-09-25-camedbert_512_fl32_checkpoint_17386_de.md
new file mode 100644
index 00000000000000..90cb764113722c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-camedbert_512_fl32_checkpoint_17386_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German camedbert_512_fl32_checkpoint_17386 BertForTokenClassification from MSey
+author: John Snow Labs
+name: camedbert_512_fl32_checkpoint_17386
+date: 2024-09-25
+tags: [de, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`camedbert_512_fl32_checkpoint_17386` is a German model originally trained by MSey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camedbert_512_fl32_checkpoint_17386_de_5.5.0_3.0_1727247124891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camedbert_512_fl32_checkpoint_17386_de_5.5.0_3.0_1727247124891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|camedbert_512_fl32_checkpoint_17386|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/MSey/CaMedBERT-512_fl32_checkpoint-17386
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cares_bert_base_en.md b/docs/_posts/ahmedlone127/2024-09-25-cares_bert_base_en.md
new file mode 100644
index 00000000000000..9bbf09f69c784a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cares_bert_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cares_bert_base BertForSequenceClassification from chizhikchi
+author: John Snow Labs
+name: cares_bert_base
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cares_bert_base` is a English model originally trained by chizhikchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cares_bert_base_en_5.5.0_3.0_1727285262658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cares_bert_base_en_5.5.0_3.0_1727285262658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cares_bert_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/chizhikchi/cares-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-case_analysis_inlegalbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-case_analysis_inlegalbert_pipeline_en.md
new file mode 100644
index 00000000000000..1922fc82ed74f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-case_analysis_inlegalbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English case_analysis_inlegalbert_pipeline pipeline BertForSequenceClassification from cite-text-analysis
+author: John Snow Labs
+name: case_analysis_inlegalbert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`case_analysis_inlegalbert_pipeline` is a English model originally trained by cite-text-analysis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/case_analysis_inlegalbert_pipeline_en_5.5.0_3.0_1727263755028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/case_analysis_inlegalbert_pipeline_en_5.5.0_3.0_1727263755028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("case_analysis_inlegalbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("case_analysis_inlegalbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|case_analysis_inlegalbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/cite-text-analysis/case-analysis-InLegalBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-chilean_spanish_hate_speech_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-25-chilean_spanish_hate_speech_pipeline_es.md
new file mode 100644
index 00000000000000..9252683571bbce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-chilean_spanish_hate_speech_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish chilean_spanish_hate_speech_pipeline pipeline BertForSequenceClassification from jorgeortizfuentes
+author: John Snow Labs
+name: chilean_spanish_hate_speech_pipeline
+date: 2024-09-25
+tags: [es, open_source, pipeline, onnx]
+task: Text Classification
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chilean_spanish_hate_speech_pipeline` is a Castilian, Spanish model originally trained by jorgeortizfuentes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chilean_spanish_hate_speech_pipeline_es_5.5.0_3.0_1727245880418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chilean_spanish_hate_speech_pipeline_es_5.5.0_3.0_1727245880418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chilean_spanish_hate_speech_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chilean_spanish_hate_speech_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chilean_spanish_hate_speech_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|411.6 MB|
+
+## References
+
+https://huggingface.co/jorgeortizfuentes/chilean-spanish-hate-speech
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ckiplab_albert_base_chinese_david_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-ckiplab_albert_base_chinese_david_ner_en.md
new file mode 100644
index 00000000000000..bbbb36198ca9e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ckiplab_albert_base_chinese_david_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ckiplab_albert_base_chinese_david_ner BertForTokenClassification from davidliu1110
+author: John Snow Labs
+name: ckiplab_albert_base_chinese_david_ner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ckiplab_albert_base_chinese_david_ner` is a English model originally trained by davidliu1110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ckiplab_albert_base_chinese_david_ner_en_5.5.0_3.0_1727249669813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ckiplab_albert_base_chinese_david_ner_en_5.5.0_3.0_1727249669813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ckiplab_albert_base_chinese_david_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|37.6 MB|
+
+## References
+
+https://huggingface.co/davidliu1110/ckiplab-albert-base-chinese-david-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ckiplab_albert_base_chinese_david_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ckiplab_albert_base_chinese_david_ner_pipeline_en.md
new file mode 100644
index 00000000000000..05fc000044d35e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ckiplab_albert_base_chinese_david_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ckiplab_albert_base_chinese_david_ner_pipeline pipeline BertForTokenClassification from davidliu1110
+author: John Snow Labs
+name: ckiplab_albert_base_chinese_david_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ckiplab_albert_base_chinese_david_ner_pipeline` is a English model originally trained by davidliu1110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ckiplab_albert_base_chinese_david_ner_pipeline_en_5.5.0_3.0_1727249671995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ckiplab_albert_base_chinese_david_ner_pipeline_en_5.5.0_3.0_1727249671995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ckiplab_albert_base_chinese_david_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ckiplab_albert_base_chinese_david_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ckiplab_albert_base_chinese_david_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|37.6 MB|
+
+## References
+
+https://huggingface.co/davidliu1110/ckiplab-albert-base-chinese-david-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-clasificador_poem_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-clasificador_poem_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..f2ac974be0c5b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-clasificador_poem_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clasificador_poem_sentiment_pipeline pipeline BertForSequenceClassification from joheras
+author: John Snow Labs
+name: clasificador_poem_sentiment_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificador_poem_sentiment_pipeline` is a English model originally trained by joheras.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_poem_sentiment_pipeline_en_5.5.0_3.0_1727276929740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_poem_sentiment_pipeline_en_5.5.0_3.0_1727276929740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clasificador_poem_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clasificador_poem_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificador_poem_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/joheras/clasificador-poem-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-classicalchineseletterclassification_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-25-classicalchineseletterclassification_pipeline_zh.md
new file mode 100644
index 00000000000000..c79141b9f062bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-classicalchineseletterclassification_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese classicalchineseletterclassification_pipeline pipeline BertForSequenceClassification from cbdb
+author: John Snow Labs
+name: classicalchineseletterclassification_pipeline
+date: 2024-09-25
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classicalchineseletterclassification_pipeline` is a Chinese model originally trained by cbdb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classicalchineseletterclassification_pipeline_zh_5.5.0_3.0_1727267123675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classicalchineseletterclassification_pipeline_zh_5.5.0_3.0_1727267123675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classicalchineseletterclassification_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classicalchineseletterclassification_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classicalchineseletterclassification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/cbdb/ClassicalChineseLetterClassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-classicalchineseletterclassification_zh.md b/docs/_posts/ahmedlone127/2024-09-25-classicalchineseletterclassification_zh.md
new file mode 100644
index 00000000000000..a582014c71ffcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-classicalchineseletterclassification_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese classicalchineseletterclassification BertForSequenceClassification from cbdb
+author: John Snow Labs
+name: classicalchineseletterclassification
+date: 2024-09-25
+tags: [zh, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classicalchineseletterclassification` is a Chinese model originally trained by cbdb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classicalchineseletterclassification_zh_5.5.0_3.0_1727267102616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classicalchineseletterclassification_zh_5.5.0_3.0_1727267102616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classicalchineseletterclassification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/cbdb/ClassicalChineseLetterClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-classifier_theojolliffe_en.md b/docs/_posts/ahmedlone127/2024-09-25-classifier_theojolliffe_en.md
new file mode 100644
index 00000000000000..1aebe4faee0112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-classifier_theojolliffe_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classifier_theojolliffe BertForSequenceClassification from theojolliffe
+author: John Snow Labs
+name: classifier_theojolliffe
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifier_theojolliffe` is a English model originally trained by theojolliffe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifier_theojolliffe_en_5.5.0_3.0_1727266697558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier_theojolliffe_en_5.5.0_3.0_1727266697558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifier_theojolliffe|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|415.8 MB|
+
+## References
+
+https://huggingface.co/theojolliffe/classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-classifier_theojolliffe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-classifier_theojolliffe_pipeline_en.md
new file mode 100644
index 00000000000000..bcc635aac4bb00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-classifier_theojolliffe_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classifier_theojolliffe_pipeline pipeline BertForSequenceClassification from theojolliffe
+author: John Snow Labs
+name: classifier_theojolliffe_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifier_theojolliffe_pipeline` is a English model originally trained by theojolliffe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifier_theojolliffe_pipeline_en_5.5.0_3.0_1727266719676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier_theojolliffe_pipeline_en_5.5.0_3.0_1727266719676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classifier_theojolliffe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classifier_theojolliffe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifier_theojolliffe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|415.8 MB|
+
+## References
+
+https://huggingface.co/theojolliffe/classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-clinicalbert_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-clinicalbert_finetuned_en.md
new file mode 100644
index 00000000000000..c02c9d611d0f00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-clinicalbert_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clinicalbert_finetuned BertForSequenceClassification from SrinivasaPragada
+author: John Snow Labs
+name: clinicalbert_finetuned
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinicalbert_finetuned` is a English model originally trained by SrinivasaPragada.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicalbert_finetuned_en_5.5.0_3.0_1727254489266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicalbert_finetuned_en_5.5.0_3.0_1727254489266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalbert_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.6 MB|
+
+## References
+
+https://huggingface.co/SrinivasaPragada/clinicalbert-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cnc_v2_st1_csc_en.md b/docs/_posts/ahmedlone127/2024-09-25-cnc_v2_st1_csc_en.md
new file mode 100644
index 00000000000000..e6ae349a4272b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cnc_v2_st1_csc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cnc_v2_st1_csc BertForSequenceClassification from tanfiona
+author: John Snow Labs
+name: cnc_v2_st1_csc
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cnc_v2_st1_csc` is a English model originally trained by tanfiona.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnc_v2_st1_csc_en_5.5.0_3.0_1727269584466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnc_v2_st1_csc_en_5.5.0_3.0_1727269584466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnc_v2_st1_csc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/tanfiona/cnc-v2-st1-csc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cnc_v2_st1_csc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-cnc_v2_st1_csc_pipeline_en.md
new file mode 100644
index 00000000000000..29cc011c2c3ed5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cnc_v2_st1_csc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cnc_v2_st1_csc_pipeline pipeline BertForSequenceClassification from tanfiona
+author: John Snow Labs
+name: cnc_v2_st1_csc_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cnc_v2_st1_csc_pipeline` is a English model originally trained by tanfiona.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnc_v2_st1_csc_pipeline_en_5.5.0_3.0_1727269605981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnc_v2_st1_csc_pipeline_en_5.5.0_3.0_1727269605981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cnc_v2_st1_csc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cnc_v2_st1_csc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnc_v2_st1_csc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/tanfiona/cnc-v2-st1-csc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-conjunction_classification_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-conjunction_classification_finetuned_en.md
new file mode 100644
index 00000000000000..847861e24ace54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-conjunction_classification_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English conjunction_classification_finetuned BertForSequenceClassification from nhanpv
+author: John Snow Labs
+name: conjunction_classification_finetuned
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`conjunction_classification_finetuned` is a English model originally trained by nhanpv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conjunction_classification_finetuned_en_5.5.0_3.0_1727288691878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conjunction_classification_finetuned_en_5.5.0_3.0_1727288691878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|conjunction_classification_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nhanpv/conjunction-classification-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-conjunction_classification_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-conjunction_classification_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..ebc661c1740428
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-conjunction_classification_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English conjunction_classification_finetuned_pipeline pipeline BertForSequenceClassification from nhanpv
+author: John Snow Labs
+name: conjunction_classification_finetuned_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`conjunction_classification_finetuned_pipeline` is a English model originally trained by nhanpv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conjunction_classification_finetuned_pipeline_en_5.5.0_3.0_1727288718154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conjunction_classification_finetuned_pipeline_en_5.5.0_3.0_1727288718154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("conjunction_classification_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("conjunction_classification_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|conjunction_classification_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nhanpv/conjunction-classification-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-consumer_complaint_categorization_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-consumer_complaint_categorization_pipeline_en.md
new file mode 100644
index 00000000000000..4db5499dfc12a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-consumer_complaint_categorization_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English consumer_complaint_categorization_pipeline pipeline BertForSequenceClassification from ThirdEyeData
+author: John Snow Labs
+name: consumer_complaint_categorization_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`consumer_complaint_categorization_pipeline` is a English model originally trained by ThirdEyeData.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/consumer_complaint_categorization_pipeline_en_5.5.0_3.0_1727245845783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/consumer_complaint_categorization_pipeline_en_5.5.0_3.0_1727245845783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("consumer_complaint_categorization_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("consumer_complaint_categorization_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|consumer_complaint_categorization_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ThirdEyeData/Consumer-Complaint-Categorization
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_en.md b/docs/_posts/ahmedlone127/2024-09-25-correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_en.md
new file mode 100644
index 00000000000000..d3209048a792f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47 BertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_en_5.5.0_3.0_1727270650498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_en_5.5.0_3.0_1727270650498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_BERT_token_itr0_0.0001_essays_01_03_2022-15_48_47
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline_en.md
new file mode 100644
index 00000000000000..a068e7fde012a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline pipeline BertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline_en_5.5.0_3.0_1727270671729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline_en_5.5.0_3.0_1727270671729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_bert_token_itr0_0_0001_essays_01_03_2022_15_48_47_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_BERT_token_itr0_0.0001_essays_01_03_2022-15_48_47
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_analysis_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_analysis_bert_pipeline_en.md
new file mode 100644
index 00000000000000..53efac5f0b324c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_analysis_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English crypto_sentiment_analysis_bert_pipeline pipeline BertForSequenceClassification from Robertuus
+author: John Snow Labs
+name: crypto_sentiment_analysis_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`crypto_sentiment_analysis_bert_pipeline` is a English model originally trained by Robertuus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crypto_sentiment_analysis_bert_pipeline_en_5.5.0_3.0_1727285070915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crypto_sentiment_analysis_bert_pipeline_en_5.5.0_3.0_1727285070915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("crypto_sentiment_analysis_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("crypto_sentiment_analysis_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|crypto_sentiment_analysis_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Robertuus/Crypto_Sentiment_Analysis_Bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_en.md
new file mode 100644
index 00000000000000..5f3f66a2a1c48c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English crypto_sentiment BertForSequenceClassification from ckandemir
+author: John Snow Labs
+name: crypto_sentiment
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`crypto_sentiment` is a English model originally trained by ckandemir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crypto_sentiment_en_5.5.0_3.0_1727268448023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crypto_sentiment_en_5.5.0_3.0_1727268448023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|crypto_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ckandemir/crypto_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..7efc59467d69ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-crypto_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English crypto_sentiment_pipeline pipeline BertForSequenceClassification from ckandemir
+author: John Snow Labs
+name: crypto_sentiment_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`crypto_sentiment_pipeline` is a English model originally trained by ckandemir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crypto_sentiment_pipeline_en_5.5.0_3.0_1727268470814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crypto_sentiment_pipeline_en_5.5.0_3.0_1727268470814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("crypto_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("crypto_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|crypto_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ckandemir/crypto_sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cvai_bert_asag_en.md b/docs/_posts/ahmedlone127/2024-09-25-cvai_bert_asag_en.md
new file mode 100644
index 00000000000000..cfc47fff6376a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cvai_bert_asag_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cvai_bert_asag BertForSequenceClassification from johnpaulbin
+author: John Snow Labs
+name: cvai_bert_asag
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cvai_bert_asag` is a English model originally trained by johnpaulbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cvai_bert_asag_en_5.5.0_3.0_1727286207987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cvai_bert_asag_en_5.5.0_3.0_1727286207987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cvai_bert_asag|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/johnpaulbin/cvai-bert-asag
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cvai_bert_asag_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-cvai_bert_asag_pipeline_en.md
new file mode 100644
index 00000000000000..bc604c5c661f39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cvai_bert_asag_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cvai_bert_asag_pipeline pipeline BertForSequenceClassification from johnpaulbin
+author: John Snow Labs
+name: cvai_bert_asag_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cvai_bert_asag_pipeline` is a English model originally trained by johnpaulbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cvai_bert_asag_pipeline_en_5.5.0_3.0_1727286229187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cvai_bert_asag_pipeline_en_5.5.0_3.0_1727286229187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cvai_bert_asag_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cvai_bert_asag_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cvai_bert_asag_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/johnpaulbin/cvai-bert-asag
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-danish_bert_en.md b/docs/_posts/ahmedlone127/2024-09-25-danish_bert_en.md
new file mode 100644
index 00000000000000..63176340962c83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-danish_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English danish_bert BertEmbeddings from iolariu
+author: John Snow Labs
+name: danish_bert
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_bert` is a English model originally trained by iolariu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_bert_en_5.5.0_3.0_1727232586705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_bert_en_5.5.0_3.0_1727232586705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/iolariu/DA_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_20_en.md b/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_20_en.md
new file mode 100644
index 00000000000000..21acbd6c8e0b04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_20 BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_20
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbpedia_classes_bert_base_uncased_few_20` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_en_5.5.0_3.0_1727286884203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_en_5.5.0_3.0_1727286884203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_20|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_20_pipeline_en.md
new file mode 100644
index 00000000000000..d167e65599cad0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_20_pipeline pipeline BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_20_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbpedia_classes_bert_base_uncased_few_20_pipeline` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_pipeline_en_5.5.0_3.0_1727286905887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_pipeline_en_5.5.0_3.0_1727286905887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-decision_bert_bio_en.md b/docs/_posts/ahmedlone127/2024-09-25-decision_bert_bio_en.md
new file mode 100644
index 00000000000000..0dc7ac2fa1add4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-decision_bert_bio_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English decision_bert_bio BertForSequenceClassification from k-partha
+author: John Snow Labs
+name: decision_bert_bio
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`decision_bert_bio` is a English model originally trained by k-partha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/decision_bert_bio_en_5.5.0_3.0_1727273102482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/decision_bert_bio_en_5.5.0_3.0_1727273102482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|decision_bert_bio|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/k-partha/decision_bert_bio
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-decision_bert_bio_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-decision_bert_bio_pipeline_en.md
new file mode 100644
index 00000000000000..e74c2559d67dba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-decision_bert_bio_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English decision_bert_bio_pipeline pipeline BertForSequenceClassification from k-partha
+author: John Snow Labs
+name: decision_bert_bio_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`decision_bert_bio_pipeline` is a English model originally trained by k-partha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/decision_bert_bio_pipeline_en_5.5.0_3.0_1727273137493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/decision_bert_bio_pipeline_en_5.5.0_3.0_1727273137493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("decision_bert_bio_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("decision_bert_bio_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|decision_bert_bio_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/k-partha/decision_bert_bio
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-destractive_context_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-destractive_context_pipeline_en.md
new file mode 100644
index 00000000000000..63a93aadc03014
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-destractive_context_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English destractive_context_pipeline pipeline BertForSequenceClassification from Vlad1m
+author: John Snow Labs
+name: destractive_context_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`destractive_context_pipeline` is a English model originally trained by Vlad1m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/destractive_context_pipeline_en_5.5.0_3.0_1727261275422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/destractive_context_pipeline_en_5.5.0_3.0_1727261275422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("destractive_context_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("destractive_context_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|destractive_context_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/Vlad1m/destractive_context
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dialect_msa_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-dialect_msa_detection_pipeline_en.md
new file mode 100644
index 00000000000000..bbed8ef2e34011
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dialect_msa_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dialect_msa_detection_pipeline pipeline XlmRoBertaForSequenceClassification from sadanyh
+author: John Snow Labs
+name: dialect_msa_detection_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dialect_msa_detection_pipeline` is a English model originally trained by sadanyh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialect_msa_detection_pipeline_en_5.5.0_3.0_1727229668451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialect_msa_detection_pipeline_en_5.5.0_3.0_1727229668451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dialect_msa_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dialect_msa_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialect_msa_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|782.4 MB|
+
+## References
+
+https://huggingface.co/sadanyh/Dialect-MSA-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dialogue_final_model_en.md b/docs/_posts/ahmedlone127/2024-09-25-dialogue_final_model_en.md
new file mode 100644
index 00000000000000..fcec274221a7cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dialogue_final_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dialogue_final_model BertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue_final_model
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dialogue_final_model` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue_final_model_en_5.5.0_3.0_1727288753786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue_final_model_en_5.5.0_3.0_1727288753786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue_final_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/SharonTudi/DIALOGUE_final_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_cased_en.md
new file mode 100644
index 00000000000000..88e6c4ebf0be21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_cased_en.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: DistilBERT base model (cased)
+author: John Snow Labs
+name: distilbert_base_cased
+date: 2024-09-25
+tags: [distilbert, en, english, open_source, embeddings, onnx, openvino]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-cased). It was introduced in [this paper](https://arxiv.org/abs/1910.01108). The code for the distillation process can be found [here](https://github.com/huggingface/transformers/tree/master/examples/research_projects/distillation). This model is cased: it does make a difference between english and English.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_en_5.5.0_3.0_1727268763405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_en_5.5.0_3.0_1727268763405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+{:.model-param}
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_accelerate|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/NSandra/distilbert-base-uncased-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_emotion_yenicerisgk_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_emotion_yenicerisgk_en.md
new file mode 100644
index 00000000000000..b6bfbacbce2401
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_emotion_yenicerisgk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_emotion_yenicerisgk BertForSequenceClassification from yeniceriSGK
+author: John Snow Labs
+name: distilbert_emotion_yenicerisgk
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_yenicerisgk` is a English model originally trained by yeniceriSGK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_yenicerisgk_en_5.5.0_3.0_1727237438555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_yenicerisgk_en_5.5.0_3.0_1727237438555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_yenicerisgk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yeniceriSGK/distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_emotion_yenicerisgk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_emotion_yenicerisgk_pipeline_en.md
new file mode 100644
index 00000000000000..ee22b1dc3ca919
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_emotion_yenicerisgk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_yenicerisgk_pipeline pipeline BertForSequenceClassification from yeniceriSGK
+author: John Snow Labs
+name: distilbert_emotion_yenicerisgk_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_yenicerisgk_pipeline` is a English model originally trained by yeniceriSGK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_yenicerisgk_pipeline_en_5.5.0_3.0_1727237459844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_yenicerisgk_pipeline_en_5.5.0_3.0_1727237459844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_yenicerisgk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_yenicerisgk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_yenicerisgk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yeniceriSGK/distilbert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_finetuned_imdb_neural_net_rahul_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_finetuned_imdb_neural_net_rahul_en.md
new file mode 100644
index 00000000000000..f043707d37e842
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_finetuned_imdb_neural_net_rahul_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_neural_net_rahul BertEmbeddings from neural-net-rahul
+author: John Snow Labs
+name: distilbert_finetuned_imdb_neural_net_rahul
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_neural_net_rahul` is a English model originally trained by neural-net-rahul.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_neural_net_rahul_en_5.5.0_3.0_1727231514095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_neural_net_rahul_en_5.5.0_3.0_1727231514095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_neural_net_rahul|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/neural-net-rahul/distilbert-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_finetuned_imdb_neural_net_rahul_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_finetuned_imdb_neural_net_rahul_pipeline_en.md
new file mode 100644
index 00000000000000..fe06b8f1f3fb92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_finetuned_imdb_neural_net_rahul_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_neural_net_rahul_pipeline pipeline BertEmbeddings from neural-net-rahul
+author: John Snow Labs
+name: distilbert_finetuned_imdb_neural_net_rahul_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_neural_net_rahul_pipeline` is a English model originally trained by neural-net-rahul.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_neural_net_rahul_pipeline_en_5.5.0_3.0_1727231535128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_neural_net_rahul_pipeline_en_5.5.0_3.0_1727231535128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_imdb_neural_net_rahul_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_imdb_neural_net_rahul_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_neural_net_rahul_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/neural-net-rahul/distilbert-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_portuguese_cased_finetuned_quantity_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_portuguese_cased_finetuned_quantity_en.md
new file mode 100644
index 00000000000000..7a960caae1d799
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_portuguese_cased_finetuned_quantity_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English distilbert_portuguese_cased_finetuned_quantity BertForSequenceClassification from alexia20816
+author: John Snow Labs
+name: distilbert_portuguese_cased_finetuned_quantity
+date: 2024-09-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_portuguese_cased_finetuned_quantity` is a English model originally trained by alexia20816.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_cased_finetuned_quantity_en_5.5.0_3.0_1727235868972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_cased_finetuned_quantity_en_5.5.0_3.0_1727235868972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_portuguese_cased_finetuned_quantity|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|279.9 MB|
+
+## References
+
+References
+
+https://huggingface.co/alexia20816/distilbert-portuguese-cased-finetuned-quantity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_portuguese_cased_finetuned_quantity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_portuguese_cased_finetuned_quantity_pipeline_en.md
new file mode 100644
index 00000000000000..1794a824f0de41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_portuguese_cased_finetuned_quantity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_portuguese_cased_finetuned_quantity_pipeline pipeline BertForSequenceClassification from xc2450
+author: John Snow Labs
+name: distilbert_portuguese_cased_finetuned_quantity_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_portuguese_cased_finetuned_quantity_pipeline` is a English model originally trained by xc2450.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_cased_finetuned_quantity_pipeline_en_5.5.0_3.0_1727235884228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_cased_finetuned_quantity_pipeline_en_5.5.0_3.0_1727235884228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_portuguese_cased_finetuned_quantity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_portuguese_cased_finetuned_quantity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_portuguese_cased_finetuned_quantity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|279.9 MB|
+
+## References
+
+https://huggingface.co/xc2450/distilbert-portuguese-cased-finetuned-quantity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distillbert_distilled_ag_news_en.md b/docs/_posts/ahmedlone127/2024-09-25-distillbert_distilled_ag_news_en.md
new file mode 100644
index 00000000000000..d25c7a97ce77cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distillbert_distilled_ag_news_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distillbert_distilled_ag_news BertForSequenceClassification from odunola
+author: John Snow Labs
+name: distillbert_distilled_ag_news
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_distilled_ag_news` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_distilled_ag_news_en_5.5.0_3.0_1727264201881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_distilled_ag_news_en_5.5.0_3.0_1727264201881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_distilled_ag_news|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|65.8 MB|
+
+## References
+
+https://huggingface.co/odunola/distillbert-distilled-ag-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distillbert_distilled_ag_news_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-distillbert_distilled_ag_news_pipeline_en.md
new file mode 100644
index 00000000000000..0dbdd8a357bf1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distillbert_distilled_ag_news_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distillbert_distilled_ag_news_pipeline pipeline BertForSequenceClassification from odunola
+author: John Snow Labs
+name: distillbert_distilled_ag_news_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_distilled_ag_news_pipeline` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_distilled_ag_news_pipeline_en_5.5.0_3.0_1727264205159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_distilled_ag_news_pipeline_en_5.5.0_3.0_1727264205159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillbert_distilled_ag_news_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillbert_distilled_ag_news_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_distilled_ag_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|65.8 MB|
+
+## References
+
+https://huggingface.co/odunola/distillbert-distilled-ag-news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-e5_large_mnli_en.md b/docs/_posts/ahmedlone127/2024-09-25-e5_large_mnli_en.md
new file mode 100644
index 00000000000000..4ba192ba479c33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-e5_large_mnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English e5_large_mnli BertForZeroShotClassification from mjwong
+author: John Snow Labs
+name: e5_large_mnli
+date: 2024-09-25
+tags: [en, open_source, onnx, zero_shot, bert]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_large_mnli` is a English model originally trained by mjwong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_large_mnli_en_5.5.0_3.0_1727222972046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_large_mnli_en_5.5.0_3.0_1727222972046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_large_mnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/mjwong/e5-large-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-e5_large_mnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-e5_large_mnli_pipeline_en.md
new file mode 100644
index 00000000000000..f6596e63e770dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-e5_large_mnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English e5_large_mnli_pipeline pipeline BertForZeroShotClassification from mjwong
+author: John Snow Labs
+name: e5_large_mnli_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_large_mnli_pipeline` is a English model originally trained by mjwong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_large_mnli_pipeline_en_5.5.0_3.0_1727223033526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_large_mnli_pipeline_en_5.5.0_3.0_1727223033526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("e5_large_mnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("e5_large_mnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_large_mnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/mjwong/e5-large-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-english_astitchtask1a_bertbasecased_falsetrue_0_3_best_en.md b/docs/_posts/ahmedlone127/2024-09-25-english_astitchtask1a_bertbasecased_falsetrue_0_3_best_en.md
new file mode 100644
index 00000000000000..15db0a3b61b507
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-english_astitchtask1a_bertbasecased_falsetrue_0_3_best_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_astitchtask1a_bertbasecased_falsetrue_0_3_best BertForSequenceClassification from harish
+author: John Snow Labs
+name: english_astitchtask1a_bertbasecased_falsetrue_0_3_best
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_astitchtask1a_bertbasecased_falsetrue_0_3_best` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_falsetrue_0_3_best_en_5.5.0_3.0_1727277609277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_falsetrue_0_3_best_en_5.5.0_3.0_1727277609277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_astitchtask1a_bertbasecased_falsetrue_0_3_best|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/harish/EN-AStitchTask1A-BERTBaseCased-FalseTrue-0-3-BEST
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-english_base_en.md b/docs/_posts/ahmedlone127/2024-09-25-english_base_en.md
new file mode 100644
index 00000000000000..c70489d6a1f7d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-english_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_base BertForTokenClassification from mudes
+author: John Snow Labs
+name: english_base
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_base` is a English model originally trained by mudes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_base_en_5.5.0_3.0_1727270402283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_base_en_5.5.0_3.0_1727270402283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mudes/en-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-estbert128_rubric_et.md b/docs/_posts/ahmedlone127/2024-09-25-estbert128_rubric_et.md
new file mode 100644
index 00000000000000..8db925642367d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-estbert128_rubric_et.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Estonian estbert128_rubric BertForSequenceClassification from tartuNLP
+author: John Snow Labs
+name: estbert128_rubric
+date: 2024-09-25
+tags: [et, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: et
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`estbert128_rubric` is a Estonian model originally trained by tartuNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/estbert128_rubric_et_5.5.0_3.0_1727272904136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/estbert128_rubric_et_5.5.0_3.0_1727272904136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|estbert128_rubric|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|et|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/tartuNLP/EstBERT128_Rubric
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-estbert128_rubric_pipeline_et.md b/docs/_posts/ahmedlone127/2024-09-25-estbert128_rubric_pipeline_et.md
new file mode 100644
index 00000000000000..40eb842769e69c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-estbert128_rubric_pipeline_et.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Estonian estbert128_rubric_pipeline pipeline BertForSequenceClassification from tartuNLP
+author: John Snow Labs
+name: estbert128_rubric_pipeline
+date: 2024-09-25
+tags: [et, open_source, pipeline, onnx]
+task: Text Classification
+language: et
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`estbert128_rubric_pipeline` is a Estonian model originally trained by tartuNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/estbert128_rubric_pipeline_et_5.5.0_3.0_1727272932764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/estbert128_rubric_pipeline_et_5.5.0_3.0_1727272932764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("estbert128_rubric_pipeline", lang = "et")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("estbert128_rubric_pipeline", lang = "et")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|estbert128_rubric_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|et|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/tartuNLP/EstBERT128_Rubric
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-fake_news_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-25-fake_news_classifier_en.md
new file mode 100644
index 00000000000000..6784665c6dd8ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-fake_news_classifier_en.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: English fake_news_classifier RoBertaForSequenceClassification from T0asty
+author: John Snow Labs
+name: fake_news_classifier
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_classifier` is a English model originally trained by T0asty.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_classifier_en_5.5.0_3.0_1727242442851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_classifier_en_5.5.0_3.0_1727242442851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_base_cased_denyol|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-fakenews_bert_base_cased_denyol_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-fakenews_bert_base_cased_denyol_pipeline_en.md
new file mode 100644
index 00000000000000..c1b9705f1136e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-fakenews_bert_base_cased_denyol_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fakenews_bert_base_cased_denyol_pipeline pipeline BertForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_bert_base_cased_denyol_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenews_bert_base_cased_denyol_pipeline` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_denyol_pipeline_en_5.5.0_3.0_1727276657063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_denyol_pipeline_en_5.5.0_3.0_1727276657063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fakenews_bert_base_cased_denyol_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fakenews_bert_base_cased_denyol_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_base_cased_denyol_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-bert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_jacquesle_en.md b/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_jacquesle_en.md
new file mode 100644
index 00000000000000..2b707721043224
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_jacquesle_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English favs_filtersort_multilabel_classification_bert_base_cased_jacquesle BertForSequenceClassification from jacquesle
+author: John Snow Labs
+name: favs_filtersort_multilabel_classification_bert_base_cased_jacquesle
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`favs_filtersort_multilabel_classification_bert_base_cased_jacquesle` is a English model originally trained by jacquesle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/favs_filtersort_multilabel_classification_bert_base_cased_jacquesle_en_5.5.0_3.0_1727276870556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/favs_filtersort_multilabel_classification_bert_base_cased_jacquesle_en_5.5.0_3.0_1727276870556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|favs_filtersort_multilabel_classification_bert_base_cased_jacquesle|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jacquesle/favs-filtersort-multilabel-classification-bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_en.md b/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_en.md
new file mode 100644
index 00000000000000..e4b5eec690125f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407 BertForSequenceClassification from nguyenkhoa2407
+author: John Snow Labs
+name: favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407` is a English model originally trained by nguyenkhoa2407.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_en_5.5.0_3.0_1727277882852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_en_5.5.0_3.0_1727277882852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nguyenkhoa2407/favs-filtersort-multilabel-classification-bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline_en.md
new file mode 100644
index 00000000000000..b6a3be0b046c95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline pipeline BertForSequenceClassification from nguyenkhoa2407
+author: John Snow Labs
+name: favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline` is a English model originally trained by nguyenkhoa2407.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline_en_5.5.0_3.0_1727277904230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline_en_5.5.0_3.0_1727277904230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|favs_filtersort_multilabel_classification_bert_base_cased_nguyenkhoa2407_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nguyenkhoa2407/favs-filtersort-multilabel-classification-bert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finbert_tuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-finbert_tuned_en.md
new file mode 100644
index 00000000000000..8b0a6f6e5af445
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finbert_tuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finbert_tuned BertForSequenceClassification from manvik28
+author: John Snow Labs
+name: finbert_tuned
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_tuned` is a English model originally trained by manvik28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_tuned_en_5.5.0_3.0_1727285196421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_tuned_en_5.5.0_3.0_1727285196421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/manvik28/FinBERT_Tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_bert_czech_wikann_en.md b/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_bert_czech_wikann_en.md
new file mode 100644
index 00000000000000..5caf9ab545e613
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_bert_czech_wikann_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_bert_czech_wikann BertForTokenClassification from stulcrad
+author: John Snow Labs
+name: fine_tuned_bert_czech_wikann
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bert_czech_wikann` is a English model originally trained by stulcrad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_czech_wikann_en_5.5.0_3.0_1727275485253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_czech_wikann_en_5.5.0_3.0_1727275485253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bert_czech_wikann|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/stulcrad/fine_tuned_BERT_cs_wikann
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_on_shemo_transcripts_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_on_shemo_transcripts_en.md
new file mode 100644
index 00000000000000..797d3919c82c97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_on_shemo_transcripts_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_bert_base_on_shemo_transcripts BertForSequenceClassification from minoosh
+author: John Snow Labs
+name: finetuned_bert_base_on_shemo_transcripts
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_base_on_shemo_transcripts` is a English model originally trained by minoosh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_shemo_transcripts_en_5.5.0_3.0_1727263641848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_shemo_transcripts_en_5.5.0_3.0_1727263641848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_on_shemo_transcripts|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/minoosh/finetuned_bert-base_on_shEMO_transcripts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_uncased_olivernyu_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_uncased_olivernyu_en.md
new file mode 100644
index 00000000000000..b5674e748644e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_uncased_olivernyu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_bert_base_uncased_olivernyu BertForSequenceClassification from Olivernyu
+author: John Snow Labs
+name: finetuned_bert_base_uncased_olivernyu
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_base_uncased_olivernyu` is a English model originally trained by Olivernyu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_uncased_olivernyu_en_5.5.0_3.0_1727263622137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_uncased_olivernyu_en_5.5.0_3.0_1727263622137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_uncased_olivernyu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Olivernyu/finetuned_bert_base_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuning_classification_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuning_classification_model_3000_samples_en.md
new file mode 100644
index 00000000000000..d47bd1c26b6d0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuning_classification_model_3000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_classification_model_3000_samples BertForSequenceClassification from GMW123
+author: John Snow Labs
+name: finetuning_classification_model_3000_samples
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_classification_model_3000_samples` is a English model originally trained by GMW123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_classification_model_3000_samples_en_5.5.0_3.0_1727254007618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_classification_model_3000_samples_en_5.5.0_3.0_1727254007618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_classification_model_3000_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|84.8 MB|
+
+## References
+
+https://huggingface.co/GMW123/finetuning-classification-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuning_classification_model_3000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuning_classification_model_3000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..0d33b112fe55d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuning_classification_model_3000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_classification_model_3000_samples_pipeline pipeline BertForSequenceClassification from GMW123
+author: John Snow Labs
+name: finetuning_classification_model_3000_samples_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_classification_model_3000_samples_pipeline` is a English model originally trained by GMW123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_classification_model_3000_samples_pipeline_en_5.5.0_3.0_1727254011991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_classification_model_3000_samples_pipeline_en_5.5.0_3.0_1727254011991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_classification_model_3000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_classification_model_3000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_classification_model_3000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|84.8 MB|
+
+## References
+
+https://huggingface.co/GMW123/finetuning-classification-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuning_sentiment_analysis_bert2epoch_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuning_sentiment_analysis_bert2epoch_en.md
new file mode 100644
index 00000000000000..e65d2a1d97aaa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuning_sentiment_analysis_bert2epoch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_analysis_bert2epoch BertForSequenceClassification from aruca
+author: John Snow Labs
+name: finetuning_sentiment_analysis_bert2epoch
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_analysis_bert2epoch` is a English model originally trained by aruca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_bert2epoch_en_5.5.0_3.0_1727266348143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_bert2epoch_en_5.5.0_3.0_1727266348143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_analysis_bert2epoch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/aruca/finetuning-sentiment-analysis-bert2epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuning_sentiment_analysis_bert2epoch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuning_sentiment_analysis_bert2epoch_pipeline_en.md
new file mode 100644
index 00000000000000..31d0d4e7ab1e5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuning_sentiment_analysis_bert2epoch_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_analysis_bert2epoch_pipeline pipeline BertForSequenceClassification from aruca
+author: John Snow Labs
+name: finetuning_sentiment_analysis_bert2epoch_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_analysis_bert2epoch_pipeline` is a English model originally trained by aruca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_bert2epoch_pipeline_en_5.5.0_3.0_1727266370972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_bert2epoch_pipeline_en_5.5.0_3.0_1727266370972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_analysis_bert2epoch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_analysis_bert2epoch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_analysis_bert2epoch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/aruca/finetuning-sentiment-analysis-bert2epoch
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-gbert_germeval_2021_de.md b/docs/_posts/ahmedlone127/2024-09-25-gbert_germeval_2021_de.md
new file mode 100644
index 00000000000000..866409e61b6aa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-gbert_germeval_2021_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German gbert_germeval_2021 BertForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: gbert_germeval_2021
+date: 2024-09-25
+tags: [de, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gbert_germeval_2021` is a German model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gbert_germeval_2021_de_5.5.0_3.0_1727286926871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gbert_germeval_2021_de_5.5.0_3.0_1727286926871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gbert_germeval_2021|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/shahrukhx01/gbert-germeval-2021
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-gbert_germeval_2021_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-25-gbert_germeval_2021_pipeline_de.md
new file mode 100644
index 00000000000000..c7b90831c5807d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-gbert_germeval_2021_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German gbert_germeval_2021_pipeline pipeline BertForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: gbert_germeval_2021_pipeline
+date: 2024-09-25
+tags: [de, open_source, pipeline, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gbert_germeval_2021_pipeline` is a German model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gbert_germeval_2021_pipeline_de_5.5.0_3.0_1727286947949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gbert_germeval_2021_pipeline_de_5.5.0_3.0_1727286947949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gbert_germeval_2021_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gbert_germeval_2021_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gbert_germeval_2021_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/shahrukhx01/gbert-germeval-2021
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-genome_finder_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-genome_finder_pipeline_en.md
new file mode 100644
index 00000000000000..165761ed5c5a43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-genome_finder_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English genome_finder_pipeline pipeline BertForSequenceClassification from rdhinaz
+author: John Snow Labs
+name: genome_finder_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genome_finder_pipeline` is a English model originally trained by rdhinaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genome_finder_pipeline_en_5.5.0_3.0_1727273166754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genome_finder_pipeline_en_5.5.0_3.0_1727273166754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("genome_finder_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("genome_finder_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|genome_finder_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rdhinaz/genome-finder
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-geotrend_10_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-geotrend_10_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..73027b44b68277
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-geotrend_10_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English geotrend_10_epochs_pipeline pipeline BertForTokenClassification from Azizun
+author: John Snow Labs
+name: geotrend_10_epochs_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`geotrend_10_epochs_pipeline` is a English model originally trained by Azizun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/geotrend_10_epochs_pipeline_en_5.5.0_3.0_1727281877953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/geotrend_10_epochs_pipeline_en_5.5.0_3.0_1727281877953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("geotrend_10_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("geotrend_10_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|geotrend_10_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|344.9 MB|
+
+## References
+
+https://huggingface.co/Azizun/Geotrend-10-epochs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hate_ita_it.md b/docs/_posts/ahmedlone127/2024-09-25-hate_ita_it.md
new file mode 100644
index 00000000000000..530bcf3108b171
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hate_ita_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian hate_ita XlmRoBertaForSequenceClassification from MilaNLProc
+author: John Snow Labs
+name: hate_ita
+date: 2024-09-25
+tags: [it, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_ita` is a Italian model originally trained by MilaNLProc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_ita_it_5.5.0_3.0_1727229657021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_ita_it_5.5.0_3.0_1727229657021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_ita|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/MilaNLProc/hate-ita
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hate_ita_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-25-hate_ita_pipeline_it.md
new file mode 100644
index 00000000000000..810578872a99ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hate_ita_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian hate_ita_pipeline pipeline XlmRoBertaForSequenceClassification from MilaNLProc
+author: John Snow Labs
+name: hate_ita_pipeline
+date: 2024-09-25
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_ita_pipeline` is a Italian model originally trained by MilaNLProc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_ita_pipeline_it_5.5.0_3.0_1727229711840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_ita_pipeline_it_5.5.0_3.0_1727229711840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_ita_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_ita_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_ita_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/MilaNLProc/hate-ita
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hate_speech_slo_sl.md b/docs/_posts/ahmedlone127/2024-09-25-hate_speech_slo_sl.md
new file mode 100644
index 00000000000000..f0c299a0500413
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hate_speech_slo_sl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Slovenian hate_speech_slo BertForSequenceClassification from IMSyPP
+author: John Snow Labs
+name: hate_speech_slo
+date: 2024-09-25
+tags: [sl, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: sl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_slo` is a Slovenian model originally trained by IMSyPP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_slo_sl_5.5.0_3.0_1727245720551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_slo_sl_5.5.0_3.0_1727245720551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_slo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|sl|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/IMSyPP/hate_speech_slo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hatexplain_ds_labeled_001_en.md b/docs/_posts/ahmedlone127/2024-09-25-hatexplain_ds_labeled_001_en.md
new file mode 100644
index 00000000000000..ea03fcbaf50e57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hatexplain_ds_labeled_001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hatexplain_ds_labeled_001 BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: hatexplain_ds_labeled_001
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatexplain_ds_labeled_001` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatexplain_ds_labeled_001_en_5.5.0_3.0_1727267777367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatexplain_ds_labeled_001_en_5.5.0_3.0_1727267777367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hatexplain_ds_labeled_001|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/HateXplain-DS-labeled-001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hatexplain_weighted_majority_labeled_en.md b/docs/_posts/ahmedlone127/2024-09-25-hatexplain_weighted_majority_labeled_en.md
new file mode 100644
index 00000000000000..c974f958958af5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hatexplain_weighted_majority_labeled_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hatexplain_weighted_majority_labeled BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: hatexplain_weighted_majority_labeled
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatexplain_weighted_majority_labeled` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatexplain_weighted_majority_labeled_en_5.5.0_3.0_1727268331231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatexplain_weighted_majority_labeled_en_5.5.0_3.0_1727268331231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hatexplain_weighted_majority_labeled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/HateXplain-weighted-majority-labeled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hindi_topic_all_doc_hi.md b/docs/_posts/ahmedlone127/2024-09-25-hindi_topic_all_doc_hi.md
new file mode 100644
index 00000000000000..1552c41fda6e5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hindi_topic_all_doc_hi.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Hindi hindi_topic_all_doc BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: hindi_topic_all_doc
+date: 2024-09-25
+tags: [hi, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hindi_topic_all_doc` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_topic_all_doc_hi_5.5.0_3.0_1727238129237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_topic_all_doc_hi_5.5.0_3.0_1727238129237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_topic_all_doc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|hi|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-topic-all-doc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hindi_topic_all_doc_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-25-hindi_topic_all_doc_pipeline_hi.md
new file mode 100644
index 00000000000000..bc924212b5bea6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hindi_topic_all_doc_pipeline_hi.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Hindi hindi_topic_all_doc_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: hindi_topic_all_doc_pipeline
+date: 2024-09-25
+tags: [hi, open_source, pipeline, onnx]
+task: Text Classification
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hindi_topic_all_doc_pipeline` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_topic_all_doc_pipeline_hi_5.5.0_3.0_1727238174674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_topic_all_doc_pipeline_hi_5.5.0_3.0_1727238174674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hindi_topic_all_doc_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hindi_topic_all_doc_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_topic_all_doc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-topic-all-doc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ic_en.md b/docs/_posts/ahmedlone127/2024-09-25-ic_en.md
new file mode 100644
index 00000000000000..d6ac54880b0b54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ic BertForSequenceClassification from JohnDoe70
+author: John Snow Labs
+name: ic
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ic` is a English model originally trained by JohnDoe70.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ic_en_5.5.0_3.0_1727261919875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ic_en_5.5.0_3.0_1727261919875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/JohnDoe70/ic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ic_pipeline_en.md
new file mode 100644
index 00000000000000..e78905fdff9c9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ic_pipeline pipeline BertForSequenceClassification from JohnDoe70
+author: John Snow Labs
+name: ic_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ic_pipeline` is a English model originally trained by JohnDoe70.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ic_pipeline_en_5.5.0_3.0_1727261941152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ic_pipeline_en_5.5.0_3.0_1727261941152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/JohnDoe70/ic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ideology_facebookai_xlm_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-25-ideology_facebookai_xlm_roberta_large_en.md
new file mode 100644
index 00000000000000..3cd10d2cb4e893
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ideology_facebookai_xlm_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ideology_facebookai_xlm_roberta_large RoBertaForSequenceClassification from juan-glez29
+author: John Snow Labs
+name: ideology_facebookai_xlm_roberta_large
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ideology_facebookai_xlm_roberta_large` is a English model originally trained by juan-glez29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ideology_facebookai_xlm_roberta_large_en_5.5.0_3.0_1727233724111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ideology_facebookai_xlm_roberta_large_en_5.5.0_3.0_1727233724111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|incel_alberto|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|688.7 MB|
+
+## References
+
+https://huggingface.co/pgajo/incel-alberto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-incel_alberto_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-incel_alberto_pipeline_en.md
new file mode 100644
index 00000000000000..264d3bab2b5c58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-incel_alberto_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English incel_alberto_pipeline pipeline BertEmbeddings from pgajo
+author: John Snow Labs
+name: incel_alberto_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`incel_alberto_pipeline` is a English model originally trained by pgajo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/incel_alberto_pipeline_en_5.5.0_3.0_1727243364491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/incel_alberto_pipeline_en_5.5.0_3.0_1727243364491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("incel_alberto_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("incel_alberto_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|incel_alberto_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|688.8 MB|
+
+## References
+
+https://huggingface.co/pgajo/incel-alberto
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-jaberv2_en.md b/docs/_posts/ahmedlone127/2024-09-25-jaberv2_en.md
new file mode 100644
index 00000000000000..a39fe61380e58f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-jaberv2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English jaberv2 BertEmbeddings from huawei-noah
+author: John Snow Labs
+name: jaberv2
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jaberv2` is a English model originally trained by huawei-noah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jaberv2_en_5.5.0_3.0_1727258162659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jaberv2_en_5.5.0_3.0_1727258162659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jaberv2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|504.8 MB|
+
+## References
+
+https://huggingface.co/huawei-noah/JABERv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-jaberv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-jaberv2_pipeline_en.md
new file mode 100644
index 00000000000000..17b38f85b42a68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-jaberv2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English jaberv2_pipeline pipeline BertEmbeddings from huawei-noah
+author: John Snow Labs
+name: jaberv2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jaberv2_pipeline` is a English model originally trained by huawei-noah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jaberv2_pipeline_en_5.5.0_3.0_1727258189766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jaberv2_pipeline_en_5.5.0_3.0_1727258189766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("jaberv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("jaberv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jaberv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/huawei-noah/JABERv2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-khadija_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-khadija_ner_pipeline_en.md
new file mode 100644
index 00000000000000..1b8ad571628d8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-khadija_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English khadija_ner_pipeline pipeline BertForTokenClassification from didazz
+author: John Snow Labs
+name: khadija_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khadija_ner_pipeline` is a English model originally trained by didazz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khadija_ner_pipeline_en_5.5.0_3.0_1727283171556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khadija_ner_pipeline_en_5.5.0_3.0_1727283171556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("khadija_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("khadija_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khadija_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/didazz/khadija_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-kid_whisper_medium_english_myst_cslu_en.md b/docs/_posts/ahmedlone127/2024-09-25-kid_whisper_medium_english_myst_cslu_en.md
new file mode 100644
index 00000000000000..057c4bd2512430
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-kid_whisper_medium_english_myst_cslu_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English kid_whisper_medium_english_myst_cslu WhisperForCTC from aadel4
+author: John Snow Labs
+name: kid_whisper_medium_english_myst_cslu
+date: 2024-09-25
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kid_whisper_medium_english_myst_cslu` is a English model originally trained by aadel4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kid_whisper_medium_english_myst_cslu_en_5.5.0_3.0_1727227825039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kid_whisper_medium_english_myst_cslu_en_5.5.0_3.0_1727227825039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kid_whisper_medium_english_myst_cslu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/aadel4/kid-whisper-medium-en-myst_cslu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-klue_bert_base_senti_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-25-klue_bert_base_senti_pipeline_ko.md
new file mode 100644
index 00000000000000..48e4e569db8f3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-klue_bert_base_senti_pipeline_ko.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Korean klue_bert_base_senti_pipeline pipeline BertForSequenceClassification from dudududukim
+author: John Snow Labs
+name: klue_bert_base_senti_pipeline
+date: 2024-09-25
+tags: [ko, open_source, pipeline, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`klue_bert_base_senti_pipeline` is a Korean model originally trained by dudududukim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/klue_bert_base_senti_pipeline_ko_5.5.0_3.0_1727242428540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/klue_bert_base_senti_pipeline_ko_5.5.0_3.0_1727242428540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("klue_bert_base_senti_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("klue_bert_base_senti_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|klue_bert_base_senti_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/dudududukim/klue-bert-base-senti
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-kor_naver_ner_name_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-kor_naver_ner_name_pipeline_en.md
new file mode 100644
index 00000000000000..7508143860f69a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-kor_naver_ner_name_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kor_naver_ner_name_pipeline pipeline BertForTokenClassification from joon09
+author: John Snow Labs
+name: kor_naver_ner_name_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kor_naver_ner_name_pipeline` is a English model originally trained by joon09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_pipeline_en_5.5.0_3.0_1727262973966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_pipeline_en_5.5.0_3.0_1727262973966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kor_naver_ner_name_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kor_naver_ner_name_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kor_naver_ner_name_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.2 MB|
+
+## References
+
+https://huggingface.co/joon09/kor-naver-ner-name
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-korean_albert_base_v1_ko.md b/docs/_posts/ahmedlone127/2024-09-25-korean_albert_base_v1_ko.md
new file mode 100644
index 00000000000000..d149178124721b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-korean_albert_base_v1_ko.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Korean korean_albert_base_v1 BertEmbeddings from lots-o
+author: John Snow Labs
+name: korean_albert_base_v1
+date: 2024-09-25
+tags: [ko, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`korean_albert_base_v1` is a Korean model originally trained by lots-o.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_albert_base_v1_ko_5.5.0_3.0_1727236721501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_albert_base_v1_ko_5.5.0_3.0_1727236721501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|korean_albert_base_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|ko|
+|Size:|47.7 MB|
+
+## References
+
+https://huggingface.co/lots-o/ko-albert-base-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-korean_albert_base_v1_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-25-korean_albert_base_v1_pipeline_ko.md
new file mode 100644
index 00000000000000..02006a79b196ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-korean_albert_base_v1_pipeline_ko.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Korean korean_albert_base_v1_pipeline pipeline BertEmbeddings from lots-o
+author: John Snow Labs
+name: korean_albert_base_v1_pipeline
+date: 2024-09-25
+tags: [ko, open_source, pipeline, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`korean_albert_base_v1_pipeline` is a Korean model originally trained by lots-o.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_albert_base_v1_pipeline_ko_5.5.0_3.0_1727236724245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_albert_base_v1_pipeline_ko_5.5.0_3.0_1727236724245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("korean_albert_base_v1_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("korean_albert_base_v1_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|korean_albert_base_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|47.8 MB|
+
+## References
+
+https://huggingface.co/lots-o/ko-albert-base-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-korean_disease_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-korean_disease_ner_en.md
new file mode 100644
index 00000000000000..56df4728f29277
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-korean_disease_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English korean_disease_ner BertForTokenClassification from keonju
+author: John Snow Labs
+name: korean_disease_ner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`korean_disease_ner` is a English model originally trained by keonju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_disease_ner_en_5.5.0_3.0_1727283023258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_disease_ner_en_5.5.0_3.0_1727283023258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kyrgyz_language_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|ky|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/murat/kyrgyz_language_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-kyrgyz_language_ner_pipeline_ky.md b/docs/_posts/ahmedlone127/2024-09-25-kyrgyz_language_ner_pipeline_ky.md
new file mode 100644
index 00000000000000..a05b622e466037
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-kyrgyz_language_ner_pipeline_ky.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Kirghiz, Kyrgyz kyrgyz_language_ner_pipeline pipeline BertForTokenClassification from murat
+author: John Snow Labs
+name: kyrgyz_language_ner_pipeline
+date: 2024-09-25
+tags: [ky, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: ky
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kyrgyz_language_ner_pipeline` is a Kirghiz, Kyrgyz model originally trained by murat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kyrgyz_language_ner_pipeline_ky_5.5.0_3.0_1727249950446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kyrgyz_language_ner_pipeline_ky_5.5.0_3.0_1727249950446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kyrgyz_language_ner_pipeline", lang = "ky")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kyrgyz_language_ner_pipeline", lang = "ky")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kyrgyz_language_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ky|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/murat/kyrgyz_language_NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-labse_malach_multilabel_en.md b/docs/_posts/ahmedlone127/2024-09-25-labse_malach_multilabel_en.md
new file mode 100644
index 00000000000000..7dbb6a675c7dbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-labse_malach_multilabel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English labse_malach_multilabel BertForSequenceClassification from ChrisBridges
+author: John Snow Labs
+name: labse_malach_multilabel
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`labse_malach_multilabel` is a English model originally trained by ChrisBridges.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/labse_malach_multilabel_en_5.5.0_3.0_1727240285805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/labse_malach_multilabel_en_5.5.0_3.0_1727240285805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|labse_malach_multilabel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/ChrisBridges/labse-malach-multilabel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-labse_malach_multilabel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-labse_malach_multilabel_pipeline_en.md
new file mode 100644
index 00000000000000..e02218ccab4d2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-labse_malach_multilabel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English labse_malach_multilabel_pipeline pipeline BertForSequenceClassification from ChrisBridges
+author: John Snow Labs
+name: labse_malach_multilabel_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`labse_malach_multilabel_pipeline` is a English model originally trained by ChrisBridges.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/labse_malach_multilabel_pipeline_en_5.5.0_3.0_1727240370019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/labse_malach_multilabel_pipeline_en_5.5.0_3.0_1727240370019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("labse_malach_multilabel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("labse_malach_multilabel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|labse_malach_multilabel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/ChrisBridges/labse-malach-multilabel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-legal_bert_samoan_gen1_large_summarized_chuvash_4_en.md b/docs/_posts/ahmedlone127/2024-09-25-legal_bert_samoan_gen1_large_summarized_chuvash_4_en.md
new file mode 100644
index 00000000000000..0bded634167878
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-legal_bert_samoan_gen1_large_summarized_chuvash_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English legal_bert_samoan_gen1_large_summarized_chuvash_4 BertForSequenceClassification from wiorz
+author: John Snow Labs
+name: legal_bert_samoan_gen1_large_summarized_chuvash_4
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_bert_samoan_gen1_large_summarized_chuvash_4` is a English model originally trained by wiorz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_bert_samoan_gen1_large_summarized_chuvash_4_en_5.5.0_3.0_1727288632555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_bert_samoan_gen1_large_summarized_chuvash_4_en_5.5.0_3.0_1727288632555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_val_f|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/simran14/mr-val-f
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-marathi_marh_val_f_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-25-marathi_marh_val_f_pipeline_mr.md
new file mode 100644
index 00000000000000..e8e091c0baa0b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-marathi_marh_val_f_pipeline_mr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Marathi marathi_marh_val_f_pipeline pipeline WhisperForCTC from simran14
+author: John Snow Labs
+name: marathi_marh_val_f_pipeline
+date: 2024-09-25
+tags: [mr, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_marh_val_f_pipeline` is a Marathi model originally trained by simran14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_marh_val_f_pipeline_mr_5.5.0_3.0_1727226147970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_marh_val_f_pipeline_mr_5.5.0_3.0_1727226147970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_marh_val_f_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_marh_val_f_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_val_f_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/simran14/mr-val-f
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-marbertv2_flat_seed_42_en.md b/docs/_posts/ahmedlone127/2024-09-25-marbertv2_flat_seed_42_en.md
new file mode 100644
index 00000000000000..ccb777a558da41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-marbertv2_flat_seed_42_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marbertv2_flat_seed_42 BertForTokenClassification from ahmedoumar
+author: John Snow Labs
+name: marbertv2_flat_seed_42
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marbertv2_flat_seed_42` is a English model originally trained by ahmedoumar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marbertv2_flat_seed_42_en_5.5.0_3.0_1727275573150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marbertv2_flat_seed_42_en_5.5.0_3.0_1727275573150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marbertv2_flat_seed_42|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|606.7 MB|
+
+## References
+
+https://huggingface.co/ahmedoumar/MARBERTv2_FLAT_SEED_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-marbertv2_flat_seed_42_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-marbertv2_flat_seed_42_pipeline_en.md
new file mode 100644
index 00000000000000..644d1bc0f640aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-marbertv2_flat_seed_42_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marbertv2_flat_seed_42_pipeline pipeline BertForTokenClassification from ahmedoumar
+author: John Snow Labs
+name: marbertv2_flat_seed_42_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marbertv2_flat_seed_42_pipeline` is a English model originally trained by ahmedoumar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marbertv2_flat_seed_42_pipeline_en_5.5.0_3.0_1727275605543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marbertv2_flat_seed_42_pipeline_en_5.5.0_3.0_1727275605543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marbertv2_flat_seed_42_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marbertv2_flat_seed_42_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marbertv2_flat_seed_42_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|606.7 MB|
+
+## References
+
+https://huggingface.co/ahmedoumar/MARBERTv2_FLAT_SEED_42
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-matscibert_cner_en.md b/docs/_posts/ahmedlone127/2024-09-25-matscibert_cner_en.md
new file mode 100644
index 00000000000000..2f91f8d26d5f29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-matscibert_cner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English matscibert_cner BertForTokenClassification from nlp-magnets
+author: John Snow Labs
+name: matscibert_cner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`matscibert_cner` is a English model originally trained by nlp-magnets.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/matscibert_cner_en_5.5.0_3.0_1727275895658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/matscibert_cner_en_5.5.0_3.0_1727275895658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|matscibert_cner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/nlp-magnets/matscibert-cner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-matscibert_cner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-matscibert_cner_pipeline_en.md
new file mode 100644
index 00000000000000..273c9202218ec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-matscibert_cner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English matscibert_cner_pipeline pipeline BertForTokenClassification from nlp-magnets
+author: John Snow Labs
+name: matscibert_cner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`matscibert_cner_pipeline` is a English model originally trained by nlp-magnets.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/matscibert_cner_pipeline_en_5.5.0_3.0_1727275917628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/matscibert_cner_pipeline_en_5.5.0_3.0_1727275917628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("matscibert_cner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("matscibert_cner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|matscibert_cner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/nlp-magnets/matscibert-cner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mbert_finetuned_sdgs_en.md b/docs/_posts/ahmedlone127/2024-09-25-mbert_finetuned_sdgs_en.md
new file mode 100644
index 00000000000000..ddfd03f84fb913
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mbert_finetuned_sdgs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mbert_finetuned_sdgs BertForSequenceClassification from aadhistii
+author: John Snow Labs
+name: mbert_finetuned_sdgs
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_finetuned_sdgs` is a English model originally trained by aadhistii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_finetuned_sdgs_en_5.5.0_3.0_1727277659365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_finetuned_sdgs_en_5.5.0_3.0_1727277659365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_finetuned_sdgs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/aadhistii/mbert-finetuned-sdgs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-memo_bert_wsd_01_en.md b/docs/_posts/ahmedlone127/2024-09-25-memo_bert_wsd_01_en.md
new file mode 100644
index 00000000000000..b5897ec74530f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-memo_bert_wsd_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English memo_bert_wsd_01 BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: memo_bert_wsd_01
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`memo_bert_wsd_01` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_01_en_5.5.0_3.0_1727285931602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_01_en_5.5.0_3.0_1727285931602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|memo_bert_wsd_01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/yemen2016/MeMo_BERT-WSD-01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mitre_bert_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-mitre_bert_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..ff0521e83a94ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mitre_bert_base_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mitre_bert_base_cased_pipeline pipeline BertForSequenceClassification from bencyc1129
+author: John Snow Labs
+name: mitre_bert_base_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mitre_bert_base_cased_pipeline` is a English model originally trained by bencyc1129.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mitre_bert_base_cased_pipeline_en_5.5.0_3.0_1727266950234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mitre_bert_base_cased_pipeline_en_5.5.0_3.0_1727266950234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mitre_bert_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mitre_bert_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mitre_bert_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/bencyc1129/mitre-bert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mobilebert_sanskrit_saskta_pre_training_complete_en.md b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_sanskrit_saskta_pre_training_complete_en.md
new file mode 100644
index 00000000000000..270462cd6b8caf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_sanskrit_saskta_pre_training_complete_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mobilebert_sanskrit_saskta_pre_training_complete BertEmbeddings from gokuls
+author: John Snow Labs
+name: mobilebert_sanskrit_saskta_pre_training_complete
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mobilebert_sanskrit_saskta_pre_training_complete` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_sanskrit_saskta_pre_training_complete_en_5.5.0_3.0_1727241248026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_sanskrit_saskta_pre_training_complete_en_5.5.0_3.0_1727241248026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_sanskrit_saskta_pre_training_complete|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/gokuls/mobilebert_sa_pre-training-complete
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en.md
new file mode 100644
index 00000000000000..4a8b8a87ceba3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mobilebert_sanskrit_saskta_pre_training_complete_pipeline pipeline BertEmbeddings from gokuls
+author: John Snow Labs
+name: mobilebert_sanskrit_saskta_pre_training_complete_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mobilebert_sanskrit_saskta_pre_training_complete_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en_5.5.0_3.0_1727241252743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_sanskrit_saskta_pre_training_complete_pipeline_en_5.5.0_3.0_1727241252743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mobilebert_sanskrit_saskta_pre_training_complete_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mobilebert_sanskrit_saskta_pre_training_complete_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_sanskrit_saskta_pre_training_complete_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/gokuls/mobilebert_sa_pre-training-complete
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mobilebert_stsb_en.md b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_stsb_en.md
new file mode 100644
index 00000000000000..74403cf3ff6ec4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_stsb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mobilebert_stsb BertForSequenceClassification from Alireza1044
+author: John Snow Labs
+name: mobilebert_stsb
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mobilebert_stsb` is a English model originally trained by Alireza1044.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_stsb_en_5.5.0_3.0_1727287378824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_stsb_en_5.5.0_3.0_1727287378824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_stsb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/Alireza1044/mobilebert_stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-modela_1_12_2023_en.md b/docs/_posts/ahmedlone127/2024-09-25-modela_1_12_2023_en.md
new file mode 100644
index 00000000000000..c8782ff8345c11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-modela_1_12_2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English modela_1_12_2023 BertForTokenClassification from MaryDatascientist
+author: John Snow Labs
+name: modela_1_12_2023
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modela_1_12_2023` is a English model originally trained by MaryDatascientist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modela_1_12_2023_en_5.5.0_3.0_1727264606089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modela_1_12_2023_en_5.5.0_3.0_1727264606089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modela_1_12_2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/MaryDatascientist/modelA_1_12_2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-modelo_racismo_9_april_24_en.md b/docs/_posts/ahmedlone127/2024-09-25-modelo_racismo_9_april_24_en.md
new file mode 100644
index 00000000000000..adc1bc99bf607e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-modelo_racismo_9_april_24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English modelo_racismo_9_april_24 BertForSequenceClassification from leofn3
+author: John Snow Labs
+name: modelo_racismo_9_april_24
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelo_racismo_9_april_24` is a English model originally trained by leofn3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelo_racismo_9_april_24_en_5.5.0_3.0_1727276484310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelo_racismo_9_april_24_en_5.5.0_3.0_1727276484310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelo_racismo_9_april_24|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/leofn3/modelo_racismo_9_april_24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-movie_genre_classifier_davooddkareshki_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-movie_genre_classifier_davooddkareshki_pipeline_en.md
new file mode 100644
index 00000000000000..543cdb77d93ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-movie_genre_classifier_davooddkareshki_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movie_genre_classifier_davooddkareshki_pipeline pipeline BertForSequenceClassification from davooddkareshki
+author: John Snow Labs
+name: movie_genre_classifier_davooddkareshki_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_genre_classifier_davooddkareshki_pipeline` is a English model originally trained by davooddkareshki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_davooddkareshki_pipeline_en_5.5.0_3.0_1727277484777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_davooddkareshki_pipeline_en_5.5.0_3.0_1727277484777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movie_genre_classifier_davooddkareshki_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movie_genre_classifier_davooddkareshki_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_classifier_davooddkareshki_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/davooddkareshki/Movie_Genre_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-multitaskdistilledmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-multitaskdistilledmodel_pipeline_en.md
new file mode 100644
index 00000000000000..f6ee94c889d611
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-multitaskdistilledmodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English multitaskdistilledmodel_pipeline pipeline BertForSequenceClassification from privacy-tech-lab
+author: John Snow Labs
+name: multitaskdistilledmodel_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multitaskdistilledmodel_pipeline` is a English model originally trained by privacy-tech-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multitaskdistilledmodel_pipeline_en_5.5.0_3.0_1727286271829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multitaskdistilledmodel_pipeline_en_5.5.0_3.0_1727286271829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multitaskdistilledmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multitaskdistilledmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multitaskdistilledmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/privacy-tech-lab/MultitaskDistilledModel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding20model_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding20model_en.md
new file mode 100644
index 00000000000000..b856b80e592ac3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding20model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_imdb_padding20model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding20model
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_bert_imdb_padding20model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding20model_en_5.5.0_3.0_1727267427419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding20model_en_5.5.0_3.0_1727267427419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding20model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_imdb_padding20model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding80model_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding80model_en.md
new file mode 100644
index 00000000000000..a19eb7f8a5f1bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding80model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_imdb_padding80model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding80model
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_bert_imdb_padding80model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding80model_en_5.5.0_3.0_1727278327518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding80model_en_5.5.0_3.0_1727278327518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding80model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_imdb_padding80model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding80model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding80model_pipeline_en.md
new file mode 100644
index 00000000000000..ee2b4479aa1eaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding80model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_imdb_padding80model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding80model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_bert_imdb_padding80model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding80model_pipeline_en_5.5.0_3.0_1727278348554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding80model_pipeline_en_5.5.0_3.0_1727278348554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_imdb_padding80model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_imdb_padding80model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding80model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_imdb_padding80model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_sst5_padding100model_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_sst5_padding100model_en.md
new file mode 100644
index 00000000000000..01c3011bf6a77c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_sst5_padding100model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_sst5_padding100model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_sst5_padding100model
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_bert_sst5_padding100model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding100model_en_5.5.0_3.0_1727278694323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding100model_en_5.5.0_3.0_1727278694323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_sst5_padding100model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_sst5_padding100model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding60model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding60model_pipeline_en.md
new file mode 100644
index 00000000000000..88cdf45a1b0aab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding60model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_twitterfin_padding60model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_twitterfin_padding60model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_bert_twitterfin_padding60model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_twitterfin_padding60model_pipeline_en_5.5.0_3.0_1727286190095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_twitterfin_padding60model_pipeline_en_5.5.0_3.0_1727286190095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_twitterfin_padding60model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_twitterfin_padding60model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_twitterfin_padding60model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_twitterfin_padding60model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding90model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding90model_pipeline_en.md
new file mode 100644
index 00000000000000..b27a287b77c8d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding90model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_twitterfin_padding90model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_twitterfin_padding90model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_bert_twitterfin_padding90model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_twitterfin_padding90model_pipeline_en_5.5.0_3.0_1727279592031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_twitterfin_padding90model_pipeline_en_5.5.0_3.0_1727279592031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_twitterfin_padding90model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_twitterfin_padding90model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_twitterfin_padding90model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_twitterfin_padding90model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-name_anonymization_tr.md b/docs/_posts/ahmedlone127/2024-09-25-name_anonymization_tr.md
new file mode 100644
index 00000000000000..78d78b901202d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-name_anonymization_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish name_anonymization BertForTokenClassification from deprem-ml
+author: John Snow Labs
+name: name_anonymization
+date: 2024-09-25
+tags: [tr, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`name_anonymization` is a Turkish model originally trained by deprem-ml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/name_anonymization_tr_5.5.0_3.0_1727284019137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/name_anonymization_tr_5.5.0_3.0_1727284019137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|name_anonymization|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|tr|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/deprem-ml/name_anonymization
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ner_bert_ingredients_en.md b/docs/_posts/ahmedlone127/2024-09-25-ner_bert_ingredients_en.md
new file mode 100644
index 00000000000000..5de06465fcc7ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ner_bert_ingredients_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_bert_ingredients BertForTokenClassification from Shresthadev403
+author: John Snow Labs
+name: ner_bert_ingredients
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_bert_ingredients` is a English model originally trained by Shresthadev403.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_bert_ingredients_en_5.5.0_3.0_1727260673154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_bert_ingredients_en_5.5.0_3.0_1727260673154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_bert_ingredients|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/Shresthadev403/ner-bert-ingredients
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ner_darijabert_arabizi_en.md b/docs/_posts/ahmedlone127/2024-09-25-ner_darijabert_arabizi_en.md
new file mode 100644
index 00000000000000..1ff21d48ed9022
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ner_darijabert_arabizi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_darijabert_arabizi BertForTokenClassification from Oelbourki
+author: John Snow Labs
+name: ner_darijabert_arabizi
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_darijabert_arabizi` is a English model originally trained by Oelbourki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_darijabert_arabizi_en_5.5.0_3.0_1727282192543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_darijabert_arabizi_en_5.5.0_3.0_1727282192543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_darijabert_arabizi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|634.9 MB|
+
+## References
+
+https://huggingface.co/Oelbourki/ner-DarijaBERT-arabizi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ner_harem_bert_base_portuguese_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-ner_harem_bert_base_portuguese_cased_en.md
new file mode 100644
index 00000000000000..9e4df60e54d0aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ner_harem_bert_base_portuguese_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_harem_bert_base_portuguese_cased BertForTokenClassification from liaad
+author: John Snow Labs
+name: ner_harem_bert_base_portuguese_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_harem_bert_base_portuguese_cased` is a English model originally trained by liaad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_harem_bert_base_portuguese_cased_en_5.5.0_3.0_1727248241432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_harem_bert_base_portuguese_cased_en_5.5.0_3.0_1727248241432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_harem_bert_base_portuguese_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/liaad/NER_harem_bert-base-portuguese-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ner_harem_bert_base_portuguese_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ner_harem_bert_base_portuguese_cased_pipeline_en.md
new file mode 100644
index 00000000000000..aa596ca52a5c6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ner_harem_bert_base_portuguese_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_harem_bert_base_portuguese_cased_pipeline pipeline BertForTokenClassification from liaad
+author: John Snow Labs
+name: ner_harem_bert_base_portuguese_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_harem_bert_base_portuguese_cased_pipeline` is a English model originally trained by liaad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_harem_bert_base_portuguese_cased_pipeline_en_5.5.0_3.0_1727248267196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_harem_bert_base_portuguese_cased_pipeline_en_5.5.0_3.0_1727248267196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_harem_bert_base_portuguese_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_harem_bert_base_portuguese_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_harem_bert_base_portuguese_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/liaad/NER_harem_bert-base-portuguese-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ner_resume_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ner_resume_pipeline_en.md
new file mode 100644
index 00000000000000..c0153ed3e40665
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ner_resume_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_resume_pipeline pipeline BertForTokenClassification from ClaudiuFilip1100
+author: John Snow Labs
+name: ner_resume_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_resume_pipeline` is a English model originally trained by ClaudiuFilip1100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_resume_pipeline_en_5.5.0_3.0_1727270974736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_resume_pipeline_en_5.5.0_3.0_1727270974736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_resume_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_resume_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_resume_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ClaudiuFilip1100/ner-resume
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-news_category_classifier_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-25-news_category_classifier_distilbert_en.md
new file mode 100644
index 00000000000000..32fe4dafec34cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-news_category_classifier_distilbert_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English news_category_classifier_distilbert BertForSequenceClassification from dima806
+author: John Snow Labs
+name: news_category_classifier_distilbert
+date: 2024-09-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_category_classifier_distilbert` is a English model originally trained by dima806.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_category_classifier_distilbert_en_5.5.0_3.0_1727268666692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_category_classifier_distilbert_en_5.5.0_3.0_1727268666692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_category_classifier_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/dima806/news-category-classifier-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-news_category_classifier_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-news_category_classifier_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..190923ed5fc0a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-news_category_classifier_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English news_category_classifier_distilbert_pipeline pipeline BertForSequenceClassification from wnic00
+author: John Snow Labs
+name: news_category_classifier_distilbert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_category_classifier_distilbert_pipeline` is a English model originally trained by wnic00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_category_classifier_distilbert_pipeline_en_5.5.0_3.0_1727268689039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_category_classifier_distilbert_pipeline_en_5.5.0_3.0_1727268689039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("news_category_classifier_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("news_category_classifier_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_category_classifier_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/wnic00/news-category-classifier-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-nlp_sardinian_based_on_bert_en.md b/docs/_posts/ahmedlone127/2024-09-25-nlp_sardinian_based_on_bert_en.md
new file mode 100644
index 00000000000000..31d16c98ba12f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-nlp_sardinian_based_on_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_sardinian_based_on_bert BertForSequenceClassification from 4TB-USTC
+author: John Snow Labs
+name: nlp_sardinian_based_on_bert
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_sardinian_based_on_bert` is a English model originally trained by 4TB-USTC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_sardinian_based_on_bert_en_5.5.0_3.0_1727288469493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_sardinian_based_on_bert_en_5.5.0_3.0_1727288469493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_sardinian_based_on_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/4TB-USTC/nlp_sc_based_on_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-nlp_sardinian_based_on_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-nlp_sardinian_based_on_bert_pipeline_en.md
new file mode 100644
index 00000000000000..ccdd277d28fb1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-nlp_sardinian_based_on_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_sardinian_based_on_bert_pipeline pipeline BertForSequenceClassification from 4TB-USTC
+author: John Snow Labs
+name: nlp_sardinian_based_on_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_sardinian_based_on_bert_pipeline` is a English model originally trained by 4TB-USTC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_sardinian_based_on_bert_pipeline_en_5.5.0_3.0_1727288492519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_sardinian_based_on_bert_pipeline_en_5.5.0_3.0_1727288492519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_sardinian_based_on_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_sardinian_based_on_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_sardinian_based_on_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/4TB-USTC/nlp_sc_based_on_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-nonsense_gibberish_detector_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-25-nonsense_gibberish_detector_pipeline_ru.md
new file mode 100644
index 00000000000000..d636f7605fcbb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-nonsense_gibberish_detector_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian nonsense_gibberish_detector_pipeline pipeline BertForSequenceClassification from Den4ikAI
+author: John Snow Labs
+name: nonsense_gibberish_detector_pipeline
+date: 2024-09-25
+tags: [ru, open_source, pipeline, onnx]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nonsense_gibberish_detector_pipeline` is a Russian model originally trained by Den4ikAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nonsense_gibberish_detector_pipeline_ru_5.5.0_3.0_1727239983491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nonsense_gibberish_detector_pipeline_ru_5.5.0_3.0_1727239983491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nonsense_gibberish_detector_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nonsense_gibberish_detector_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nonsense_gibberish_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|426.2 MB|
+
+## References
+
+https://huggingface.co/Den4ikAI/nonsense_gibberish_detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-nonsense_gibberish_detector_ru.md b/docs/_posts/ahmedlone127/2024-09-25-nonsense_gibberish_detector_ru.md
new file mode 100644
index 00000000000000..6c85ad9486dede
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-nonsense_gibberish_detector_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian nonsense_gibberish_detector BertForSequenceClassification from Den4ikAI
+author: John Snow Labs
+name: nonsense_gibberish_detector
+date: 2024-09-25
+tags: [ru, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nonsense_gibberish_detector` is a Russian model originally trained by Den4ikAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nonsense_gibberish_detector_ru_5.5.0_3.0_1727239962190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nonsense_gibberish_detector_ru_5.5.0_3.0_1727239962190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norwegian_bokml_whisper_tiny_nbailabbeta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|no|
+|Size:|384.2 MB|
+
+## References
+
+https://huggingface.co/NbAiLabBeta/nb-whisper-tiny
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-opticalbert_cner_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-opticalbert_cner_cased_en.md
new file mode 100644
index 00000000000000..951494a8e34b4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-opticalbert_cner_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opticalbert_cner_cased BertForTokenClassification from opticalmaterials
+author: John Snow Labs
+name: opticalbert_cner_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opticalbert_cner_cased` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opticalbert_cner_cased_en_5.5.0_3.0_1727248350546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opticalbert_cner_cased_en_5.5.0_3.0_1727248350546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opticalbert_cner_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalbert_cner_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-opticalbert_cner_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-opticalbert_cner_cased_pipeline_en.md
new file mode 100644
index 00000000000000..3ca3b95bea7f1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-opticalbert_cner_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opticalbert_cner_cased_pipeline pipeline BertForTokenClassification from opticalmaterials
+author: John Snow Labs
+name: opticalbert_cner_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opticalbert_cner_cased_pipeline` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opticalbert_cner_cased_pipeline_en_5.5.0_3.0_1727248371555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opticalbert_cner_cased_pipeline_en_5.5.0_3.0_1727248371555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opticalbert_cner_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opticalbert_cner_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opticalbert_cner_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalbert_cner_cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-opus_em_augmented_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-opus_em_augmented_pipeline_en.md
new file mode 100644
index 00000000000000..9c44c860a7839e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-opus_em_augmented_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_em_augmented_pipeline pipeline BertForSequenceClassification from keremp
+author: John Snow Labs
+name: opus_em_augmented_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_em_augmented_pipeline` is a English model originally trained by keremp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_em_augmented_pipeline_en_5.5.0_3.0_1727267676216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_em_augmented_pipeline_en_5.5.0_3.0_1727267676216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_em_augmented_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_em_augmented_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_em_augmented_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/keremp/opus-em-augmented
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-out_glue_mnli_en.md b/docs/_posts/ahmedlone127/2024-09-25-out_glue_mnli_en.md
new file mode 100644
index 00000000000000..483ba4fe648106
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-out_glue_mnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English out_glue_mnli BertForSequenceClassification from Tural
+author: John Snow Labs
+name: out_glue_mnli
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`out_glue_mnli` is a English model originally trained by Tural.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/out_glue_mnli_en_5.5.0_3.0_1727264080681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/out_glue_mnli_en_5.5.0_3.0_1727264080681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|out_glue_mnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/Tural/out-glue-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-out_glue_mnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-out_glue_mnli_pipeline_en.md
new file mode 100644
index 00000000000000..9b2648ebf2623c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-out_glue_mnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English out_glue_mnli_pipeline pipeline BertForSequenceClassification from Tural
+author: John Snow Labs
+name: out_glue_mnli_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`out_glue_mnli_pipeline` is a English model originally trained by Tural.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/out_glue_mnli_pipeline_en_5.5.0_3.0_1727264103708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/out_glue_mnli_pipeline_en_5.5.0_3.0_1727264103708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("out_glue_mnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("out_glue_mnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|out_glue_mnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/Tural/out-glue-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-pabee_bert_base_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-25-pabee_bert_base_sst2_en.md
new file mode 100644
index 00000000000000..cca658c28071ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-pabee_bert_base_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pabee_bert_base_sst2 BertForSequenceClassification from mattymchen
+author: John Snow Labs
+name: pabee_bert_base_sst2
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pabee_bert_base_sst2` is a English model originally trained by mattymchen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pabee_bert_base_sst2_en_5.5.0_3.0_1727276199313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pabee_bert_base_sst2_en_5.5.0_3.0_1727276199313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pabee_bert_base_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mattymchen/pabee-bert-base-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-pardonmyai_tiny_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-pardonmyai_tiny_pipeline_en.md
new file mode 100644
index 00000000000000..0abc2c9a8c7d10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-pardonmyai_tiny_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pardonmyai_tiny_pipeline pipeline BertForSequenceClassification from tarekziade
+author: John Snow Labs
+name: pardonmyai_tiny_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pardonmyai_tiny_pipeline` is a English model originally trained by tarekziade.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pardonmyai_tiny_pipeline_en_5.5.0_3.0_1727276171723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pardonmyai_tiny_pipeline_en_5.5.0_3.0_1727276171723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pardonmyai_tiny_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pardonmyai_tiny_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pardonmyai_tiny_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/tarekziade/pardonmyai-tiny
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phil_oriya_not_v1_2_en.md b/docs/_posts/ahmedlone127/2024-09-25-phil_oriya_not_v1_2_en.md
new file mode 100644
index 00000000000000..667746d5b84017
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phil_oriya_not_v1_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phil_oriya_not_v1_2 BertForSequenceClassification from dbourget
+author: John Snow Labs
+name: phil_oriya_not_v1_2
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phil_oriya_not_v1_2` is a English model originally trained by dbourget.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phil_oriya_not_v1_2_en_5.5.0_3.0_1727256892636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phil_oriya_not_v1_2_en_5.5.0_3.0_1727256892636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phil_oriya_not_v1_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dbourget/phil-or-not-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phil_oriya_not_v1_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phil_oriya_not_v1_2_pipeline_en.md
new file mode 100644
index 00000000000000..87eea4fd656329
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phil_oriya_not_v1_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phil_oriya_not_v1_2_pipeline pipeline BertForSequenceClassification from dbourget
+author: John Snow Labs
+name: phil_oriya_not_v1_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phil_oriya_not_v1_2_pipeline` is a English model originally trained by dbourget.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phil_oriya_not_v1_2_pipeline_en_5.5.0_3.0_1727256957656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phil_oriya_not_v1_2_pipeline_en_5.5.0_3.0_1727256957656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phil_oriya_not_v1_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phil_oriya_not_v1_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phil_oriya_not_v1_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dbourget/phil-or-not-v1.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_akode_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_akode_en.md
new file mode 100644
index 00000000000000..d99ff5b65001d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_akode_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_akode BertForSequenceClassification from akode
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_akode
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_akode` is a English model originally trained by akode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_akode_en_5.5.0_3.0_1727285371700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_akode_en_5.5.0_3.0_1727285371700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_akode|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/akode/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_amit7859_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_amit7859_en.md
new file mode 100644
index 00000000000000..d5e010a4275d7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_amit7859_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_amit7859 BertForSequenceClassification from amit7859
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_amit7859
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_amit7859` is a English model originally trained by amit7859.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_amit7859_en_5.5.0_3.0_1727272646752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_amit7859_en_5.5.0_3.0_1727272646752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_amit7859|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/amit7859/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_amit7859_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_amit7859_pipeline_en.md
new file mode 100644
index 00000000000000..0c53a832999ad5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_amit7859_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_amit7859_pipeline pipeline BertForSequenceClassification from amit7859
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_amit7859_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_amit7859_pipeline` is a English model originally trained by amit7859.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_amit7859_pipeline_en_5.5.0_3.0_1727272669484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_amit7859_pipeline_en_5.5.0_3.0_1727272669484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_amit7859_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_amit7859_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_amit7859_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/amit7859/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_fakhry_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_fakhry_en.md
new file mode 100644
index 00000000000000..897a7bd3bc6add
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_fakhry_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_fakhry BertForSequenceClassification from Fakhry
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_fakhry
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_fakhry` is a English model originally trained by Fakhry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_fakhry_en_5.5.0_3.0_1727279410361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_fakhry_en_5.5.0_3.0_1727279410361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_fakhry|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Fakhry/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_ramnathv_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_ramnathv_en.md
new file mode 100644
index 00000000000000..f48d1f786feef5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_ramnathv_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_ramnathv BertForSequenceClassification from ramnathv
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_ramnathv
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_ramnathv` is a English model originally trained by ramnathv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_ramnathv_en_5.5.0_3.0_1727269785757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_ramnathv_en_5.5.0_3.0_1727269785757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_ramnathv|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ramnathv/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_ramnathv_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_ramnathv_pipeline_en.md
new file mode 100644
index 00000000000000..b648fd2cd26b26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_ramnathv_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_ramnathv_pipeline pipeline BertForSequenceClassification from ramnathv
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_ramnathv_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_ramnathv_pipeline` is a English model originally trained by ramnathv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_ramnathv_pipeline_en_5.5.0_3.0_1727269808031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_ramnathv_pipeline_en_5.5.0_3.0_1727269808031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_ramnathv_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_ramnathv_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_ramnathv_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ramnathv/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_richychn_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_richychn_en.md
new file mode 100644
index 00000000000000..7343cebb801ce8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_richychn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_richychn BertForSequenceClassification from richychn
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_richychn
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_richychn` is a English model originally trained by richychn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_richychn_en_5.5.0_3.0_1727273091918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_richychn_en_5.5.0_3.0_1727273091918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_richychn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/richychn/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_saiteja_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_saiteja_pipeline_en.md
new file mode 100644
index 00000000000000..fed93220283bb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_saiteja_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_saiteja_pipeline pipeline BertForSequenceClassification from Saiteja
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_saiteja_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_saiteja_pipeline` is a English model originally trained by Saiteja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_saiteja_pipeline_en_5.5.0_3.0_1727268451986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_saiteja_pipeline_en_5.5.0_3.0_1727268451986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_saiteja_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_saiteja_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_saiteja_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Saiteja/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_stolbiq_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_stolbiq_en.md
new file mode 100644
index 00000000000000..cf69fccff2ae7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_stolbiq_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_stolbiq BertForSequenceClassification from stolbiq
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_stolbiq
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_stolbiq` is a English model originally trained by stolbiq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_stolbiq_en_5.5.0_3.0_1727266435933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_stolbiq_en_5.5.0_3.0_1727266435933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_stolbiq|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/stolbiq/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_stolbiq_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_stolbiq_pipeline_en.md
new file mode 100644
index 00000000000000..d4ce18a19e2154
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_stolbiq_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_stolbiq_pipeline pipeline BertForSequenceClassification from stolbiq
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_stolbiq_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_stolbiq_pipeline` is a English model originally trained by stolbiq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_stolbiq_pipeline_en_5.5.0_3.0_1727266458662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_stolbiq_pipeline_en_5.5.0_3.0_1727266458662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_stolbiq_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_stolbiq_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_stolbiq_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/stolbiq/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-polite_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-polite_bert_pipeline_en.md
new file mode 100644
index 00000000000000..e9e7c4b8e5f627
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-polite_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English polite_bert_pipeline pipeline BertForSequenceClassification from NOVA-vision-language
+author: John Snow Labs
+name: polite_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polite_bert_pipeline` is a English model originally trained by NOVA-vision-language.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polite_bert_pipeline_en_5.5.0_3.0_1727269543128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polite_bert_pipeline_en_5.5.0_3.0_1727269543128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("polite_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("polite_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polite_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/NOVA-vision-language/polite_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-postagger_bio_portuguese_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-25-postagger_bio_portuguese_pipeline_pt.md
new file mode 100644
index 00000000000000..1acf011046a6c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-postagger_bio_portuguese_pipeline_pt.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Portuguese postagger_bio_portuguese_pipeline pipeline BertForTokenClassification from pucpr-br
+author: John Snow Labs
+name: postagger_bio_portuguese_pipeline
+date: 2024-09-25
+tags: [pt, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`postagger_bio_portuguese_pipeline` is a Portuguese model originally trained by pucpr-br.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/postagger_bio_portuguese_pipeline_pt_5.5.0_3.0_1727259109089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/postagger_bio_portuguese_pipeline_pt_5.5.0_3.0_1727259109089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("postagger_bio_portuguese_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("postagger_bio_portuguese_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|postagger_bio_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/pucpr-br/postagger-bio-portuguese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-postagger_bio_portuguese_pt.md b/docs/_posts/ahmedlone127/2024-09-25-postagger_bio_portuguese_pt.md
new file mode 100644
index 00000000000000..307d600f04cd15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-postagger_bio_portuguese_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese postagger_bio_portuguese BertForTokenClassification from pucpr-br
+author: John Snow Labs
+name: postagger_bio_portuguese
+date: 2024-09-25
+tags: [pt, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`postagger_bio_portuguese` is a Portuguese model originally trained by pucpr-br.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/postagger_bio_portuguese_pt_5.5.0_3.0_1727259074952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/postagger_bio_portuguese_pt_5.5.0_3.0_1727259074952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|postagger_bio_portuguese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|pt|
+|Size:|664.9 MB|
+
+## References
+
+https://huggingface.co/pucpr-br/postagger-bio-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-propoint_final_project_en.md b/docs/_posts/ahmedlone127/2024-09-25-propoint_final_project_en.md
new file mode 100644
index 00000000000000..277ffb3ecf8639
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-propoint_final_project_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English propoint_final_project BertForSequenceClassification from DataAngelo
+author: John Snow Labs
+name: propoint_final_project
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`propoint_final_project` is a English model originally trained by DataAngelo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/propoint_final_project_en_5.5.0_3.0_1727272671514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/propoint_final_project_en_5.5.0_3.0_1727272671514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|propoint_final_project|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/DataAngelo/propoint_Final_project
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-prototipo_7_emi_en.md b/docs/_posts/ahmedlone127/2024-09-25-prototipo_7_emi_en.md
new file mode 100644
index 00000000000000..403836deb137d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-prototipo_7_emi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English prototipo_7_emi BertForSequenceClassification from Armandodelca
+author: John Snow Labs
+name: prototipo_7_emi
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prototipo_7_emi` is a English model originally trained by Armandodelca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prototipo_7_emi_en_5.5.0_3.0_1727270129321.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prototipo_7_emi_en_5.5.0_3.0_1727270129321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prototipo_7_emi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/Armandodelca/Prototipo_7_EMI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-prototipo_7_emi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-prototipo_7_emi_pipeline_en.md
new file mode 100644
index 00000000000000..82034aa2fb77e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-prototipo_7_emi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English prototipo_7_emi_pipeline pipeline BertForSequenceClassification from Armandodelca
+author: John Snow Labs
+name: prototipo_7_emi_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prototipo_7_emi_pipeline` is a English model originally trained by Armandodelca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prototipo_7_emi_pipeline_en_5.5.0_3.0_1727270150743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prototipo_7_emi_pipeline_en_5.5.0_3.0_1727270150743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("prototipo_7_emi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("prototipo_7_emi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prototipo_7_emi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/Armandodelca/Prototipo_7_EMI
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-psychbert_finetuned_mentalhealth_en.md b/docs/_posts/ahmedlone127/2024-09-25-psychbert_finetuned_mentalhealth_en.md
new file mode 100644
index 00000000000000..b96763d4612595
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-psychbert_finetuned_mentalhealth_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English psychbert_finetuned_mentalhealth BertForSequenceClassification from mnaylor
+author: John Snow Labs
+name: psychbert_finetuned_mentalhealth
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`psychbert_finetuned_mentalhealth` is a English model originally trained by mnaylor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psychbert_finetuned_mentalhealth_en_5.5.0_3.0_1727257449190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psychbert_finetuned_mentalhealth_en_5.5.0_3.0_1727257449190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psychbert_finetuned_mentalhealth|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mnaylor/psychbert-finetuned-mentalhealth
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-re2g_reranker_fever_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-re2g_reranker_fever_pipeline_en.md
new file mode 100644
index 00000000000000..220cb9a12218e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-re2g_reranker_fever_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English re2g_reranker_fever_pipeline pipeline BertForSequenceClassification from ibm
+author: John Snow Labs
+name: re2g_reranker_fever_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`re2g_reranker_fever_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/re2g_reranker_fever_pipeline_en_5.5.0_3.0_1727287247023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/re2g_reranker_fever_pipeline_en_5.5.0_3.0_1727287247023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("re2g_reranker_fever_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("re2g_reranker_fever_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|re2g_reranker_fever_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ibm/re2g-reranker-fever
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-requirements_ambiguity_v2_nl.md b/docs/_posts/ahmedlone127/2024-09-25-requirements_ambiguity_v2_nl.md
new file mode 100644
index 00000000000000..c4e79497f8196a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-requirements_ambiguity_v2_nl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Dutch, Flemish requirements_ambiguity_v2 BertForSequenceClassification from denizspynk
+author: John Snow Labs
+name: requirements_ambiguity_v2
+date: 2024-09-25
+tags: [nl, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: nl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`requirements_ambiguity_v2` is a Dutch, Flemish model originally trained by denizspynk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/requirements_ambiguity_v2_nl_5.5.0_3.0_1727267361597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/requirements_ambiguity_v2_nl_5.5.0_3.0_1727267361597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|requirements_ambiguity_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/denizspynk/requirements_ambiguity_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-requirements_ambiguity_v2_pipeline_nl.md b/docs/_posts/ahmedlone127/2024-09-25-requirements_ambiguity_v2_pipeline_nl.md
new file mode 100644
index 00000000000000..05d64757cb0842
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-requirements_ambiguity_v2_pipeline_nl.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Dutch, Flemish requirements_ambiguity_v2_pipeline pipeline BertForSequenceClassification from denizspynk
+author: John Snow Labs
+name: requirements_ambiguity_v2_pipeline
+date: 2024-09-25
+tags: [nl, open_source, pipeline, onnx]
+task: Text Classification
+language: nl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`requirements_ambiguity_v2_pipeline` is a Dutch, Flemish model originally trained by denizspynk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/requirements_ambiguity_v2_pipeline_nl_5.5.0_3.0_1727267383613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/requirements_ambiguity_v2_pipeline_nl_5.5.0_3.0_1727267383613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("requirements_ambiguity_v2_pipeline", lang = "nl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("requirements_ambiguity_v2_pipeline", lang = "nl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|requirements_ambiguity_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|nl|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/denizspynk/requirements_ambiguity_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-response_score_en.md b/docs/_posts/ahmedlone127/2024-09-25-response_score_en.md
new file mode 100644
index 00000000000000..339aff0e4a8b56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-response_score_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English response_score BertForSequenceClassification from conversify
+author: John Snow Labs
+name: response_score
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`response_score` is a English model originally trained by conversify.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/response_score_en_5.5.0_3.0_1727279110839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/response_score_en_5.5.0_3.0_1727279110839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|response_score|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/conversify/response-score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-robert_sst2_sentiment_full_en.md b/docs/_posts/ahmedlone127/2024-09-25-robert_sst2_sentiment_full_en.md
new file mode 100644
index 00000000000000..9bc8a833c1f316
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-robert_sst2_sentiment_full_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robert_sst2_sentiment_full RoBertaForSequenceClassification from asm3515
+author: John Snow Labs
+name: robert_sst2_sentiment_full
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robert_sst2_sentiment_full` is a English model originally trained by asm3515.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robert_sst2_sentiment_full_en_5.5.0_3.0_1727234101299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robert_sst2_sentiment_full_en_5.5.0_3.0_1727234101299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robert_sst2_sentiment_full|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.3 MB|
+
+## References
+
+https://huggingface.co/asm3515/Robert-sst2-sentiment-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-robert_sst2_sentiment_full_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-robert_sst2_sentiment_full_pipeline_en.md
new file mode 100644
index 00000000000000..a0c0ca3c40b9e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-robert_sst2_sentiment_full_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robert_sst2_sentiment_full_pipeline pipeline RoBertaForSequenceClassification from asm3515
+author: John Snow Labs
+name: robert_sst2_sentiment_full_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robert_sst2_sentiment_full_pipeline` is a English model originally trained by asm3515.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robert_sst2_sentiment_full_pipeline_en_5.5.0_3.0_1727234127250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robert_sst2_sentiment_full_pipeline_en_5.5.0_3.0_1727234127250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robert_sst2_sentiment_full_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robert_sst2_sentiment_full_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robert_sst2_sentiment_full_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|443.3 MB|
+
+## References
+
+https://huggingface.co/asm3515/Robert-sst2-sentiment-full
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-roberta_cased_poem_evalutation_en.md b/docs/_posts/ahmedlone127/2024-09-25-roberta_cased_poem_evalutation_en.md
new file mode 100644
index 00000000000000..7cb193885e28f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-roberta_cased_poem_evalutation_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_cased_poem_evalutation XlmRoBertaForSequenceClassification from numblilbug
+author: John Snow Labs
+name: roberta_cased_poem_evalutation
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cased_poem_evalutation` is a English model originally trained by numblilbug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cased_poem_evalutation_en_5.5.0_3.0_1727229518168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cased_poem_evalutation_en_5.5.0_3.0_1727229518168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cased_poem_evalutation|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|800.6 MB|
+
+## References
+
+https://huggingface.co/numblilbug/roberta-cased-poem-evalutation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-roberta_cased_poem_evalutation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-roberta_cased_poem_evalutation_pipeline_en.md
new file mode 100644
index 00000000000000..bebdbfe2ccfb7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-roberta_cased_poem_evalutation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_cased_poem_evalutation_pipeline pipeline XlmRoBertaForSequenceClassification from numblilbug
+author: John Snow Labs
+name: roberta_cased_poem_evalutation_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cased_poem_evalutation_pipeline` is a English model originally trained by numblilbug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cased_poem_evalutation_pipeline_en_5.5.0_3.0_1727229640522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cased_poem_evalutation_pipeline_en_5.5.0_3.0_1727229640522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_cased_poem_evalutation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_cased_poem_evalutation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cased_poem_evalutation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|800.7 MB|
+
+## References
+
+https://huggingface.co/numblilbug/roberta-cased-poem-evalutation
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_assamese_en.md b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_assamese_en.md
new file mode 100644
index 00000000000000..598bb471144fb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_assamese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_cws_assamese BertForTokenClassification from tjspross
+author: John Snow Labs
+name: roberta_cws_assamese
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cws_assamese` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cws_assamese_en_5.5.0_3.0_1727247216317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cws_assamese_en_5.5.0_3.0_1727247216317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cws_assamese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/tjspross/roberta_cws_as
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_assamese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_assamese_pipeline_en.md
new file mode 100644
index 00000000000000..590942d60c19d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_assamese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_cws_assamese_pipeline pipeline BertForTokenClassification from tjspross
+author: John Snow Labs
+name: roberta_cws_assamese_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cws_assamese_pipeline` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cws_assamese_pipeline_en_5.5.0_3.0_1727247276609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cws_assamese_pipeline_en_5.5.0_3.0_1727247276609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_cws_assamese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_cws_assamese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cws_assamese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/tjspross/roberta_cws_as
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_pku_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_pku_pipeline_en.md
new file mode 100644
index 00000000000000..ef3443da8ba3a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_pku_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_cws_pku_pipeline pipeline BertForTokenClassification from tjspross
+author: John Snow Labs
+name: roberta_cws_pku_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cws_pku_pipeline` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cws_pku_pipeline_en_5.5.0_3.0_1727265373986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cws_pku_pipeline_en_5.5.0_3.0_1727265373986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_cws_pku_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_cws_pku_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cws_pku_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/tjspross/roberta_cws_pku
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-robust_bert_yelp_en.md b/docs/_posts/ahmedlone127/2024-09-25-robust_bert_yelp_en.md
new file mode 100644
index 00000000000000..068c779df22ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-robust_bert_yelp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robust_bert_yelp BertForSequenceClassification from JiaqiLee
+author: John Snow Labs
+name: robust_bert_yelp
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robust_bert_yelp` is a English model originally trained by JiaqiLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robust_bert_yelp_en_5.5.0_3.0_1727235386984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robust_bert_yelp_en_5.5.0_3.0_1727235386984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_russian_financial_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/mxlcw/rubert-tiny2-russian-financial-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ruberttiny_multiclassv1_en.md b/docs/_posts/ahmedlone127/2024-09-25-ruberttiny_multiclassv1_en.md
new file mode 100644
index 00000000000000..34aeaf44f53a6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ruberttiny_multiclassv1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ruberttiny_multiclassv1 BertForSequenceClassification from Shakhovak
+author: John Snow Labs
+name: ruberttiny_multiclassv1
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruberttiny_multiclassv1` is a English model originally trained by Shakhovak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruberttiny_multiclassv1_en_5.5.0_3.0_1727261047373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruberttiny_multiclassv1_en_5.5.0_3.0_1727261047373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruberttiny_multiclassv1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/Shakhovak/ruBertTiny_multiclassv1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-russscholar_seeker_en.md b/docs/_posts/ahmedlone127/2024-09-25-russscholar_seeker_en.md
new file mode 100644
index 00000000000000..baf1cb48a0b8d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-russscholar_seeker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English russscholar_seeker BertForSequenceClassification from Gao-Tianci
+author: John Snow Labs
+name: russscholar_seeker
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`russscholar_seeker` is a English model originally trained by Gao-Tianci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/russscholar_seeker_en_5.5.0_3.0_1727263668402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/russscholar_seeker_en_5.5.0_3.0_1727263668402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|russscholar_seeker|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Gao-Tianci/RussScholar-Seeker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_en.md b/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_en.md
new file mode 100644
index 00000000000000..d5e4e5c575031f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sarcasm_detection_bert_base_uncased_cree BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_bert_base_uncased_cree
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_bert_base_uncased_cree` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_cree_en_5.5.0_3.0_1727263812158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_cree_en_5.5.0_3.0_1727263812158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_bert_base_uncased_cree|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-Bert-base-uncased-CR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_en.md
new file mode 100644
index 00000000000000..b486e8e9d57565
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sarcasm_detection_bert_base_uncased_cree_sayula_popoluca BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_bert_base_uncased_cree_sayula_popoluca
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_bert_base_uncased_cree_sayula_popoluca` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_en_5.5.0_3.0_1727269746904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_en_5.5.0_3.0_1727269746904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_bert_base_uncased_cree_sayula_popoluca|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-Bert-base-uncased-CR-POS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..dbb32bbe15575d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline pipeline BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline_en_5.5.0_3.0_1727269769545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline_en_5.5.0_3.0_1727269769545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_bert_base_uncased_cree_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-Bert-base-uncased-CR-POS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-segbert_en.md b/docs/_posts/ahmedlone127/2024-09-25-segbert_en.md
new file mode 100644
index 00000000000000..40c83e8ca39c83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-segbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English segbert BertForTokenClassification from gMask
+author: John Snow Labs
+name: segbert
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`segbert` is a English model originally trained by gMask.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/segbert_en_5.5.0_3.0_1727272315504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/segbert_en_5.5.0_3.0_1727272315504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|segbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/gMask/SegBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-segbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-segbert_pipeline_en.md
new file mode 100644
index 00000000000000..e0eebd6d3a5959
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-segbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English segbert_pipeline pipeline BertForTokenClassification from gMask
+author: John Snow Labs
+name: segbert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`segbert_pipeline` is a English model originally trained by gMask.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/segbert_pipeline_en_5.5.0_3.0_1727272337252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/segbert_pipeline_en_5.5.0_3.0_1727272337252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("segbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("segbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|segbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/gMask/SegBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sembr2023_bert_mini_en.md b/docs/_posts/ahmedlone127/2024-09-25-sembr2023_bert_mini_en.md
new file mode 100644
index 00000000000000..ee6d88576d0a99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sembr2023_bert_mini_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sembr2023_bert_mini BertForTokenClassification from admko
+author: John Snow Labs
+name: sembr2023_bert_mini
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sembr2023_bert_mini` is a English model originally trained by admko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sembr2023_bert_mini_en_5.5.0_3.0_1727271738534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sembr2023_bert_mini_en_5.5.0_3.0_1727271738534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sembr2023_bert_mini|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/admko/sembr2023-bert-mini
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sembr2023_bert_mini_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sembr2023_bert_mini_pipeline_en.md
new file mode 100644
index 00000000000000..16a1726ec7bd4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sembr2023_bert_mini_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sembr2023_bert_mini_pipeline pipeline BertForTokenClassification from admko
+author: John Snow Labs
+name: sembr2023_bert_mini_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sembr2023_bert_mini_pipeline` is a English model originally trained by admko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sembr2023_bert_mini_pipeline_en_5.5.0_3.0_1727271741023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sembr2023_bert_mini_pipeline_en_5.5.0_3.0_1727271741023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sembr2023_bert_mini_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sembr2023_bert_mini_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sembr2023_bert_mini_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/admko/sembr2023-bert-mini
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_arabert_ar.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_arabert_ar.md
new file mode 100644
index 00000000000000..3146c5f1b5dce4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_arabert_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic sent_bert_base_arabert BertSentenceEmbeddings from aubmindlab
+author: John Snow Labs
+name: sent_bert_base_arabert
+date: 2024-09-25
+tags: [ar, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_arabert` is a Arabic model originally trained by aubmindlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabert_ar_5.5.0_3.0_1727252183947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabert_ar_5.5.0_3.0_1727252183947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_arabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/aubmindlab/bert-base-arabert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_cased_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_cased_finetuned_en.md
new file mode 100644
index 00000000000000..3e1bd2ecc876ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_cased_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_cased_finetuned BertSentenceEmbeddings from GusNicho
+author: John Snow Labs
+name: sent_bert_base_cased_finetuned
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_cased_finetuned` is a English model originally trained by GusNicho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_finetuned_en_5.5.0_3.0_1727248585487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_finetuned_en_5.5.0_3.0_1727248585487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_cased_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/GusNicho/bert-base-cased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_cased_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_cased_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..e66ba1d82a3bc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_cased_finetuned_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_cased_finetuned_pipeline pipeline BertSentenceEmbeddings from GusNicho
+author: John Snow Labs
+name: sent_bert_base_cased_finetuned_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_cased_finetuned_pipeline` is a English model originally trained by GusNicho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_finetuned_pipeline_en_5.5.0_3.0_1727248606505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_finetuned_pipeline_en_5.5.0_3.0_1727248606505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_cased_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_cased_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_cased_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.2 MB|
+
+## References
+
+https://huggingface.co/GusNicho/bert-base-cased-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_spanish_portuguese_italian_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_spanish_portuguese_italian_cased_en.md
new file mode 100644
index 00000000000000..7201288827bc68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_spanish_portuguese_italian_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_french_spanish_portuguese_italian_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_spanish_portuguese_italian_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_spanish_portuguese_italian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_portuguese_italian_cased_en_5.5.0_3.0_1727252787834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_portuguese_italian_cased_en_5.5.0_3.0_1727252787834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_spanish_portuguese_italian_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|444.7 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-es-pt-it-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline_en.md
new file mode 100644
index 00000000000000..b93dc47b15e02f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline_en_5.5.0_3.0_1727252810824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline_en_5.5.0_3.0_1727252810824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_spanish_portuguese_italian_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|445.2 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-es-pt-it-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_greek_modern_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_greek_modern_cased_en.md
new file mode 100644
index 00000000000000..149451b12b97ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_greek_modern_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_greek_modern_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_greek_modern_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_greek_modern_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_greek_modern_cased_en_5.5.0_3.0_1727249089682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_greek_modern_cased_en_5.5.0_3.0_1727249089682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_greek_modern_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-el-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_greek_modern_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_greek_modern_cased_pipeline_en.md
new file mode 100644
index 00000000000000..aa582455c436a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_greek_modern_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_greek_modern_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_greek_modern_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_greek_modern_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_greek_modern_cased_pipeline_en_5.5.0_3.0_1727249112368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_greek_modern_cased_pipeline_en_5.5.0_3.0_1727249112368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_greek_modern_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_greek_modern_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_greek_modern_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-el-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_romanian_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_romanian_cased_en.md
new file mode 100644
index 00000000000000..bf34f70ca72761
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_romanian_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_romanian_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_romanian_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_romanian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_romanian_cased_en_5.5.0_3.0_1727249389571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_romanian_cased_en_5.5.0_3.0_1727249389571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_romanian_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|413.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ro-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_romanian_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_romanian_cased_pipeline_en.md
new file mode 100644
index 00000000000000..ffa07fd104257d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_romanian_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_romanian_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_romanian_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_romanian_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_romanian_cased_pipeline_en_5.5.0_3.0_1727249410986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_romanian_cased_pipeline_en_5.5.0_3.0_1727249410986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_romanian_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_romanian_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_romanian_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|413.8 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ro-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_swahili_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_swahili_cased_en.md
new file mode 100644
index 00000000000000..2f710361e7a051
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_swahili_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_swahili_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_swahili_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_swahili_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_swahili_cased_en_5.5.0_3.0_1727252203082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_swahili_cased_en_5.5.0_3.0_1727252203082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_swahili_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.7 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-sw-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_urdu_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_urdu_cased_en.md
new file mode 100644
index 00000000000000..92fe9b68604874
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_urdu_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_urdu_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_urdu_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_urdu_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_urdu_cased_en_5.5.0_3.0_1727256669262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_urdu_cased_en_5.5.0_3.0_1727256669262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_urdu_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.7 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ur-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_en.md
new file mode 100644
index 00000000000000..d0933c512eddb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy BertSentenceEmbeddings from snousias
+author: John Snow Labs
+name: sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy` is a English model originally trained by snousias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_en_5.5.0_3.0_1727252727733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_en_5.5.0_3.0_1727252727733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|421.1 MB|
+
+## References
+
+https://huggingface.co/snousias/bert-base-greek-uncased-v5-finetuned-polylex-mg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline_en.md
new file mode 100644
index 00000000000000..d961b5455089e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline pipeline BertSentenceEmbeddings from snousias
+author: John Snow Labs
+name: sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline` is a English model originally trained by snousias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline_en_5.5.0_3.0_1727252749532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline_en_5.5.0_3.0_1727252749532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_greek_uncased_v5_finetuned_polylex_malagasy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|421.7 MB|
+
+## References
+
+https://huggingface.co/snousias/bert-base-greek-uncased-v5-finetuned-polylex-mg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_macedonian_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_macedonian_cased_en.md
new file mode 100644
index 00000000000000..24aa490575cdcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_macedonian_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_macedonian_cased BertSentenceEmbeddings from anon-submission-mk
+author: John Snow Labs
+name: sent_bert_base_macedonian_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_macedonian_cased` is a English model originally trained by anon-submission-mk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_macedonian_cased_en_5.5.0_3.0_1727251966901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_macedonian_cased_en_5.5.0_3.0_1727251966901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_macedonian_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/anon-submission-mk/bert-base-macedonian-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_macedonian_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_macedonian_cased_pipeline_en.md
new file mode 100644
index 00000000000000..65d6c72fc58dab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_macedonian_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_macedonian_cased_pipeline pipeline BertSentenceEmbeddings from anon-submission-mk
+author: John Snow Labs
+name: sent_bert_base_macedonian_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_macedonian_cased_pipeline` is a English model originally trained by anon-submission-mk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_macedonian_cased_pipeline_en_5.5.0_3.0_1727251988928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_macedonian_cased_pipeline_en_5.5.0_3.0_1727251988928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_macedonian_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_macedonian_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_macedonian_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.8 MB|
+
+## References
+
+https://huggingface.co/anon-submission-mk/bert-base-macedonian-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline_pt.md
new file mode 100644
index 00000000000000..1c01c6653f6339
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline_pt.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Portuguese sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline pipeline BertSentenceEmbeddings from Luciano
+author: John Snow Labs
+name: sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline
+date: 2024-09-25
+tags: [pt, open_source, pipeline, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline` is a Portuguese model originally trained by Luciano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline_pt_5.5.0_3.0_1727252674645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline_pt_5.5.0_3.0_1727252674645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|406.5 MB|
+
+## References
+
+https://huggingface.co/Luciano/bert-base-portuguese-cased-finetuned-tcu-acordaos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pt.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pt.md
new file mode 100644
index 00000000000000..b0ecccea9bde39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese sent_bert_base_portuguese_cased_finetuned_tcu_acordaos BertSentenceEmbeddings from Luciano
+author: John Snow Labs
+name: sent_bert_base_portuguese_cased_finetuned_tcu_acordaos
+date: 2024-09-25
+tags: [pt, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_portuguese_cased_finetuned_tcu_acordaos` is a Portuguese model originally trained by Luciano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pt_5.5.0_3.0_1727252653031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_portuguese_cased_finetuned_tcu_acordaos_pt_5.5.0_3.0_1727252653031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_portuguese_cased_finetuned_tcu_acordaos|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Luciano/bert-base-portuguese-cased-finetuned-tcu-acordaos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_en.md
new file mode 100644
index 00000000000000..7c19178fe4b1f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_spanish_wwm_cased_finetuned_literature_pro BertSentenceEmbeddings from a-v-bely
+author: John Snow Labs
+name: sent_bert_base_spanish_wwm_cased_finetuned_literature_pro
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_spanish_wwm_cased_finetuned_literature_pro` is a English model originally trained by a-v-bely.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_en_5.5.0_3.0_1727251984291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_en_5.5.0_3.0_1727251984291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_spanish_wwm_cased_finetuned_literature_pro|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/a-v-bely/bert-base-spanish-wwm-cased-finetuned-literature-pro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline_en.md
new file mode 100644
index 00000000000000..68fce6150841f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline pipeline BertSentenceEmbeddings from a-v-bely
+author: John Snow Labs
+name: sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline` is a English model originally trained by a-v-bely.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline_en_5.5.0_3.0_1727252006287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline_en_5.5.0_3.0_1727252006287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_spanish_wwm_cased_finetuned_literature_pro_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/a-v-bely/bert-base-spanish-wwm-cased-finetuned-literature-pro
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_1802_r1_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_1802_r1_en.md
new file mode 100644
index 00000000000000..45977fbe03d8e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_1802_r1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_1802_r1 BertSentenceEmbeddings from JamesKim
+author: John Snow Labs
+name: sent_bert_base_uncased_1802_r1
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_1802_r1` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_1802_r1_en_5.5.0_3.0_1727252925708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_1802_r1_en_5.5.0_3.0_1727252925708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_1802_r1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/JamesKim/bert-base-uncased_1802_r1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_1802_r1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_1802_r1_pipeline_en.md
new file mode 100644
index 00000000000000..bb25b0e09ec5e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_1802_r1_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_1802_r1_pipeline pipeline BertSentenceEmbeddings from JamesKim
+author: John Snow Labs
+name: sent_bert_base_uncased_1802_r1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_1802_r1_pipeline` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_1802_r1_pipeline_en_5.5.0_3.0_1727252950127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_1802_r1_pipeline_en_5.5.0_3.0_1727252950127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_1802_r1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_1802_r1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_1802_r1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/JamesKim/bert-base-uncased_1802_r1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_en.md
new file mode 100644
index 00000000000000..caea42250cb8b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_en_5.5.0_3.0_1727248679997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_en_5.5.0_3.0_1727248679997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_en.md
new file mode 100644
index 00000000000000..37b27e5e2888cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_en_5.5.0_3.0_1727252904970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_en_5.5.0_3.0_1727252904970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-6ep-lower
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline_en.md
new file mode 100644
index 00000000000000..20fcaece26fde7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline pipeline BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline_en_5.5.0_3.0_1727252927351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline_en_5.5.0_3.0_1727252927351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_6ep_lower_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-6ep-lower
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_en.md
new file mode 100644
index 00000000000000..ff63beeff82825
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_en_5.5.0_3.0_1727248768771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_en_5.5.0_3.0_1727248768771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-7ep-lower
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline_en.md
new file mode 100644
index 00000000000000..56b038e7bc33b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline pipeline BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline_en_5.5.0_3.0_1727248790865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline_en_5.5.0_3.0_1727248790865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_7ep_lower_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-7ep-lower
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_pipeline_en.md
new file mode 100644
index 00000000000000..349071eccba737
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_finetuned_wallisian_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_pipeline pipeline BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_pipeline_en_5.5.0_3.0_1727248701470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_pipeline_en_5.5.0_3.0_1727248701470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_haesun_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_haesun_en.md
new file mode 100644
index 00000000000000..de2d6069cf6ffc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_haesun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_haesun BertSentenceEmbeddings from haesun
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_haesun
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_haesun` is a English model originally trained by haesun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_haesun_en_5.5.0_3.0_1727230745218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_haesun_en_5.5.0_3.0_1727230745218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_haesun|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/haesun/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_haesun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_haesun_pipeline_en.md
new file mode 100644
index 00000000000000..7338c5cc86c0f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_haesun_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_haesun_pipeline pipeline BertSentenceEmbeddings from haesun
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_haesun_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_haesun_pipeline` is a English model originally trained by haesun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_haesun_pipeline_en_5.5.0_3.0_1727230765829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_haesun_pipeline_en_5.5.0_3.0_1727230765829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_haesun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_haesun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_haesun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/haesun/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_mabrouk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_mabrouk_pipeline_en.md
new file mode 100644
index 00000000000000..75f207533e8563
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_mabrouk_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_mabrouk_pipeline pipeline BertSentenceEmbeddings from mabrouk
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_mabrouk_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_mabrouk_pipeline` is a English model originally trained by mabrouk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_mabrouk_pipeline_en_5.5.0_3.0_1727251458188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_mabrouk_pipeline_en_5.5.0_3.0_1727251458188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_mabrouk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_mabrouk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_mabrouk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/mabrouk/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_robinsh2023_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_robinsh2023_en.md
new file mode 100644
index 00000000000000..25bbd73ed86536
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_robinsh2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_robinsh2023 BertSentenceEmbeddings from Robinsh2023
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_robinsh2023
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_robinsh2023` is a English model originally trained by Robinsh2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_robinsh2023_en_5.5.0_3.0_1727234930301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_robinsh2023_en_5.5.0_3.0_1727234930301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_robinsh2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Robinsh2023/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_robinsh2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_robinsh2023_pipeline_en.md
new file mode 100644
index 00000000000000..98eea9f8c85640
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_issues_128_robinsh2023_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_robinsh2023_pipeline pipeline BertSentenceEmbeddings from Robinsh2023
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_robinsh2023_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_robinsh2023_pipeline` is a English model originally trained by Robinsh2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_robinsh2023_pipeline_en_5.5.0_3.0_1727234951381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_robinsh2023_pipeline_en_5.5.0_3.0_1727234951381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_robinsh2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_robinsh2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_robinsh2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/Robinsh2023/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_malayalam_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_malayalam_en.md
new file mode 100644
index 00000000000000..6fa96082c9f1ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_malayalam_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_malayalam BertSentenceEmbeddings from Tural
+author: John Snow Labs
+name: sent_bert_base_uncased_malayalam
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_malayalam` is a English model originally trained by Tural.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_malayalam_en_5.5.0_3.0_1727253078814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_malayalam_en_5.5.0_3.0_1727253078814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_malayalam|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Tural/bert-base-uncased-ml
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_malayalam_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_malayalam_pipeline_en.md
new file mode 100644
index 00000000000000..262f1e0f5a523f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_malayalam_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_malayalam_pipeline pipeline BertSentenceEmbeddings from Tural
+author: John Snow Labs
+name: sent_bert_base_uncased_malayalam_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_malayalam_pipeline` is a English model originally trained by Tural.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_malayalam_pipeline_en_5.5.0_3.0_1727253099895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_malayalam_pipeline_en_5.5.0_3.0_1727253099895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_malayalam_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_malayalam_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_malayalam_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/Tural/bert-base-uncased-ml
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_en.md
new file mode 100644
index 00000000000000..a90a843650af30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_mlm_scirepeval_fos_chemistry BertSentenceEmbeddings from jonas-luehrs
+author: John Snow Labs
+name: sent_bert_base_uncased_mlm_scirepeval_fos_chemistry
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_mlm_scirepeval_fos_chemistry` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_en_5.5.0_3.0_1727234682485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_en_5.5.0_3.0_1727234682485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_mlm_scirepeval_fos_chemistry|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-MLM-scirepeval_fos_chemistry
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline_en.md
new file mode 100644
index 00000000000000..5853799494ddbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline pipeline BertSentenceEmbeddings from jonas-luehrs
+author: John Snow Labs
+name: sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline_en_5.5.0_3.0_1727234703495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline_en_5.5.0_3.0_1727234703495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_mlm_scirepeval_fos_chemistry_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-MLM-scirepeval_fos_chemistry
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_model_attribution_challenge_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_model_attribution_challenge_en.md
new file mode 100644
index 00000000000000..db7d519bf1b884
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_model_attribution_challenge_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_model_attribution_challenge BertSentenceEmbeddings from model-attribution-challenge
+author: John Snow Labs
+name: sent_bert_base_uncased_model_attribution_challenge
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_model_attribution_challenge` is a English model originally trained by model-attribution-challenge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_model_attribution_challenge_en_5.5.0_3.0_1727252027969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_model_attribution_challenge_en_5.5.0_3.0_1727252027969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_model_attribution_challenge|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/model-attribution-challenge/bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sclarge_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sclarge_pipeline_en.md
new file mode 100644
index 00000000000000..2e429c80c582ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sclarge_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_sclarge_pipeline pipeline BertSentenceEmbeddings from CambridgeMolecularEngineering
+author: John Snow Labs
+name: sent_bert_base_uncased_sclarge_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_sclarge_pipeline` is a English model originally trained by CambridgeMolecularEngineering.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sclarge_pipeline_en_5.5.0_3.0_1727230881067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sclarge_pipeline_en_5.5.0_3.0_1727230881067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_sclarge_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_sclarge_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_sclarge_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/CambridgeMolecularEngineering/bert-base-uncased-sclarge
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sijia_w_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sijia_w_en.md
new file mode 100644
index 00000000000000..8b3e59b073fb20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sijia_w_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_sijia_w BertSentenceEmbeddings from sijia-w
+author: John Snow Labs
+name: sent_bert_base_uncased_sijia_w
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_sijia_w` is a English model originally trained by sijia-w.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sijia_w_en_5.5.0_3.0_1727234344591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sijia_w_en_5.5.0_3.0_1727234344591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_sijia_w|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sijia-w/bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sijia_w_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sijia_w_pipeline_en.md
new file mode 100644
index 00000000000000..4c43e76264b8ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_uncased_sijia_w_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_sijia_w_pipeline pipeline BertSentenceEmbeddings from sijia-w
+author: John Snow Labs
+name: sent_bert_base_uncased_sijia_w_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_sijia_w_pipeline` is a English model originally trained by sijia-w.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sijia_w_pipeline_en_5.5.0_3.0_1727234365461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sijia_w_pipeline_en_5.5.0_3.0_1727234365461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_sijia_w_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_sijia_w_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_sijia_w_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/sijia-w/bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_vn_finetuned_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_vn_finetuned_portuguese_en.md
new file mode 100644
index 00000000000000..c4e012585d4772
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_vn_finetuned_portuguese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_vn_finetuned_portuguese BertSentenceEmbeddings from dotansang
+author: John Snow Labs
+name: sent_bert_base_vn_finetuned_portuguese
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_vn_finetuned_portuguese` is a English model originally trained by dotansang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_vn_finetuned_portuguese_en_5.5.0_3.0_1727248589931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_vn_finetuned_portuguese_en_5.5.0_3.0_1727248589931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_vn_finetuned_portuguese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|498.8 MB|
+
+## References
+
+https://huggingface.co/dotansang/bert-base-vn-finetuned-pt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_cased_en.md
new file mode 100644
index 00000000000000..ba7aa35d488d88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_cased_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: BERT Sentence Embeddings (Large Cased)
+author: John Snow Labs
+name: sent_bert_large_cased
+date: 2024-09-25
+tags: [open_source, embeddings, en, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This model contains a deep bidirectional transformer trained on Wikipedia and the BookCorpus. The details are described in the paper "[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805)".
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_en_5.5.0_3.0_1727230647828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_en_5.5.0_3.0_1727230647828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_nli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/binwang/bert-large-nli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_nli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_nli_pipeline_en.md
new file mode 100644
index 00000000000000..df3914a2b6a4e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_nli_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_large_nli_pipeline pipeline BertSentenceEmbeddings from binwang
+author: John Snow Labs
+name: sent_bert_large_nli_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_nli_pipeline` is a English model originally trained by binwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_nli_pipeline_en_5.5.0_3.0_1727251760270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_nli_pipeline_en_5.5.0_3.0_1727251760270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_large_nli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_large_nli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_nli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/binwang/bert-large-nli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_portuguese_cased_legal_tsdae_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_portuguese_cased_legal_tsdae_pipeline_pt.md
new file mode 100644
index 00000000000000..66d33ec146f0dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_large_portuguese_cased_legal_tsdae_pipeline_pt.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Portuguese sent_bert_large_portuguese_cased_legal_tsdae_pipeline pipeline BertSentenceEmbeddings from stjiris
+author: John Snow Labs
+name: sent_bert_large_portuguese_cased_legal_tsdae_pipeline
+date: 2024-09-25
+tags: [pt, open_source, pipeline, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_portuguese_cased_legal_tsdae_pipeline` is a Portuguese model originally trained by stjiris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_portuguese_cased_legal_tsdae_pipeline_pt_5.5.0_3.0_1727253371409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_portuguese_cased_legal_tsdae_pipeline_pt_5.5.0_3.0_1727253371409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_large_portuguese_cased_legal_tsdae_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_large_portuguese_cased_legal_tsdae_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_portuguese_cased_legal_tsdae_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/stjiris/bert-large-portuguese-cased-legal-tsdae
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_tagalog_base_uncased_wwm_pipeline_tl.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_tagalog_base_uncased_wwm_pipeline_tl.md
new file mode 100644
index 00000000000000..d454582e01fe82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_tagalog_base_uncased_wwm_pipeline_tl.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Tagalog sent_bert_tagalog_base_uncased_wwm_pipeline pipeline BertSentenceEmbeddings from jcblaise
+author: John Snow Labs
+name: sent_bert_tagalog_base_uncased_wwm_pipeline
+date: 2024-09-25
+tags: [tl, open_source, pipeline, onnx]
+task: Embeddings
+language: tl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_tagalog_base_uncased_wwm_pipeline` is a Tagalog model originally trained by jcblaise.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_wwm_pipeline_tl_5.5.0_3.0_1727249292087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_wwm_pipeline_tl_5.5.0_3.0_1727249292087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_tagalog_base_uncased_wwm_pipeline", lang = "tl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_tagalog_base_uncased_wwm_pipeline", lang = "tl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_tagalog_base_uncased_wwm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tl|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/jcblaise/bert-tagalog-base-uncased-WWM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_tagalog_base_uncased_wwm_tl.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_tagalog_base_uncased_wwm_tl.md
new file mode 100644
index 00000000000000..d51dd28aebdf2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_tagalog_base_uncased_wwm_tl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Tagalog sent_bert_tagalog_base_uncased_wwm BertSentenceEmbeddings from jcblaise
+author: John Snow Labs
+name: sent_bert_tagalog_base_uncased_wwm
+date: 2024-09-25
+tags: [tl, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: tl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_tagalog_base_uncased_wwm` is a Tagalog model originally trained by jcblaise.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_wwm_tl_5.5.0_3.0_1727249270927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_wwm_tl_5.5.0_3.0_1727249270927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_tagalog_base_uncased_wwm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|tl|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/jcblaise/bert-tagalog-base-uncased-WWM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bio_bert_base_spanish_wwm_cased_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bio_bert_base_spanish_wwm_cased_en.md
new file mode 100644
index 00000000000000..e6bfe710d33d2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bio_bert_base_spanish_wwm_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bio_bert_base_spanish_wwm_cased BertSentenceEmbeddings from mrojas
+author: John Snow Labs
+name: sent_bio_bert_base_spanish_wwm_cased
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bio_bert_base_spanish_wwm_cased` is a English model originally trained by mrojas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bio_bert_base_spanish_wwm_cased_en_5.5.0_3.0_1727252456840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bio_bert_base_spanish_wwm_cased_en_5.5.0_3.0_1727252456840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bio_bert_base_spanish_wwm_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/mrojas/bio-bert-base-spanish-wwm-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_biobert_italian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_biobert_italian_pipeline_en.md
new file mode 100644
index 00000000000000..2fb0f7dc3d0159
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_biobert_italian_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_biobert_italian_pipeline pipeline BertSentenceEmbeddings from marcopost-it
+author: John Snow Labs
+name: sent_biobert_italian_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_biobert_italian_pipeline` is a English model originally trained by marcopost-it.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_biobert_italian_pipeline_en_5.5.0_3.0_1727249186643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_biobert_italian_pipeline_en_5.5.0_3.0_1727249186643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_biobert_italian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_biobert_italian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_biobert_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.8 MB|
+
+## References
+
+https://huggingface.co/marcopost-it/biobert-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_cl_arabertv0_1_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_cl_arabertv0_1_base_pipeline_en.md
new file mode 100644
index 00000000000000..3eaec1d0fe89c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_cl_arabertv0_1_base_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_cl_arabertv0_1_base_pipeline pipeline BertSentenceEmbeddings from qahq
+author: John Snow Labs
+name: sent_cl_arabertv0_1_base_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_cl_arabertv0_1_base_pipeline` is a English model originally trained by qahq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_cl_arabertv0_1_base_pipeline_en_5.5.0_3.0_1727251599249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_cl_arabertv0_1_base_pipeline_en_5.5.0_3.0_1727251599249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_cl_arabertv0_1_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_cl_arabertv0_1_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_cl_arabertv0_1_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.6 MB|
+
+## References
+
+https://huggingface.co/qahq/CL-AraBERTv0.1-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_en.md
new file mode 100644
index 00000000000000..891717c5f332b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb BertSentenceEmbeddings from cxfajar197
+author: John Snow Labs
+name: sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb` is a English model originally trained by cxfajar197.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_en_5.5.0_3.0_1727234600526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_en_5.5.0_3.0_1727234600526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/cxfajar197/distilbert-base-uncased-finetuned-imdb-accelerate-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..a42686d8627174
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline pipeline BertSentenceEmbeddings from cxfajar197
+author: John Snow Labs
+name: sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline` is a English model originally trained by cxfajar197.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline_en_5.5.0_3.0_1727234634556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline_en_5.5.0_3.0_1727234634556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbert_base_uncased_finetuned_imdb_accelerate_finetuned_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.6 MB|
+
+## References
+
+https://huggingface.co/cxfajar197/distilbert-base-uncased-finetuned-imdb-accelerate-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_dummy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_dummy_pipeline_en.md
new file mode 100644
index 00000000000000..dfa357963c3cfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_dummy_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_dummy_pipeline pipeline BertSentenceEmbeddings from knight7561
+author: John Snow Labs
+name: sent_dummy_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_dummy_pipeline` is a English model originally trained by knight7561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_dummy_pipeline_en_5.5.0_3.0_1727252621212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_dummy_pipeline_en_5.5.0_3.0_1727252621212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_dummy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_dummy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_dummy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/knight7561/dummy
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_fae_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_fae_en.md
new file mode 100644
index 00000000000000..93fe1269803402
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_fae_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_fae BertSentenceEmbeddings from sereneWithU
+author: John Snow Labs
+name: sent_fae
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_fae` is a English model originally trained by sereneWithU.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_fae_en_5.5.0_3.0_1727252735434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_fae_en_5.5.0_3.0_1727252735434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_fae|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/sereneWithU/FAE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_fae_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_fae_pipeline_en.md
new file mode 100644
index 00000000000000..035a0338e697a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_fae_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_fae_pipeline pipeline BertSentenceEmbeddings from sereneWithU
+author: John Snow Labs
+name: sent_fae_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_fae_pipeline` is a English model originally trained by sereneWithU.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_fae_pipeline_en_5.5.0_3.0_1727252808462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_fae_pipeline_en_5.5.0_3.0_1727252808462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_fae_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_fae_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_fae_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/sereneWithU/FAE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_fine_tune_bert_mlm_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_fine_tune_bert_mlm_en.md
new file mode 100644
index 00000000000000..840b4446718487
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_fine_tune_bert_mlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_fine_tune_bert_mlm BertSentenceEmbeddings from mjavadmt
+author: John Snow Labs
+name: sent_fine_tune_bert_mlm
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_fine_tune_bert_mlm` is a English model originally trained by mjavadmt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_fine_tune_bert_mlm_en_5.5.0_3.0_1727230529238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_fine_tune_bert_mlm_en_5.5.0_3.0_1727230529238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_fine_tune_bert_mlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.4 MB|
+
+## References
+
+https://huggingface.co/mjavadmt/fine-tune-BERT-MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_fine_tune_bert_mlm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_fine_tune_bert_mlm_pipeline_en.md
new file mode 100644
index 00000000000000..24027cf165f4da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_fine_tune_bert_mlm_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_fine_tune_bert_mlm_pipeline pipeline BertSentenceEmbeddings from mjavadmt
+author: John Snow Labs
+name: sent_fine_tune_bert_mlm_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_fine_tune_bert_mlm_pipeline` is a English model originally trained by mjavadmt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_fine_tune_bert_mlm_pipeline_en_5.5.0_3.0_1727230560544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_fine_tune_bert_mlm_pipeline_en_5.5.0_3.0_1727230560544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_fine_tune_bert_mlm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_fine_tune_bert_mlm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_fine_tune_bert_mlm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|607.0 MB|
+
+## References
+
+https://huggingface.co/mjavadmt/fine-tune-BERT-MLM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_guidebias_bert_base_uncased_gender_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_guidebias_bert_base_uncased_gender_en.md
new file mode 100644
index 00000000000000..84844671ddba3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_guidebias_bert_base_uncased_gender_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_guidebias_bert_base_uncased_gender BertSentenceEmbeddings from squiduu
+author: John Snow Labs
+name: sent_guidebias_bert_base_uncased_gender
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_guidebias_bert_base_uncased_gender` is a English model originally trained by squiduu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_guidebias_bert_base_uncased_gender_en_5.5.0_3.0_1727230418497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_guidebias_bert_base_uncased_gender_en_5.5.0_3.0_1727230418497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_guidebias_bert_base_uncased_gender|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/squiduu/guidebias-bert-base-uncased-gender
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_gujibert_jian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_gujibert_jian_pipeline_en.md
new file mode 100644
index 00000000000000..a9492e20a36300
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_gujibert_jian_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_gujibert_jian_pipeline pipeline BertSentenceEmbeddings from hsc748NLP
+author: John Snow Labs
+name: sent_gujibert_jian_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_gujibert_jian_pipeline` is a English model originally trained by hsc748NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_gujibert_jian_pipeline_en_5.5.0_3.0_1727252975988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_gujibert_jian_pipeline_en_5.5.0_3.0_1727252975988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_gujibert_jian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_gujibert_jian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_gujibert_jian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|420.8 MB|
+
+## References
+
+https://huggingface.co/hsc748NLP/GujiBERT_jian
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_marathi_dev_bert_hi.md b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_marathi_dev_bert_hi.md
new file mode 100644
index 00000000000000..4a418b158b4128
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_marathi_dev_bert_hi.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Hindi sent_hindi_marathi_dev_bert BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_hindi_marathi_dev_bert
+date: 2024-09-25
+tags: [hi, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_marathi_dev_bert` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_marathi_dev_bert_hi_5.5.0_3.0_1727252023290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_marathi_dev_bert_hi_5.5.0_3.0_1727252023290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_marathi_dev_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|890.7 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-marathi-dev-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_marathi_dev_bert_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_marathi_dev_bert_pipeline_hi.md
new file mode 100644
index 00000000000000..efc034c3aeb5ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_marathi_dev_bert_pipeline_hi.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Hindi sent_hindi_marathi_dev_bert_pipeline pipeline BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_hindi_marathi_dev_bert_pipeline
+date: 2024-09-25
+tags: [hi, open_source, pipeline, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_marathi_dev_bert_pipeline` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_marathi_dev_bert_pipeline_hi_5.5.0_3.0_1727252074552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_marathi_dev_bert_pipeline_hi_5.5.0_3.0_1727252074552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_hindi_marathi_dev_bert_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_hindi_marathi_dev_bert_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_marathi_dev_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|891.2 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-marathi-dev-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_wordpiece_bert_test_2m_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_wordpiece_bert_test_2m_en.md
new file mode 100644
index 00000000000000..6ba71c52633d2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_wordpiece_bert_test_2m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_hindi_wordpiece_bert_test_2m BertSentenceEmbeddings from rg1683
+author: John Snow Labs
+name: sent_hindi_wordpiece_bert_test_2m
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_wordpiece_bert_test_2m` is a English model originally trained by rg1683.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_wordpiece_bert_test_2m_en_5.5.0_3.0_1727249119712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_wordpiece_bert_test_2m_en_5.5.0_3.0_1727249119712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_wordpiece_bert_test_2m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|377.7 MB|
+
+## References
+
+https://huggingface.co/rg1683/hindi_wordpiece_bert_test_2m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_wordpiece_bert_test_2m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_wordpiece_bert_test_2m_pipeline_en.md
new file mode 100644
index 00000000000000..333a4b450b0cda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_hindi_wordpiece_bert_test_2m_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_hindi_wordpiece_bert_test_2m_pipeline pipeline BertSentenceEmbeddings from rg1683
+author: John Snow Labs
+name: sent_hindi_wordpiece_bert_test_2m_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_wordpiece_bert_test_2m_pipeline` is a English model originally trained by rg1683.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_wordpiece_bert_test_2m_pipeline_en_5.5.0_3.0_1727249140694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_wordpiece_bert_test_2m_pipeline_en_5.5.0_3.0_1727249140694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_hindi_wordpiece_bert_test_2m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_hindi_wordpiece_bert_test_2m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_wordpiece_bert_test_2m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|378.3 MB|
+
+## References
+
+https://huggingface.co/rg1683/hindi_wordpiece_bert_test_2m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_javanese_bert_small_jv.md b/docs/_posts/ahmedlone127/2024-09-25-sent_javanese_bert_small_jv.md
new file mode 100644
index 00000000000000..05cb9c67205aa3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_javanese_bert_small_jv.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Javanese sent_javanese_bert_small BertSentenceEmbeddings from w11wo
+author: John Snow Labs
+name: sent_javanese_bert_small
+date: 2024-09-25
+tags: [jv, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: jv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_javanese_bert_small` is a Javanese model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_javanese_bert_small_jv_5.5.0_3.0_1727251545296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_javanese_bert_small_jv_5.5.0_3.0_1727251545296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_knowbias_bert_base_uncased_gender|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/squiduu/knowbias-bert-base-uncased-gender
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_knowbias_bert_base_uncased_gender_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_knowbias_bert_base_uncased_gender_pipeline_en.md
new file mode 100644
index 00000000000000..edc3ba98ab60e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_knowbias_bert_base_uncased_gender_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_knowbias_bert_base_uncased_gender_pipeline pipeline BertSentenceEmbeddings from squiduu
+author: John Snow Labs
+name: sent_knowbias_bert_base_uncased_gender_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_knowbias_bert_base_uncased_gender_pipeline` is a English model originally trained by squiduu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_knowbias_bert_base_uncased_gender_pipeline_en_5.5.0_3.0_1727252482647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_knowbias_bert_base_uncased_gender_pipeline_en_5.5.0_3.0_1727252482647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_knowbias_bert_base_uncased_gender_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_knowbias_bert_base_uncased_gender_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_knowbias_bert_base_uncased_gender_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/squiduu/knowbias-bert-base-uncased-gender
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_marathi_bert_smaller_mr.md b/docs/_posts/ahmedlone127/2024-09-25-sent_marathi_bert_smaller_mr.md
new file mode 100644
index 00000000000000..b2b5934f5b7b99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_marathi_bert_smaller_mr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Marathi sent_marathi_bert_smaller BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_marathi_bert_smaller
+date: 2024-09-25
+tags: [mr, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_marathi_bert_smaller` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_marathi_bert_smaller_mr_5.5.0_3.0_1727252791211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_marathi_bert_smaller_mr_5.5.0_3.0_1727252791211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_medruberttiny2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ru|
+|Size:|109.1 MB|
+
+## References
+
+https://huggingface.co/DmitryPogrebnoy/MedRuBertTiny2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_miem_scibert_linguistic_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_miem_scibert_linguistic_en.md
new file mode 100644
index 00000000000000..f38947d93d9587
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_miem_scibert_linguistic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_miem_scibert_linguistic BertSentenceEmbeddings from miemBertProject
+author: John Snow Labs
+name: sent_miem_scibert_linguistic
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_miem_scibert_linguistic` is a English model originally trained by miemBertProject.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_miem_scibert_linguistic_en_5.5.0_3.0_1727249254687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_miem_scibert_linguistic_en_5.5.0_3.0_1727249254687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_miem_scibert_linguistic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|657.4 MB|
+
+## References
+
+https://huggingface.co/miemBertProject/miem-scibert-linguistic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline_en.md
new file mode 100644
index 00000000000000..609d5af33a5f92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline pipeline BertSentenceEmbeddings from nreimers
+author: John Snow Labs
+name: sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline` is a English model originally trained by nreimers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline_en_5.5.0_3.0_1727230836299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline_en_5.5.0_3.0_1727230836299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_minilmv2_l6_h384_distilled_from_bert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.7 MB|
+
+## References
+
+https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_mitre_bert_small_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_mitre_bert_small_en.md
new file mode 100644
index 00000000000000..366f761751cd5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_mitre_bert_small_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_mitre_bert_small BertSentenceEmbeddings from bencyc1129
+author: John Snow Labs
+name: sent_mitre_bert_small
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_mitre_bert_small` is a English model originally trained by bencyc1129.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mitre_bert_small_en_5.5.0_3.0_1727234422468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mitre_bert_small_en_5.5.0_3.0_1727234422468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mitre_bert_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|108.5 MB|
+
+## References
+
+https://huggingface.co/bencyc1129/mitre-bert-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_mitre_bert_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_mitre_bert_small_pipeline_en.md
new file mode 100644
index 00000000000000..859da057a86d43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_mitre_bert_small_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_mitre_bert_small_pipeline pipeline BertSentenceEmbeddings from bencyc1129
+author: John Snow Labs
+name: sent_mitre_bert_small_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_mitre_bert_small_pipeline` is a English model originally trained by bencyc1129.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mitre_bert_small_pipeline_en_5.5.0_3.0_1727234427869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mitre_bert_small_pipeline_en_5.5.0_3.0_1727234427869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_mitre_bert_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_mitre_bert_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mitre_bert_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|109.1 MB|
+
+## References
+
+https://huggingface.co/bencyc1129/mitre-bert-small
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_nepal_bhasa_bert_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_nepal_bhasa_bert_en.md
new file mode 100644
index 00000000000000..0f1623707e7dec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_nepal_bhasa_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_nepal_bhasa_bert BertSentenceEmbeddings from searchfind
+author: John Snow Labs
+name: sent_nepal_bhasa_bert
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_nepal_bhasa_bert` is a English model originally trained by searchfind.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_nepal_bhasa_bert_en_5.5.0_3.0_1727253496987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_nepal_bhasa_bert_en_5.5.0_3.0_1727253496987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_nepal_bhasa_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/searchfind/New_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_nepal_bhasa_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_nepal_bhasa_bert_pipeline_en.md
new file mode 100644
index 00000000000000..a3c5e7b1ccfd83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_nepal_bhasa_bert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_nepal_bhasa_bert_pipeline pipeline BertSentenceEmbeddings from searchfind
+author: John Snow Labs
+name: sent_nepal_bhasa_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_nepal_bhasa_bert_pipeline` is a English model originally trained by searchfind.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_nepal_bhasa_bert_pipeline_en_5.5.0_3.0_1727253519790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_nepal_bhasa_bert_pipeline_en_5.5.0_3.0_1727253519790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_nepal_bhasa_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_nepal_bhasa_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_nepal_bhasa_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.2 MB|
+
+## References
+
+https://huggingface.co/searchfind/New_BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_norbert_no.md b/docs/_posts/ahmedlone127/2024-09-25-sent_norbert_no.md
new file mode 100644
index 00000000000000..4549a29e9105b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_norbert_no.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Norwegian sent_norbert BertSentenceEmbeddings from ltg
+author: John Snow Labs
+name: sent_norbert
+date: 2024-09-25
+tags: ["no", open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: "no"
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_norbert` is a Norwegian model originally trained by ltg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_norbert_no_5.5.0_3.0_1727253356669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_norbert_no_5.5.0_3.0_1727253356669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_prompt_finetune|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/AndyJ/prompt_finetune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_prompt_finetune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_prompt_finetune_pipeline_en.md
new file mode 100644
index 00000000000000..a7f20c53e38842
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_prompt_finetune_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_prompt_finetune_pipeline pipeline BertSentenceEmbeddings from AndyJ
+author: John Snow Labs
+name: sent_prompt_finetune_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_prompt_finetune_pipeline` is a English model originally trained by AndyJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_prompt_finetune_pipeline_en_5.5.0_3.0_1727234749748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_prompt_finetune_pipeline_en_5.5.0_3.0_1727234749748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_prompt_finetune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_prompt_finetune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_prompt_finetune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.6 MB|
+
+## References
+
+https://huggingface.co/AndyJ/prompt_finetune
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_protaugment_lm_clinic150_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_protaugment_lm_clinic150_en.md
new file mode 100644
index 00000000000000..64f095398e66c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_protaugment_lm_clinic150_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_protaugment_lm_clinic150 BertSentenceEmbeddings from tdopierre
+author: John Snow Labs
+name: sent_protaugment_lm_clinic150
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_protaugment_lm_clinic150` is a English model originally trained by tdopierre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_clinic150_en_5.5.0_3.0_1727235126826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_clinic150_en_5.5.0_3.0_1727235126826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_protaugment_lm_clinic150|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/tdopierre/ProtAugment-LM-Clinic150
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_protaugment_lm_clinic150_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_protaugment_lm_clinic150_pipeline_en.md
new file mode 100644
index 00000000000000..945a985e99a0f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_protaugment_lm_clinic150_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_protaugment_lm_clinic150_pipeline pipeline BertSentenceEmbeddings from tdopierre
+author: John Snow Labs
+name: sent_protaugment_lm_clinic150_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_protaugment_lm_clinic150_pipeline` is a English model originally trained by tdopierre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_clinic150_pipeline_en_5.5.0_3.0_1727235147029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_clinic150_pipeline_en_5.5.0_3.0_1727235147029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_protaugment_lm_clinic150_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_protaugment_lm_clinic150_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_protaugment_lm_clinic150_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.0 MB|
+
+## References
+
+https://huggingface.co/tdopierre/ProtAugment-LM-Clinic150
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_retromae_msmarco_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_retromae_msmarco_en.md
new file mode 100644
index 00000000000000..e04448e320e66b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_retromae_msmarco_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_retromae_msmarco BertSentenceEmbeddings from Shitao
+author: John Snow Labs
+name: sent_retromae_msmarco
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_retromae_msmarco` is a English model originally trained by Shitao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_retromae_msmarco_en_5.5.0_3.0_1727230352092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_retromae_msmarco_en_5.5.0_3.0_1727230352092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_retromae_msmarco|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/Shitao/RetroMAE_MSMARCO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_retromae_msmarco_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_retromae_msmarco_pipeline_en.md
new file mode 100644
index 00000000000000..229997ba616906
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_retromae_msmarco_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_retromae_msmarco_pipeline pipeline BertSentenceEmbeddings from Shitao
+author: John Snow Labs
+name: sent_retromae_msmarco_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_retromae_msmarco_pipeline` is a English model originally trained by Shitao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_retromae_msmarco_pipeline_en_5.5.0_3.0_1727230372703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_retromae_msmarco_pipeline_en_5.5.0_3.0_1727230372703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_retromae_msmarco_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_retromae_msmarco_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_retromae_msmarco_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/Shitao/RetroMAE_MSMARCO
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_scholarbert_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_scholarbert_en.md
new file mode 100644
index 00000000000000..08afc7e3ba1e64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_scholarbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_scholarbert BertSentenceEmbeddings from globuslabs
+author: John Snow Labs
+name: sent_scholarbert
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_scholarbert` is a English model originally trained by globuslabs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_scholarbert_en_5.5.0_3.0_1727253411352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_scholarbert_en_5.5.0_3.0_1727253411352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_scholarbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/globuslabs/ScholarBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_viz_wiz_bert_base_uncased_f32_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_viz_wiz_bert_base_uncased_f32_en.md
new file mode 100644
index 00000000000000..4942df83b4b9d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_viz_wiz_bert_base_uncased_f32_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_viz_wiz_bert_base_uncased_f32 BertSentenceEmbeddings from eisenjulian
+author: John Snow Labs
+name: sent_viz_wiz_bert_base_uncased_f32
+date: 2024-09-25
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_viz_wiz_bert_base_uncased_f32` is a English model originally trained by eisenjulian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_viz_wiz_bert_base_uncased_f32_en_5.5.0_3.0_1727234629727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_viz_wiz_bert_base_uncased_f32_en_5.5.0_3.0_1727234629727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_viz_wiz_bert_base_uncased_f32|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/eisenjulian/viz-wiz-bert-base-uncased_f32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_viz_wiz_bert_base_uncased_f32_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_viz_wiz_bert_base_uncased_f32_pipeline_en.md
new file mode 100644
index 00000000000000..465446701401cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_viz_wiz_bert_base_uncased_f32_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_viz_wiz_bert_base_uncased_f32_pipeline pipeline BertSentenceEmbeddings from eisenjulian
+author: John Snow Labs
+name: sent_viz_wiz_bert_base_uncased_f32_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_viz_wiz_bert_base_uncased_f32_pipeline` is a English model originally trained by eisenjulian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_viz_wiz_bert_base_uncased_f32_pipeline_en_5.5.0_3.0_1727234650812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_viz_wiz_bert_base_uncased_f32_pipeline_en_5.5.0_3.0_1727234650812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_viz_wiz_bert_base_uncased_f32_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_viz_wiz_bert_base_uncased_f32_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_viz_wiz_bert_base_uncased_f32_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/eisenjulian/viz-wiz-bert-base-uncased_f32
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sentiment_ita_en.md b/docs/_posts/ahmedlone127/2024-09-25-sentiment_ita_en.md
new file mode 100644
index 00000000000000..e01fbd133b19d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sentiment_ita_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_ita BertForSequenceClassification from luigisaetta
+author: John Snow Labs
+name: sentiment_ita
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_ita` is a English model originally trained by luigisaetta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_ita_en_5.5.0_3.0_1727222587188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_ita_en_5.5.0_3.0_1727222587188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_ita|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/luigisaetta/sentiment_ita
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sentiment_ita_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sentiment_ita_pipeline_en.md
new file mode 100644
index 00000000000000..2cad2cb329804d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sentiment_ita_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_ita_pipeline pipeline BertForSequenceClassification from luigisaetta
+author: John Snow Labs
+name: sentiment_ita_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_ita_pipeline` is a English model originally trained by luigisaetta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_ita_pipeline_en_5.5.0_3.0_1727222608612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_ita_pipeline_en_5.5.0_3.0_1727222608612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_ita_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_ita_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_ita_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/luigisaetta/sentiment_ita
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-shulchan_aruch_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-shulchan_aruch_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..623334a386b08c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-shulchan_aruch_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English shulchan_aruch_classifier_pipeline pipeline BertForSequenceClassification from sivan22
+author: John Snow Labs
+name: shulchan_aruch_classifier_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`shulchan_aruch_classifier_pipeline` is a English model originally trained by sivan22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/shulchan_aruch_classifier_pipeline_en_5.5.0_3.0_1727273346179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/shulchan_aruch_classifier_pipeline_en_5.5.0_3.0_1727273346179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("shulchan_aruch_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("shulchan_aruch_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|shulchan_aruch_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|692.2 MB|
+
+## References
+
+https://huggingface.co/sivan22/shulchan-aruch-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-snli_test_100k_en.md b/docs/_posts/ahmedlone127/2024-09-25-snli_test_100k_en.md
new file mode 100644
index 00000000000000..5aa9d0263afbc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-snli_test_100k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English snli_test_100k BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: snli_test_100k
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_test_100k` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_test_100k_en_5.5.0_3.0_1727278442647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_test_100k_en_5.5.0_3.0_1727278442647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_test_100k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/grace-pro/snli_test_100k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-snli_test_100k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-snli_test_100k_pipeline_en.md
new file mode 100644
index 00000000000000..fc386b85fbc191
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-snli_test_100k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English snli_test_100k_pipeline pipeline BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: snli_test_100k_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_test_100k_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_test_100k_pipeline_en_5.5.0_3.0_1727278464665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_test_100k_pipeline_en_5.5.0_3.0_1727278464665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("snli_test_100k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("snli_test_100k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_test_100k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/grace-pro/snli_test_100k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-star_predictor_en.md b/docs/_posts/ahmedlone127/2024-09-25-star_predictor_en.md
new file mode 100644
index 00000000000000..b67a2019095d35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-star_predictor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English star_predictor BertForSequenceClassification from Yanni8
+author: John Snow Labs
+name: star_predictor
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`star_predictor` is a English model originally trained by Yanni8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/star_predictor_en_5.5.0_3.0_1727268038749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/star_predictor_en_5.5.0_3.0_1727268038749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|star_predictor|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Yanni8/star-predictor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-stereoset_bert_base_uncased_classifieronly_en.md b/docs/_posts/ahmedlone127/2024-09-25-stereoset_bert_base_uncased_classifieronly_en.md
new file mode 100644
index 00000000000000..2ffc06ce131289
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-stereoset_bert_base_uncased_classifieronly_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stereoset_bert_base_uncased_classifieronly BertForSequenceClassification from henryscheible
+author: John Snow Labs
+name: stereoset_bert_base_uncased_classifieronly
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stereoset_bert_base_uncased_classifieronly` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stereoset_bert_base_uncased_classifieronly_en_5.5.0_3.0_1727286038183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stereoset_bert_base_uncased_classifieronly_en_5.5.0_3.0_1727286038183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stereoset_bert_base_uncased_classifieronly|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/henryscheible/stereoset_bert-base-uncased_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-stsb_vn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-stsb_vn_pipeline_en.md
new file mode 100644
index 00000000000000..09fb502aac397d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-stsb_vn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stsb_vn_pipeline pipeline BertForSequenceClassification from ntrnghia
+author: John Snow Labs
+name: stsb_vn_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_vn_pipeline` is a English model originally trained by ntrnghia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_vn_pipeline_en_5.5.0_3.0_1727266098699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_vn_pipeline_en_5.5.0_3.0_1727266098699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stsb_vn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stsb_vn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_vn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/ntrnghia/stsb_vn
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sustainable_finance_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sustainable_finance_bert_pipeline_en.md
new file mode 100644
index 00000000000000..16d0b1cbdbc427
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sustainable_finance_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sustainable_finance_bert_pipeline pipeline BertForSequenceClassification from Pelumioluwa
+author: John Snow Labs
+name: sustainable_finance_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sustainable_finance_bert_pipeline` is a English model originally trained by Pelumioluwa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sustainable_finance_bert_pipeline_en_5.5.0_3.0_1727262007229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sustainable_finance_bert_pipeline_en_5.5.0_3.0_1727262007229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sustainable_finance_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sustainable_finance_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sustainable_finance_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Pelumioluwa/Sustainable-Finance-BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline_en.md
new file mode 100644
index 00000000000000..2f6781c1a9d3a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline pipeline BertForSequenceClassification from ajtamayoh
+author: John Snow Labs
+name: symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline_en_5.5.0_3.0_1727261105110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline_en_5.5.0_3.0_1727261105110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|symptoms_tonga_tonga_islands_diagnosis_sonatafyai_bert_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/Symptoms_to_Diagnosis_SonatafyAI_BERT_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-t_frex_bert_large_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-t_frex_bert_large_uncased_en.md
new file mode 100644
index 00000000000000..3ac4d20ef2381f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-t_frex_bert_large_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t_frex_bert_large_uncased BertForTokenClassification from quim-motger
+author: John Snow Labs
+name: t_frex_bert_large_uncased
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_frex_bert_large_uncased` is a English model originally trained by quim-motger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_frex_bert_large_uncased_en_5.5.0_3.0_1727271769440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_frex_bert_large_uncased_en_5.5.0_3.0_1727271769440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_frex_bert_large_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/quim-motger/t-frex-bert-large-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-teknofest_nlp_finetuned_tddi_en.md b/docs/_posts/ahmedlone127/2024-09-25-teknofest_nlp_finetuned_tddi_en.md
new file mode 100644
index 00000000000000..c32dbafc208f94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-teknofest_nlp_finetuned_tddi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English teknofest_nlp_finetuned_tddi BertForSequenceClassification from OnurSahh
+author: John Snow Labs
+name: teknofest_nlp_finetuned_tddi
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`teknofest_nlp_finetuned_tddi` is a English model originally trained by OnurSahh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/teknofest_nlp_finetuned_tddi_en_5.5.0_3.0_1727263454258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/teknofest_nlp_finetuned_tddi_en_5.5.0_3.0_1727263454258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|teknofest_nlp_finetuned_tddi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/OnurSahh/teknofest_nlp_finetuned_tddi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-teknofest_nlp_finetuned_tddi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-teknofest_nlp_finetuned_tddi_pipeline_en.md
new file mode 100644
index 00000000000000..d551da14abe8dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-teknofest_nlp_finetuned_tddi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English teknofest_nlp_finetuned_tddi_pipeline pipeline BertForSequenceClassification from OnurSahh
+author: John Snow Labs
+name: teknofest_nlp_finetuned_tddi_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`teknofest_nlp_finetuned_tddi_pipeline` is a English model originally trained by OnurSahh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/teknofest_nlp_finetuned_tddi_pipeline_en_5.5.0_3.0_1727263478896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/teknofest_nlp_finetuned_tddi_pipeline_en_5.5.0_3.0_1727263478896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("teknofest_nlp_finetuned_tddi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("teknofest_nlp_finetuned_tddi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|teknofest_nlp_finetuned_tddi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/OnurSahh/teknofest_nlp_finetuned_tddi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tempclin_biobertpt_clin_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-25-tempclin_biobertpt_clin_pipeline_pt.md
new file mode 100644
index 00000000000000..57abc1c5f046d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tempclin_biobertpt_clin_pipeline_pt.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Portuguese tempclin_biobertpt_clin_pipeline pipeline BertForTokenClassification from pucpr-br
+author: John Snow Labs
+name: tempclin_biobertpt_clin_pipeline
+date: 2024-09-25
+tags: [pt, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tempclin_biobertpt_clin_pipeline` is a Portuguese model originally trained by pucpr-br.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tempclin_biobertpt_clin_pipeline_pt_5.5.0_3.0_1727271160027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tempclin_biobertpt_clin_pipeline_pt_5.5.0_3.0_1727271160027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tempclin_biobertpt_clin_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tempclin_biobertpt_clin_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tempclin_biobertpt_clin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/pucpr-br/tempclin-biobertpt-clin
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_hub_push_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_hub_push_en.md
new file mode 100644
index 00000000000000..c5bdc6fe939a1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_hub_push_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_hub_push BertForSequenceClassification from Tonita
+author: John Snow Labs
+name: test_hub_push
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_hub_push` is a English model originally trained by Tonita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_hub_push_en_5.5.0_3.0_1727287918238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_hub_push_en_5.5.0_3.0_1727287918238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_hub_push|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Tonita/test-hub-push
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_ner_rundi_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_ner_rundi_en.md
new file mode 100644
index 00000000000000..8194cd2dfb7c0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_ner_rundi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_ner_rundi BertForTokenClassification from lltala
+author: John Snow Labs
+name: test_ner_rundi
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_ner_rundi` is a English model originally trained by lltala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_ner_rundi_en_5.5.0_3.0_1727283624953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_ner_rundi_en_5.5.0_3.0_1727283624953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_ner_rundi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lltala/test-ner-run
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_trainer_gaito_20_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_gaito_20_en.md
new file mode 100644
index 00000000000000..53b6148a3b323e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_gaito_20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainer_gaito_20 BertForSequenceClassification from gaito-20
+author: John Snow Labs
+name: test_trainer_gaito_20
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_gaito_20` is a English model originally trained by gaito-20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_gaito_20_en_5.5.0_3.0_1727269856481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_gaito_20_en_5.5.0_3.0_1727269856481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_gaito_20|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/gaito-20/test-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_trainer_gaito_20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_gaito_20_pipeline_en.md
new file mode 100644
index 00000000000000..5527c02fcc2f8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_gaito_20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainer_gaito_20_pipeline pipeline BertForSequenceClassification from gaito-20
+author: John Snow Labs
+name: test_trainer_gaito_20_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_gaito_20_pipeline` is a English model originally trained by gaito-20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_gaito_20_pipeline_en_5.5.0_3.0_1727269878752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_gaito_20_pipeline_en_5.5.0_3.0_1727269878752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainer_gaito_20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainer_gaito_20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_gaito_20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/gaito-20/test-trainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tos_bert_en.md b/docs/_posts/ahmedlone127/2024-09-25-tos_bert_en.md
new file mode 100644
index 00000000000000..8c44091d460729
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tos_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tos_bert BertForSequenceClassification from prasannadhungana8848
+author: John Snow Labs
+name: tos_bert
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tos_bert` is a English model originally trained by prasannadhungana8848.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tos_bert_en_5.5.0_3.0_1727257634525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tos_bert_en_5.5.0_3.0_1727257634525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trac2020_iben_a_bert_base_multilingual_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/socialmediaie/TRAC2020_IBEN_A_bert-base-multilingual-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ttpxhunter_en.md b/docs/_posts/ahmedlone127/2024-09-25-ttpxhunter_en.md
new file mode 100644
index 00000000000000..f3cff68eb1cf50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ttpxhunter_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ttpxhunter RoBertaForSequenceClassification from nanda-rani
+author: John Snow Labs
+name: ttpxhunter
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ttpxhunter` is a English model originally trained by nanda-rani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ttpxhunter_en_5.5.0_3.0_1727234001086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ttpxhunter_en_5.5.0_3.0_1727234001086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ttpxhunter|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.9 MB|
+
+## References
+
+https://huggingface.co/nanda-rani/TTPXHunter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ttpxhunter_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ttpxhunter_pipeline_en.md
new file mode 100644
index 00000000000000..c659eb13dca69c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ttpxhunter_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ttpxhunter_pipeline pipeline RoBertaForSequenceClassification from nanda-rani
+author: John Snow Labs
+name: ttpxhunter_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ttpxhunter_pipeline` is a English model originally trained by nanda-rani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ttpxhunter_pipeline_en_5.5.0_3.0_1727234024886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ttpxhunter_pipeline_en_5.5.0_3.0_1727234024886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ttpxhunter_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ttpxhunter_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ttpxhunter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.9 MB|
+
+## References
+
+https://huggingface.co/nanda-rani/TTPXHunter
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tupi_bert_large_portuguese_cased_multiclass_multilabel_en.md b/docs/_posts/ahmedlone127/2024-09-25-tupi_bert_large_portuguese_cased_multiclass_multilabel_en.md
new file mode 100644
index 00000000000000..3de803ba18fa28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tupi_bert_large_portuguese_cased_multiclass_multilabel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tupi_bert_large_portuguese_cased_multiclass_multilabel BertForSequenceClassification from FpOliveira
+author: John Snow Labs
+name: tupi_bert_large_portuguese_cased_multiclass_multilabel
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tupi_bert_large_portuguese_cased_multiclass_multilabel` is a English model originally trained by FpOliveira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_multiclass_multilabel_en_5.5.0_3.0_1727242185903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_multiclass_multilabel_en_5.5.0_3.0_1727242185903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tupi_bert_large_portuguese_cased_multiclass_multilabel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/FpOliveira/tupi-bert-large-portuguese-cased-multiclass-multilabel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline_en.md
new file mode 100644
index 00000000000000..40083cd3ddfb95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline pipeline BertForSequenceClassification from FpOliveira
+author: John Snow Labs
+name: tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline` is a English model originally trained by FpOliveira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline_en_5.5.0_3.0_1727242251028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline_en_5.5.0_3.0_1727242251028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tupi_bert_large_portuguese_cased_multiclass_multilabel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/FpOliveira/tupi-bert-large-portuguese-cased-multiclass-multilabel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tupy_bert_base_binary_classifier_pt.md b/docs/_posts/ahmedlone127/2024-09-25-tupy_bert_base_binary_classifier_pt.md
new file mode 100644
index 00000000000000..df3e61f6d3df3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tupy_bert_base_binary_classifier_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese tupy_bert_base_binary_classifier BertForSequenceClassification from Silly-Machine
+author: John Snow Labs
+name: tupy_bert_base_binary_classifier
+date: 2024-09-25
+tags: [pt, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tupy_bert_base_binary_classifier` is a Portuguese model originally trained by Silly-Machine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tupy_bert_base_binary_classifier_pt_5.5.0_3.0_1727268815687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tupy_bert_base_binary_classifier_pt_5.5.0_3.0_1727268815687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tupy_bert_base_binary_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/Silly-Machine/TuPy-Bert-Base-Binary-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-turkish_earthquake_tweets_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-turkish_earthquake_tweets_ner_en.md
new file mode 100644
index 00000000000000..5c947a91f14a57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-turkish_earthquake_tweets_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English turkish_earthquake_tweets_ner BertForTokenClassification from yhaslan
+author: John Snow Labs
+name: turkish_earthquake_tweets_ner
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_earthquake_tweets_ner` is a English model originally trained by yhaslan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_earthquake_tweets_ner_en_5.5.0_3.0_1727249736193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_earthquake_tweets_ner_en_5.5.0_3.0_1727249736193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_earthquake_tweets_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/yhaslan/turkish-earthquake-tweets-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-turkish_earthquake_tweets_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-turkish_earthquake_tweets_ner_pipeline_en.md
new file mode 100644
index 00000000000000..c5b885c15e02aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-turkish_earthquake_tweets_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English turkish_earthquake_tweets_ner_pipeline pipeline BertForTokenClassification from yhaslan
+author: John Snow Labs
+name: turkish_earthquake_tweets_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_earthquake_tweets_ner_pipeline` is a English model originally trained by yhaslan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_earthquake_tweets_ner_pipeline_en_5.5.0_3.0_1727249758142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_earthquake_tweets_ner_pipeline_en_5.5.0_3.0_1727249758142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("turkish_earthquake_tweets_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("turkish_earthquake_tweets_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_earthquake_tweets_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/yhaslan/turkish-earthquake-tweets-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-turkish_tiny_bert_uncased_offenseval2020_turkish_tr.md b/docs/_posts/ahmedlone127/2024-09-25-turkish_tiny_bert_uncased_offenseval2020_turkish_tr.md
new file mode 100644
index 00000000000000..42ca2361569e67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-turkish_tiny_bert_uncased_offenseval2020_turkish_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish turkish_tiny_bert_uncased_offenseval2020_turkish BertForSequenceClassification from atasoglu
+author: John Snow Labs
+name: turkish_tiny_bert_uncased_offenseval2020_turkish
+date: 2024-09-25
+tags: [tr, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_tiny_bert_uncased_offenseval2020_turkish` is a Turkish model originally trained by atasoglu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_tiny_bert_uncased_offenseval2020_turkish_tr_5.5.0_3.0_1727287835043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_tiny_bert_uncased_offenseval2020_turkish_tr_5.5.0_3.0_1727287835043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_tiny_bert_uncased_offenseval2020_turkish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|17.5 MB|
+
+## References
+
+https://huggingface.co/atasoglu/turkish-tiny-bert-uncased-offenseval2020_tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-turkishnewsanalysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-turkishnewsanalysis_pipeline_en.md
new file mode 100644
index 00000000000000..efd5f7ce5030aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-turkishnewsanalysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English turkishnewsanalysis_pipeline pipeline BertForSequenceClassification from MesutAktas
+author: John Snow Labs
+name: turkishnewsanalysis_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkishnewsanalysis_pipeline` is a English model originally trained by MesutAktas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkishnewsanalysis_pipeline_en_5.5.0_3.0_1727254244524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkishnewsanalysis_pipeline_en_5.5.0_3.0_1727254244524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("turkishnewsanalysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("turkishnewsanalysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkishnewsanalysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/MesutAktas/TurkishNewsAnalysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_empathy_miles_en.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_empathy_miles_en.md
new file mode 100644
index 00000000000000..46d13a1cecb5b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_empathy_miles_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_empathy_miles BertForSequenceClassification from rxsong
+author: John Snow Labs
+name: twitter_empathy_miles
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_empathy_miles` is a English model originally trained by rxsong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_empathy_miles_en_5.5.0_3.0_1727237576259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_empathy_miles_en_5.5.0_3.0_1727237576259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_empathy_miles|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rxsong/twitter_empathy_Miles
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_empathy_miles_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_empathy_miles_pipeline_en.md
new file mode 100644
index 00000000000000..c6e379ca9d39b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_empathy_miles_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_empathy_miles_pipeline pipeline BertForSequenceClassification from rxsong
+author: John Snow Labs
+name: twitter_empathy_miles_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_empathy_miles_pipeline` is a English model originally trained by rxsong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_empathy_miles_pipeline_en_5.5.0_3.0_1727237597262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_empathy_miles_pipeline_en_5.5.0_3.0_1727237597262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_empathy_miles_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_empathy_miles_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_empathy_miles_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rxsong/twitter_empathy_Miles
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_sentiment_analysis_en.md
new file mode 100644
index 00000000000000..644a3b5ed86236
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_sentiment_analysis_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English twitter_sentiment_analysis DistilBertForSequenceClassification from vickylin21
+author: John Snow Labs
+name: twitter_sentiment_analysis
+date: 2024-09-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_analysis` is a English model originally trained by vickylin21.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_en_5.5.0_3.0_1727277654806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_en_5.5.0_3.0_1727277654806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+References
+
+https://huggingface.co/vickylin21/Twitter_sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_xlm_roberta_base_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_xlm_roberta_base_sentiment_en.md
new file mode 100644
index 00000000000000..aee1f003300787
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_xlm_roberta_base_sentiment_en.md
@@ -0,0 +1,88 @@
+---
+layout: model
+title: twitter_xlm_roberta_base_sentiment(Cardiff nlp) (Veer)
+author: John Snow Labs
+name: twitter_xlm_roberta_base_sentiment
+date: 2024-09-25
+tags: [en, open_source, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This is a multilingual XLM-roBERTa-base model trained on ~198M tweets and finetuned for sentiment analysis. The sentiment fine-tuning was done on 8 languages (Ar, En, Fr, De, Hi, It, Sp, Pt) but it can be used for more languages (see paper for details).
+
+Paper: XLM-T: A Multilingual Language Model Toolkit for Twitter.
+Git Repo: XLM-T official repository.
+This model has been integrated into the TweetNLP library.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_en_5.5.0_3.0_1727229581766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_en_5.5.0_3.0_1727229581766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_xlm_roberta_base_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_xlm_roberta_base_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_xlm_roberta_base_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..79a96647e2c87d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_xlm_roberta_base_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_xlm_roberta_base_sentiment_pipeline pipeline XlmRoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_xlm_roberta_base_sentiment_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_xlm_roberta_base_sentiment_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_pipeline_en_5.5.0_3.0_1727229633590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_pipeline_en_5.5.0_3.0_1727229633590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_xlm_roberta_base_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_xlm_roberta_base_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_xlm_roberta_base_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-valueeval24_bert_baseline_english_en.md b/docs/_posts/ahmedlone127/2024-09-25-valueeval24_bert_baseline_english_en.md
new file mode 100644
index 00000000000000..6be7a376a61ad3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-valueeval24_bert_baseline_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English valueeval24_bert_baseline_english BertForSequenceClassification from JohannesKiesel
+author: John Snow Labs
+name: valueeval24_bert_baseline_english
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`valueeval24_bert_baseline_english` is a English model originally trained by JohannesKiesel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/valueeval24_bert_baseline_english_en_5.5.0_3.0_1727284648180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/valueeval24_bert_baseline_english_en_5.5.0_3.0_1727284648180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|valueeval24_bert_baseline_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/JohannesKiesel/valueeval24-bert-baseline-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-wb_charcs_extraction_en.md b/docs/_posts/ahmedlone127/2024-09-25-wb_charcs_extraction_en.md
new file mode 100644
index 00000000000000..46a5d83704b7fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-wb_charcs_extraction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English wb_charcs_extraction BertForTokenClassification from vkimbris
+author: John Snow Labs
+name: wb_charcs_extraction
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wb_charcs_extraction` is a English model originally trained by vkimbris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wb_charcs_extraction_en_5.5.0_3.0_1727271968225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wb_charcs_extraction_en_5.5.0_3.0_1727271968225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_inbrowser_proctor|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/lord-reso/whisper-small-inbrowser-proctor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-whisper_small_inbrowser_proctor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-whisper_small_inbrowser_proctor_pipeline_en.md
new file mode 100644
index 00000000000000..1beab7a3038901
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-whisper_small_inbrowser_proctor_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_inbrowser_proctor_pipeline pipeline WhisperForCTC from lord-reso
+author: John Snow Labs
+name: whisper_small_inbrowser_proctor_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_inbrowser_proctor_pipeline` is a English model originally trained by lord-reso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_inbrowser_proctor_pipeline_en_5.5.0_3.0_1727226850641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_inbrowser_proctor_pipeline_en_5.5.0_3.0_1727226850641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_inbrowser_proctor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_inbrowser_proctor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_inbrowser_proctor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/lord-reso/whisper-small-inbrowser-proctor
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-whisper_small_khmer_km.md b/docs/_posts/ahmedlone127/2024-09-25-whisper_small_khmer_km.md
new file mode 100644
index 00000000000000..d44045a4bb35e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-whisper_small_khmer_km.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Central Khmer, Khmer whisper_small_khmer WhisperForCTC from seanghay
+author: John Snow Labs
+name: whisper_small_khmer
+date: 2024-09-25
+tags: [km, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: km
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_khmer` is a Central Khmer, Khmer model originally trained by seanghay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_khmer_km_5.5.0_3.0_1727224018090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_khmer_km_5.5.0_3.0_1727224018090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_turkish_istech|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/muratsimsek003/whisper-small-tr-istech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-whisper_small_turkish_istech_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-whisper_small_turkish_istech_pipeline_en.md
new file mode 100644
index 00000000000000..13af8e1cb7d73f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-whisper_small_turkish_istech_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_turkish_istech_pipeline pipeline WhisperForCTC from muratsimsek003
+author: John Snow Labs
+name: whisper_small_turkish_istech_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_turkish_istech_pipeline` is a English model originally trained by muratsimsek003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_turkish_istech_pipeline_en_5.5.0_3.0_1727225973702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_turkish_istech_pipeline_en_5.5.0_3.0_1727225973702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_turkish_istech_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_turkish_istech_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_turkish_istech_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/muratsimsek003/whisper-small-tr-istech
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-whisper_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-whisper_test_pipeline_en.md
new file mode 100644
index 00000000000000..3173f244becd3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-whisper_test_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_test_pipeline pipeline WhisperForCTC from SamagraDataGov
+author: John Snow Labs
+name: whisper_test_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_test_pipeline` is a English model originally trained by SamagraDataGov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_test_pipeline_en_5.5.0_3.0_1727224748193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_test_pipeline_en_5.5.0_3.0_1727224748193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/SamagraDataGov/whisper-test
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-word2affect_dutch_pipeline_nl.md b/docs/_posts/ahmedlone127/2024-09-25-word2affect_dutch_pipeline_nl.md
new file mode 100644
index 00000000000000..a153e6ed00f871
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-word2affect_dutch_pipeline_nl.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Dutch, Flemish word2affect_dutch_pipeline pipeline BertForSequenceClassification from hplisiecki
+author: John Snow Labs
+name: word2affect_dutch_pipeline
+date: 2024-09-25
+tags: [nl, open_source, pipeline, onnx]
+task: Text Classification
+language: nl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`word2affect_dutch_pipeline` is a Dutch, Flemish model originally trained by hplisiecki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/word2affect_dutch_pipeline_nl_5.5.0_3.0_1727265918885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/word2affect_dutch_pipeline_nl_5.5.0_3.0_1727265918885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("word2affect_dutch_pipeline", lang = "nl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("word2affect_dutch_pipeline", lang = "nl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|word2affect_dutch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|nl|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/hplisiecki/word2affect_dutch
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline_en.md
new file mode 100644
index 00000000000000..189b648b0bce41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline_en_5.5.0_3.0_1727228848305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline_en_5.5.0_3.0_1727228848305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_vietnam_aug_insert_bert_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.2 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_BERT-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline_en.md
new file mode 100644
index 00000000000000..f25c16826faa25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline_en_5.5.0_3.0_1727229058216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline_en_5.5.0_3.0_1727229058216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_vietnam_aug_replace_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_marc_lewtun_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_marc_lewtun_en.md
new file mode 100644
index 00000000000000..67df13092b333c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_marc_lewtun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_lewtun XlmRoBertaForSequenceClassification from lewtun
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_lewtun
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_lewtun` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_lewtun_en_5.5.0_3.0_1727228952110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_lewtun_en_5.5.0_3.0_1727228952110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_lewtun|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|846.8 MB|
+
+## References
+
+https://huggingface.co/lewtun/xlm-roberta-base-finetuned-marc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_marc_lewtun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_marc_lewtun_pipeline_en.md
new file mode 100644
index 00000000000000..21bfed335616b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_marc_lewtun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_lewtun_pipeline pipeline XlmRoBertaForSequenceClassification from lewtun
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_lewtun_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_lewtun_pipeline` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_lewtun_pipeline_en_5.5.0_3.0_1727229035417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_lewtun_pipeline_en_5.5.0_3.0_1727229035417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_marc_lewtun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_marc_lewtun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_lewtun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|846.8 MB|
+
+## References
+
+https://huggingface.co/lewtun/xlm-roberta-base-finetuned-marc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_misogyny_sexism_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_misogyny_sexism_en.md
new file mode 100644
index 00000000000000..bc42bc1e4cba89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_misogyny_sexism_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_misogyny_sexism XlmRoBertaForSequenceClassification from annahaz
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_misogyny_sexism
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_misogyny_sexism` is a English model originally trained by annahaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_misogyny_sexism_en_5.5.0_3.0_1727229178558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_misogyny_sexism_en_5.5.0_3.0_1727229178558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_misogyny_sexism|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|877.4 MB|
+
+## References
+
+https://huggingface.co/annahaz/xlm-roberta-base-finetuned-misogyny-sexism
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_germeval21_toxic_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_germeval21_toxic_en.md
new file mode 100644
index 00000000000000..f1adcb1733557b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_germeval21_toxic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_germeval21_toxic XlmRoBertaForSequenceClassification from airKlizz
+author: John Snow Labs
+name: xlm_roberta_base_germeval21_toxic
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_germeval21_toxic` is a English model originally trained by airKlizz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_germeval21_toxic_en_5.5.0_3.0_1727228708588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_germeval21_toxic_en_5.5.0_3.0_1727228708588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_germeval21_toxic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|784.9 MB|
+
+## References
+
+https://huggingface.co/airKlizz/xlm-roberta-base-germeval21-toxic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_germeval21_toxic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_germeval21_toxic_pipeline_en.md
new file mode 100644
index 00000000000000..fc1a1fffff613f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_germeval21_toxic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_germeval21_toxic_pipeline pipeline XlmRoBertaForSequenceClassification from airKlizz
+author: John Snow Labs
+name: xlm_roberta_base_germeval21_toxic_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_germeval21_toxic_pipeline` is a English model originally trained by airKlizz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_germeval21_toxic_pipeline_en_5.5.0_3.0_1727228858238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_germeval21_toxic_pipeline_en_5.5.0_3.0_1727228858238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_germeval21_toxic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_germeval21_toxic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_germeval21_toxic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|784.9 MB|
+
+## References
+
+https://huggingface.co/airKlizz/xlm-roberta-base-germeval21-toxic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_irumozhi_pipeline_ta.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_irumozhi_pipeline_ta.md
new file mode 100644
index 00000000000000..84bdb91f16c7fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_irumozhi_pipeline_ta.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Tamil xlm_roberta_base_irumozhi_pipeline pipeline XlmRoBertaForSequenceClassification from aryaman
+author: John Snow Labs
+name: xlm_roberta_base_irumozhi_pipeline
+date: 2024-09-25
+tags: [ta, open_source, pipeline, onnx]
+task: Text Classification
+language: ta
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_irumozhi_pipeline` is a Tamil model originally trained by aryaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_irumozhi_pipeline_ta_5.5.0_3.0_1727229375117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_irumozhi_pipeline_ta_5.5.0_3.0_1727229375117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_irumozhi_pipeline", lang = "ta")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_irumozhi_pipeline", lang = "ta")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_irumozhi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ta|
+|Size:|773.9 MB|
+
+## References
+
+https://huggingface.co/aryaman/xlm-roberta-base-irumozhi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_en.md
new file mode 100644
index 00000000000000..d25974525f95f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_en_5.5.0_3.0_1727228876329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_en_5.5.0_3.0_1727228876329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|832.3 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.001_seed42_amh-esp-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..44e126a969b97b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline_en_5.5.0_3.0_1727228956743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline_en_5.5.0_3.0_1727228956743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_001_seed42_amh_esp_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|832.3 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.001_seed42_amh-esp-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_sentiment_classification_test_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_sentiment_classification_test_v2_pipeline_en.md
new file mode 100644
index 00000000000000..23d29821e92d4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_sentiment_classification_test_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_sentiment_classification_test_v2_pipeline pipeline BertForSequenceClassification from pnr-svc
+author: John Snow Labs
+name: xlm_roberta_base_sentiment_classification_test_v2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_sentiment_classification_test_v2_pipeline` is a English model originally trained by pnr-svc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sentiment_classification_test_v2_pipeline_en_5.5.0_3.0_1727266531365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sentiment_classification_test_v2_pipeline_en_5.5.0_3.0_1727266531365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_sentiment_classification_test_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_sentiment_classification_test_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_sentiment_classification_test_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/pnr-svc/xlm-roberta-base-sentiment-classification_test_V2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_sst2_10_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_sst2_10_en.md
new file mode 100644
index 00000000000000..d6cb2b93e47f3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_sst2_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_sst2_10 XlmRoBertaForSequenceClassification from tmnam20
+author: John Snow Labs
+name: xlm_roberta_base_sst2_10
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_sst2_10` is a English model originally trained by tmnam20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sst2_10_en_5.5.0_3.0_1727229679712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sst2_10_en_5.5.0_3.0_1727229679712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_sst2_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|779.4 MB|
+
+## References
+
+https://huggingface.co/tmnam20/xlm-roberta-base-sst2-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_en.md
new file mode 100644
index 00000000000000..2851ffe0f4c172
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_en_5.5.0_3.0_1727228558441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_en_5.5.0_3.0_1727228558441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-30000-tweet-sentiment-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline_en.md
new file mode 100644
index 00000000000000..3b1a9c0f206952
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline_en_5.5.0_3.0_1727228586507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline_en_5.5.0_3.0_1727228586507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_english_30000_tweet_sentiment_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-30000-tweet-sentiment-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian_en.md
new file mode 100644
index 00000000000000..c5130f4a59b646
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian_en_5.5.0_3.0_1727228710743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_italian_30000_tweet_sentiment_italian_en_5.5.0_3.0_1727228710743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_classifier_base_mrpc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|787.7 MB|
+
+## References
+
+References
+
+- https://huggingface.co/Intel/xlm-roberta-base-mrpc
+- https://paperswithcode.com/sota?task=Text+Classification&dataset=GLUE+MRPC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlmroberta_classifier_base_mrpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlmroberta_classifier_base_mrpc_pipeline_en.md
new file mode 100644
index 00000000000000..c21f16728e31de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlmroberta_classifier_base_mrpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmroberta_classifier_base_mrpc_pipeline pipeline XlmRoBertaForSequenceClassification from Intel
+author: John Snow Labs
+name: xlmroberta_classifier_base_mrpc_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmroberta_classifier_base_mrpc_pipeline` is a English model originally trained by Intel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_classifier_base_mrpc_pipeline_en_5.5.0_3.0_1727230042885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_classifier_base_mrpc_pipeline_en_5.5.0_3.0_1727230042885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_classifier_base_mrpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_classifier_base_mrpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_classifier_base_mrpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|787.8 MB|
+
+## References
+
+https://huggingface.co/Intel/xlm-roberta-base-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-yahoo1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-yahoo1_pipeline_en.md
new file mode 100644
index 00000000000000..9bfc9ab142eec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-yahoo1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English yahoo1_pipeline pipeline BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: yahoo1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yahoo1_pipeline` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yahoo1_pipeline_en_5.5.0_3.0_1727272725736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yahoo1_pipeline_en_5.5.0_3.0_1727272725736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yahoo1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yahoo1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yahoo1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Lumos/yahoo1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
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+---
+layout: model
+title: English yahoo2_pipeline pipeline BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: yahoo2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yahoo2_pipeline` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yahoo2_pipeline_en_5.5.0_3.0_1727287225807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yahoo2_pipeline_en_5.5.0_3.0_1727287225807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yahoo2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yahoo2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yahoo2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Lumos/yahoo2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
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