diff --git a/docs/_posts/ahmedlone127/2023-09-12-20split_dataset_en.md b/docs/_posts/ahmedlone127/2023-09-12-20split_dataset_en.md
new file mode 100644
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@@ -0,0 +1,93 @@
+---
+layout: model
+title: English 20split_dataset BertEmbeddings from Billwzl
+author: John Snow Labs
+name: 20split_dataset
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`20split_dataset` is a English model originally trained by Billwzl.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20split_dataset_en_5.1.1_3.0_1694558868282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20split_dataset_en_5.1.1_3.0_1694558868282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("20split_dataset","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("20split_dataset", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|20split_dataset|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/Billwzl/20split_dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-abena_base_akuapem_twi_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-abena_base_akuapem_twi_cased_en.md
new file mode 100644
index 00000000000000..3b52b9a141e7c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-abena_base_akuapem_twi_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English abena_base_akuapem_twi_cased BertEmbeddings from Ghana-NLP
+author: John Snow Labs
+name: abena_base_akuapem_twi_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`abena_base_akuapem_twi_cased` is a English model originally trained by Ghana-NLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abena_base_akuapem_twi_cased_en_5.1.1_3.0_1694558470329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abena_base_akuapem_twi_cased_en_5.1.1_3.0_1694558470329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("abena_base_akuapem_twi_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("abena_base_akuapem_twi_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abena_base_akuapem_twi_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.5 MB|
+
+## References
+
+https://huggingface.co/Ghana-NLP/abena-base-akuapem-twi-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-abena_base_asante_twi_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-abena_base_asante_twi_uncased_en.md
new file mode 100644
index 00000000000000..f196600033a6cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-abena_base_asante_twi_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English abena_base_asante_twi_uncased BertEmbeddings from Ghana-NLP
+author: John Snow Labs
+name: abena_base_asante_twi_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`abena_base_asante_twi_uncased` is a English model originally trained by Ghana-NLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abena_base_asante_twi_uncased_en_5.1.1_3.0_1694558682719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abena_base_asante_twi_uncased_en_5.1.1_3.0_1694558682719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("abena_base_asante_twi_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("abena_base_asante_twi_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abena_base_asante_twi_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/Ghana-NLP/abena-base-asante-twi-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-abstract_sim_query_pubmed_en.md b/docs/_posts/ahmedlone127/2023-09-12-abstract_sim_query_pubmed_en.md
new file mode 100644
index 00000000000000..934d2783451faf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-abstract_sim_query_pubmed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English abstract_sim_query_pubmed BertEmbeddings from biu-nlp
+author: John Snow Labs
+name: abstract_sim_query_pubmed
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`abstract_sim_query_pubmed` is a English model originally trained by biu-nlp.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abstract_sim_query_pubmed_en_5.1.1_3.0_1694561530585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abstract_sim_query_pubmed_en_5.1.1_3.0_1694561530585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("abstract_sim_query_pubmed","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("abstract_sim_query_pubmed", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abstract_sim_query_pubmed|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/biu-nlp/abstract-sim-query-pubmed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-abstract_sim_sentence_pubmed_en.md b/docs/_posts/ahmedlone127/2023-09-12-abstract_sim_sentence_pubmed_en.md
new file mode 100644
index 00000000000000..67b65af41b7b7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-abstract_sim_sentence_pubmed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English abstract_sim_sentence_pubmed BertEmbeddings from biu-nlp
+author: John Snow Labs
+name: abstract_sim_sentence_pubmed
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`abstract_sim_sentence_pubmed` is a English model originally trained by biu-nlp.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abstract_sim_sentence_pubmed_en_5.1.1_3.0_1694561658345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abstract_sim_sentence_pubmed_en_5.1.1_3.0_1694561658345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("abstract_sim_sentence_pubmed","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("abstract_sim_sentence_pubmed", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abstract_sim_sentence_pubmed|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/biu-nlp/abstract-sim-sentence-pubmed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ai12_mackei_en.md b/docs/_posts/ahmedlone127/2023-09-12-ai12_mackei_en.md
new file mode 100644
index 00000000000000..dd2be1f5865cf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ai12_mackei_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ai12_mackei BertEmbeddings from mackei
+author: John Snow Labs
+name: ai12_mackei
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ai12_mackei` is a English model originally trained by mackei.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai12_mackei_en_5.1.1_3.0_1694551191898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai12_mackei_en_5.1.1_3.0_1694551191898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ai12_mackei","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ai12_mackei", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai12_mackei|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/mackei/ai12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_en.md
new file mode 100644
index 00000000000000..787d76eff64468
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English akeylegalbert BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: akeylegalbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`akeylegalbert` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akeylegalbert_en_5.1.1_3.0_1694557063708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akeylegalbert_en_5.1.1_3.0_1694557063708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("akeylegalbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("akeylegalbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akeylegalbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AkeyLegalBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_inscotus_and_ledgar_14epoch_en.md b/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_inscotus_and_ledgar_14epoch_en.md
new file mode 100644
index 00000000000000..6887e299659818
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_inscotus_and_ledgar_14epoch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English akeylegalbert_inscotus_and_ledgar_14epoch BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: akeylegalbert_inscotus_and_ledgar_14epoch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`akeylegalbert_inscotus_and_ledgar_14epoch` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akeylegalbert_inscotus_and_ledgar_14epoch_en_5.1.1_3.0_1694554005394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akeylegalbert_inscotus_and_ledgar_14epoch_en_5.1.1_3.0_1694554005394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("akeylegalbert_inscotus_and_ledgar_14epoch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("akeylegalbert_inscotus_and_ledgar_14epoch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akeylegalbert_inscotus_and_ledgar_14epoch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AkeyLegalBert_inScotus_and_Ledgar_14epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_inscotus_and_ledgar_en.md b/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_inscotus_and_ledgar_en.md
new file mode 100644
index 00000000000000..9310c0c7819043
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-akeylegalbert_inscotus_and_ledgar_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English akeylegalbert_inscotus_and_ledgar BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: akeylegalbert_inscotus_and_ledgar
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`akeylegalbert_inscotus_and_ledgar` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akeylegalbert_inscotus_and_ledgar_en_5.1.1_3.0_1694553675259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akeylegalbert_inscotus_and_ledgar_en_5.1.1_3.0_1694553675259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("akeylegalbert_inscotus_and_ledgar","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("akeylegalbert_inscotus_and_ledgar", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akeylegalbert_inscotus_and_ledgar|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AkeyLegalBert_inScotus_and_Ledgar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-algarlegalbert1_large_arabertv2_en.md b/docs/_posts/ahmedlone127/2023-09-12-algarlegalbert1_large_arabertv2_en.md
new file mode 100644
index 00000000000000..d1a780f6d78143
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-algarlegalbert1_large_arabertv2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English algarlegalbert1_large_arabertv2 BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: algarlegalbert1_large_arabertv2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`algarlegalbert1_large_arabertv2` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/algarlegalbert1_large_arabertv2_en_5.1.1_3.0_1694555945058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/algarlegalbert1_large_arabertv2_en_5.1.1_3.0_1694555945058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("algarlegalbert1_large_arabertv2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("algarlegalbert1_large_arabertv2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|algarlegalbert1_large_arabertv2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AlgArLegalBert1-large-arabertv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabert256_flickr8k_en.md b/docs/_posts/ahmedlone127/2023-09-12-arabert256_flickr8k_en.md
new file mode 100644
index 00000000000000..e38d9b909ca658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabert256_flickr8k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabert256_flickr8k BertEmbeddings from jontooy
+author: John Snow Labs
+name: arabert256_flickr8k
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`arabert256_flickr8k` is a English model originally trained by jontooy.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert256_flickr8k_en_5.1.1_3.0_1694510056959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert256_flickr8k_en_5.1.1_3.0_1694510056959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabert256_flickr8k","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabert256_flickr8k", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert256_flickr8k|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|505.1 MB|
+
+## References
+
+https://huggingface.co/jontooy/AraBERT256-Flickr8k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabert32_coco_en.md b/docs/_posts/ahmedlone127/2023-09-12-arabert32_coco_en.md
new file mode 100644
index 00000000000000..c953572c2f84fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabert32_coco_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabert32_coco BertEmbeddings from jontooy
+author: John Snow Labs
+name: arabert32_coco
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`arabert32_coco` is a English model originally trained by jontooy.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert32_coco_en_5.1.1_3.0_1694509854276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert32_coco_en_5.1.1_3.0_1694509854276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabert32_coco","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabert32_coco", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert32_coco|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|505.1 MB|
+
+## References
+
+https://huggingface.co/jontooy/AraBERT32-COCO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabert_c19_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabert_c19_ar.md
new file mode 100644
index 00000000000000..3cff9a535af3ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabert_c19_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabert_c19 BertEmbeddings from moha
+author: John Snow Labs
+name: arabert_c19
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabert_c19` is a Arabic model originally trained by moha.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_c19_ar_5.1.1_3.0_1694554366327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_c19_ar_5.1.1_3.0_1694554366327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabert_c19","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabert_c19", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_c19|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/moha/arabert_c19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v1_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v1_ar.md
new file mode 100644
index 00000000000000..adf89169ecb019
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v1_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabertmo_base_v1 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v1
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v1` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v1_ar_5.1.1_3.0_1694509594398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v1_ar_5.1.1_3.0_1694509594398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v1","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v1", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v2_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v2_ar.md
new file mode 100644
index 00000000000000..3d49800c8ab1f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v2_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabertmo_base_v2 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v2
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v2` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v2_ar_5.1.1_3.0_1694509720231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v2_ar_5.1.1_3.0_1694509720231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v2","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v2", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v3_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v3_ar.md
new file mode 100644
index 00000000000000..50e019c20dcb7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v3_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabertmo_base_v3 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v3
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v3` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v3_ar_5.1.1_3.0_1694509862023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v3_ar_5.1.1_3.0_1694509862023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v3","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v3", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v4_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v4_ar.md
new file mode 100644
index 00000000000000..2fa8ff3e650214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v4_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabertmo_base_v4 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v4
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v4` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v4_ar_5.1.1_3.0_1694510028864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v4_ar_5.1.1_3.0_1694510028864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v4","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v4", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v4|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v5_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v5_ar.md
new file mode 100644
index 00000000000000..4525a6a58b56fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v5_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabertmo_base_v5 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v5
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v5` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v5_ar_5.1.1_3.0_1694510170817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v5_ar_5.1.1_3.0_1694510170817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v5","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v5", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v5|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v6_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v6_ar.md
new file mode 100644
index 00000000000000..737813848f622d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v6_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabertmo_base_v6 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v6
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v6` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v6_ar_5.1.1_3.0_1694510331239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v6_ar_5.1.1_3.0_1694510331239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v6","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v6", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v6|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v7_en.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v7_en.md
new file mode 100644
index 00000000000000..76058d595f77cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v7_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabertmo_base_v7 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v7
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v7` is a English model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v7_en_5.1.1_3.0_1694510465368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v7_en_5.1.1_3.0_1694510465368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v7","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v7", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v7|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v8_en.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v8_en.md
new file mode 100644
index 00000000000000..71772712dcccf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabertmo_base_v8 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v8
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v8` is a English model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v8_en_5.1.1_3.0_1694510601521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v8_en_5.1.1_3.0_1694510601521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v8","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v8", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v8|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v9_en.md b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v9_en.md
new file mode 100644
index 00000000000000..56b5aea49b96a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabertmo_base_v9_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabertmo_base_v9 BertEmbeddings from Ebtihal
+author: John Snow Labs
+name: arabertmo_base_v9
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`arabertmo_base_v9` is a English model originally trained by Ebtihal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertmo_base_v9_en_5.1.1_3.0_1694510724445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertmo_base_v9_en_5.1.1_3.0_1694510724445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabertmo_base_v9","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabertmo_base_v9", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabertmo_base_v9|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-arabic_quran_nahj_sahife_ar.md b/docs/_posts/ahmedlone127/2023-09-12-arabic_quran_nahj_sahife_ar.md
new file mode 100644
index 00000000000000..f0a31f7ef38fa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-arabic_quran_nahj_sahife_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arabic_quran_nahj_sahife BertEmbeddings from pourmand1376
+author: John Snow Labs
+name: arabic_quran_nahj_sahife
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arabic_quran_nahj_sahife` is a Arabic model originally trained by pourmand1376.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic_quran_nahj_sahife_ar_5.1.1_3.0_1694547794347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic_quran_nahj_sahife_ar_5.1.1_3.0_1694547794347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arabic_quran_nahj_sahife","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arabic_quran_nahj_sahife", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabic_quran_nahj_sahife|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/pourmand1376/arabic-quran-nahj-sahife
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-aristoberto_en.md b/docs/_posts/ahmedlone127/2023-09-12-aristoberto_en.md
new file mode 100644
index 00000000000000..10d30d7d6fd037
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-aristoberto_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English aristoberto BertEmbeddings from Jacobo
+author: John Snow Labs
+name: aristoberto
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`aristoberto` is a English model originally trained by Jacobo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aristoberto_en_5.1.1_3.0_1694561096224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aristoberto_en_5.1.1_3.0_1694561096224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("aristoberto","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("aristoberto", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aristoberto|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|420.1 MB|
+
+## References
+
+https://huggingface.co/Jacobo/aristoBERTo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-astrobert_en.md b/docs/_posts/ahmedlone127/2023-09-12-astrobert_en.md
new file mode 100644
index 00000000000000..ce4bf012e03b87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-astrobert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English astrobert BertEmbeddings from adsabs
+author: John Snow Labs
+name: astrobert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`astrobert` is a English model originally trained by adsabs.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/astrobert_en_5.1.1_3.0_1694554976289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/astrobert_en_5.1.1_3.0_1694554976289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("astrobert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("astrobert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|astrobert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.6 MB|
+
+## References
+
+https://huggingface.co/adsabs/astroBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-baby_model_en.md b/docs/_posts/ahmedlone127/2023-09-12-baby_model_en.md
new file mode 100644
index 00000000000000..10d7b3bacb6524
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-baby_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English baby_model BertEmbeddings from patNike
+author: John Snow Labs
+name: baby_model
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`baby_model` is a English model originally trained by patNike.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/baby_model_en_5.1.1_3.0_1694562898992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/baby_model_en_5.1.1_3.0_1694562898992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("baby_model","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("baby_model", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|baby_model|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/patNike/baby_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-berel_base_en.md b/docs/_posts/ahmedlone127/2023-09-12-berel_base_en.md
new file mode 100644
index 00000000000000..8560c91596e653
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-berel_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English berel_base BertEmbeddings from t4-project
+author: John Snow Labs
+name: berel_base
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`berel_base` is a English model originally trained by t4-project.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berel_base_en_5.1.1_3.0_1694559343111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berel_base_en_5.1.1_3.0_1694559343111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("berel_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("berel_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berel_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|690.1 MB|
+
+## References
+
+https://huggingface.co/t4-project/BEREL-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_1760_1850_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_1760_1850_en.md
new file mode 100644
index 00000000000000..520ec650e3ca92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_1760_1850_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_1760_1850 BertEmbeddings from Livingwithmachines
+author: John Snow Labs
+name: bert_1760_1850
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_1760_1850` is a English model originally trained by Livingwithmachines.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_1760_1850_en_5.1.1_3.0_1694561341595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_1760_1850_en_5.1.1_3.0_1694561341595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_1760_1850","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_1760_1850", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_1760_1850|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Livingwithmachines/bert_1760_1850
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_1760_1900_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_1760_1900_en.md
new file mode 100644
index 00000000000000..452403dad636d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_1760_1900_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_1760_1900 BertEmbeddings from Livingwithmachines
+author: John Snow Labs
+name: bert_1760_1900
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_1760_1900` is a English model originally trained by Livingwithmachines.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_1760_1900_en_5.1.1_3.0_1694561483109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_1760_1900_en_5.1.1_3.0_1694561483109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_1760_1900","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_1760_1900", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_1760_1900|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Livingwithmachines/bert_1760_1900
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_1850_1875_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_1850_1875_en.md
new file mode 100644
index 00000000000000..82f7734b491242
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_1850_1875_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_1850_1875 BertEmbeddings from Livingwithmachines
+author: John Snow Labs
+name: bert_1850_1875
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_1850_1875` is a English model originally trained by Livingwithmachines.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_1850_1875_en_5.1.1_3.0_1694561623490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_1850_1875_en_5.1.1_3.0_1694561623490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_1850_1875","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_1850_1875", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_1850_1875|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/Livingwithmachines/bert_1850_1875
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_1875_1890_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_1875_1890_en.md
new file mode 100644
index 00000000000000..f4f5507f9b6045
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_1875_1890_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_1875_1890 BertEmbeddings from Livingwithmachines
+author: John Snow Labs
+name: bert_1875_1890
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_1875_1890` is a English model originally trained by Livingwithmachines.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_1875_1890_en_5.1.1_3.0_1694561751322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_1875_1890_en_5.1.1_3.0_1694561751322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_1875_1890","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_1875_1890", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_1875_1890|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/Livingwithmachines/bert_1875_1890
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_1890_1900_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_1890_1900_en.md
new file mode 100644
index 00000000000000..9aab57cf704483
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_1890_1900_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_1890_1900 BertEmbeddings from Livingwithmachines
+author: John Snow Labs
+name: bert_1890_1900
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_1890_1900` is a English model originally trained by Livingwithmachines.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_1890_1900_en_5.1.1_3.0_1694561889659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_1890_1900_en_5.1.1_3.0_1694561889659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_1890_1900","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_1890_1900", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_1890_1900|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/Livingwithmachines/bert_1890_1900
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_ancient_chinese_zh.md b/docs/_posts/ahmedlone127/2023-09-12-bert_ancient_chinese_zh.md
new file mode 100644
index 00000000000000..3bfe0f08bfacef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_ancient_chinese_zh.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Chinese bert_ancient_chinese BertEmbeddings from Jihuai
+author: John Snow Labs
+name: bert_ancient_chinese
+date: 2023-09-12
+tags: [bert, zh, open_source, fill_mask, onnx]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.1.1
+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_ancient_chinese` is a Chinese model originally trained by Jihuai.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ancient_chinese_zh_5.1.1_3.0_1694547641835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ancient_chinese_zh_5.1.1_3.0_1694547641835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_ancient_chinese","zh") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_ancient_chinese", "zh")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ancient_chinese|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|430.5 MB|
+
+## References
+
+https://huggingface.co/Jihuai/bert-ancient-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_10lang_cased_xx.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_10lang_cased_xx.md
new file mode 100644
index 00000000000000..630eef5ec4eeb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_10lang_cased_xx.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Multilingual bert_base_10lang_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_10lang_cased
+date: 2023-09-12
+tags: [bert, xx, open_source, fill_mask, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.1.1
+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_10lang_cased` is a Multilingual model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_10lang_cased_xx_5.1.1_3.0_1694549523236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_10lang_cased_xx_5.1.1_3.0_1694549523236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_10lang_cased","xx") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_10lang_cased", "xx")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_10lang_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|514.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-10lang-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_15lang_cased_xx.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_15lang_cased_xx.md
new file mode 100644
index 00000000000000..63be7c86770505
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_15lang_cased_xx.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Multilingual bert_base_15lang_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_15lang_cased
+date: 2023-09-12
+tags: [bert, xx, open_source, fill_mask, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.1.1
+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_15lang_cased` is a Multilingual model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_15lang_cased_xx_5.1.1_3.0_1694549707123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_15lang_cased_xx_5.1.1_3.0_1694549707123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_15lang_cased","xx") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_15lang_cased", "xx")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_15lang_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|526.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-15lang-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_25lang_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_25lang_cased_en.md
new file mode 100644
index 00000000000000..c84718c61a1780
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_25lang_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_25lang_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_25lang_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_25lang_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_25lang_cased_en_5.1.1_3.0_1694549898376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_25lang_cased_en_5.1.1_3.0_1694549898376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_25lang_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_25lang_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_25lang_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|565.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-25lang-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_divehi_v2_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_divehi_v2_en.md
new file mode 100644
index 00000000000000..5f0da46f695097
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_divehi_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_divehi_v2 BertEmbeddings from mahfooz
+author: John Snow Labs
+name: bert_base_cased_divehi_v2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_cased_divehi_v2` is a English model originally trained by mahfooz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_divehi_v2_en_5.1.1_3.0_1694549387188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_divehi_v2_en_5.1.1_3.0_1694549387188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_cased_divehi_v2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_cased_divehi_v2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_divehi_v2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/mahfooz/bert-base-cased-dv-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_finetuned_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_finetuned_en.md
new file mode 100644
index 00000000000000..612e93eb431eda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_finetuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_finetuned BertEmbeddings from GusNicho
+author: John Snow Labs
+name: bert_base_cased_finetuned
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_cased_finetuned` is a English model originally trained by GusNicho.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_en_5.1.1_3.0_1694559327612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_en_5.1.1_3.0_1694559327612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_cased_finetuned","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_cased_finetuned", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-bert_base_cased_test_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_test_en.md
new file mode 100644
index 00000000000000..6257d2040102f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_cased_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_test BertEmbeddings from chenyu313
+author: John Snow Labs
+name: bert_base_cased_test
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_cased_test` is a English model originally trained by chenyu313.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_test_en_5.1.1_3.0_1694554576959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_test_en_5.1.1_3.0_1694554576959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_cased_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_cased_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/chenyu313/bert-base-cased-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_finetuned_germanic_languages_nl.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_finetuned_germanic_languages_nl.md
new file mode 100644
index 00000000000000..85066ea191d1c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_finetuned_germanic_languages_nl.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Dutch, Flemish bert_base_dutch_cased_finetuned_germanic_languages BertEmbeddings from GeniusVoice
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_germanic_languages
+date: 2023-09-12
+tags: [bert, nl, open_source, fill_mask, onnx]
+task: Embeddings
+language: nl
+edition: Spark NLP 5.1.1
+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_dutch_cased_finetuned_germanic_languages` is a Dutch, Flemish model originally trained by GeniusVoice.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_germanic_languages_nl_5.1.1_3.0_1694549349357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_germanic_languages_nl_5.1.1_3.0_1694549349357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_dutch_cased_finetuned_germanic_languages","nl") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_dutch_cased_finetuned_germanic_languages", "nl")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_germanic_languages|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|nl|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/GeniusVoice/bert-base-dutch-cased-finetuned-gem
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_gronlp_nl.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_gronlp_nl.md
new file mode 100644
index 00000000000000..b8755890f4c0e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_gronlp_nl.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Dutch, Flemish bert_base_dutch_cased_gronlp BertEmbeddings from GroNLP
+author: John Snow Labs
+name: bert_base_dutch_cased_gronlp
+date: 2023-09-12
+tags: [bert, nl, open_source, fill_mask, onnx]
+task: Embeddings
+language: nl
+edition: Spark NLP 5.1.1
+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_dutch_cased_gronlp` is a Dutch, Flemish model originally trained by GroNLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_gronlp_nl_5.1.1_3.0_1694559021052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_gronlp_nl_5.1.1_3.0_1694559021052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_dutch_cased_gronlp","nl") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_dutch_cased_gronlp", "nl")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_gronlp|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|nl|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/GroNLP/bert-base-dutch-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_arabic_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_arabic_cased_en.md
new file mode 100644
index 00000000000000..0da02178e7a8f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_arabic_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_arabic_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_arabic_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_arabic_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_arabic_cased_en_5.1.1_3.0_1694550500308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_arabic_cased_en_5.1.1_3.0_1694550500308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_arabic_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_arabic_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_arabic_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ar-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_bulgarian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_bulgarian_cased_en.md
new file mode 100644
index 00000000000000..498ecc8acdce6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_bulgarian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_bulgarian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_bulgarian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_bulgarian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_bulgarian_cased_en_5.1.1_3.0_1694550674451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_bulgarian_cased_en_5.1.1_3.0_1694550674451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_bulgarian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_bulgarian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_bulgarian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|420.0 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-bg-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_chinese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_chinese_cased_en.md
new file mode 100644
index 00000000000000..109b67366824be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_chinese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_chinese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_chinese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_chinese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_chinese_cased_en_5.1.1_3.0_1694556350417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_chinese_cased_en_5.1.1_3.0_1694556350417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_chinese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_chinese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_chinese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|421.8 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-zh-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_chinese_hindi_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_chinese_hindi_cased_en.md
new file mode 100644
index 00000000000000..5d9a398859b97b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_chinese_hindi_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_chinese_hindi_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_chinese_hindi_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_chinese_hindi_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_chinese_hindi_cased_en_5.1.1_3.0_1694556485723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_chinese_hindi_cased_en_5.1.1_3.0_1694556485723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_chinese_hindi_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_chinese_hindi_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_chinese_hindi_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|426.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-zh-hi-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_danish_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_danish_cased_en.md
new file mode 100644
index 00000000000000..73ec5ce0f00e26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_danish_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_danish_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_danish_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_danish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_danish_cased_en_5.1.1_3.0_1694550943639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_danish_cased_en_5.1.1_3.0_1694550943639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_danish_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_danish_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_danish_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-da-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_arabic_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_arabic_cased_en.md
new file mode 100644
index 00000000000000..bc901d17436626
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_arabic_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_arabic_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_arabic_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_arabic_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_arabic_cased_en_5.1.1_3.0_1694551872020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_arabic_cased_en_5.1.1_3.0_1694551872020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_arabic_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_arabic_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_arabic_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|426.0 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-ar-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_cased_en.md
new file mode 100644
index 00000000000000..505fc85204dfd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_cased_en_5.1.1_3.0_1694552022056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_cased_en_5.1.1_3.0_1694552022056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|416.5 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_chinese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_chinese_cased_en.md
new file mode 100644
index 00000000000000..90a546f334b71d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_chinese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_chinese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_chinese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_chinese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_chinese_cased_en_5.1.1_3.0_1694553556344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_chinese_cased_en_5.1.1_3.0_1694553556344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_chinese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_chinese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_chinese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|435.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-zh-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_chinese_japanese_vietnamese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_chinese_japanese_vietnamese_cased_en.md
new file mode 100644
index 00000000000000..b30cb7c2282886
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_chinese_japanese_vietnamese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_chinese_japanese_vietnamese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_chinese_japanese_vietnamese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_chinese_japanese_vietnamese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_chinese_japanese_vietnamese_cased_en_5.1.1_3.0_1694553703735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_chinese_japanese_vietnamese_cased_en_5.1.1_3.0_1694553703735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_chinese_japanese_vietnamese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_chinese_japanese_vietnamese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_chinese_japanese_vietnamese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|446.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-zh-ja-vi-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_danish_japanese_vietnamese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_danish_japanese_vietnamese_cased_en.md
new file mode 100644
index 00000000000000..c9f7fefe5c89ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_danish_japanese_vietnamese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_danish_japanese_vietnamese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_danish_japanese_vietnamese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_danish_japanese_vietnamese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_danish_japanese_vietnamese_cased_en_5.1.1_3.0_1694552158682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_danish_japanese_vietnamese_cased_en_5.1.1_3.0_1694552158682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_danish_japanese_vietnamese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_danish_japanese_vietnamese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_danish_japanese_vietnamese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|446.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-da-ja-vi-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_dutch_russian_arabic_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_dutch_russian_arabic_cased_en.md
new file mode 100644
index 00000000000000..d3d6b817004f00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_dutch_russian_arabic_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_dutch_russian_arabic_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_dutch_russian_arabic_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_dutch_russian_arabic_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_dutch_russian_arabic_cased_en_5.1.1_3.0_1694553406628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_dutch_russian_arabic_cased_en_5.1.1_3.0_1694553406628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_dutch_russian_arabic_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_dutch_russian_arabic_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_dutch_russian_arabic_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|461.5 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-nl-ru-ar-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_german_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_german_cased_en.md
new file mode 100644
index 00000000000000..9b87ae583b200f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_german_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_german_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_german_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_german_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_german_cased_en_5.1.1_3.0_1694552319403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_german_cased_en_5.1.1_3.0_1694552319403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_german_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_german_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_german_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|432.7 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-de-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_german_norwegian_danish_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_german_norwegian_danish_cased_en.md
new file mode 100644
index 00000000000000..4673eebea8eaab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_german_norwegian_danish_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_german_norwegian_danish_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_german_norwegian_danish_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_german_norwegian_danish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_german_norwegian_danish_cased_en_5.1.1_3.0_1694552478365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_german_norwegian_danish_cased_en_5.1.1_3.0_1694552478365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_german_norwegian_danish_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_german_norwegian_danish_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_german_norwegian_danish_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|440.5 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-de-no-da-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_italian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_italian_cased_en.md
new file mode 100644
index 00000000000000..f2fc131d2f6b9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_italian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_italian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_italian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_italian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_italian_cased_en_5.1.1_3.0_1694553098457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_italian_cased_en_5.1.1_3.0_1694553098457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_italian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_italian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_italian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|428.1 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-it-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_lithuanian_norwegian_polish_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_lithuanian_norwegian_polish_cased_en.md
new file mode 100644
index 00000000000000..b95580bffaeb7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_lithuanian_norwegian_polish_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_lithuanian_norwegian_polish_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_lithuanian_norwegian_polish_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_lithuanian_norwegian_polish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_lithuanian_norwegian_polish_cased_en_5.1.1_3.0_1694553253099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_lithuanian_norwegian_polish_cased_en_5.1.1_3.0_1694553253099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_lithuanian_norwegian_polish_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_lithuanian_norwegian_polish_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_lithuanian_norwegian_polish_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|441.9 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-lt-no-pl-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_cased_en.md
new file mode 100644
index 00000000000000..09ad6305d4fe16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_spanish_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_spanish_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_spanish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_spanish_cased_en_5.1.1_3.0_1694552634510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_spanish_cased_en_5.1.1_3.0_1694552634510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_spanish_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_spanish_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_spanish_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|433.1 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-es-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_german_chinese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_german_chinese_cased_en.md
new file mode 100644
index 00000000000000..164b1bfa67175d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_german_chinese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_spanish_german_chinese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_spanish_german_chinese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_spanish_german_chinese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_spanish_german_chinese_cased_en_5.1.1_3.0_1694552792508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_spanish_german_chinese_cased_en_5.1.1_3.0_1694552792508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_spanish_german_chinese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_spanish_german_chinese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_spanish_german_chinese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|466.7 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-es-de-zh-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_portuguese_italian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_portuguese_italian_cased_en.md
new file mode 100644
index 00000000000000..4de6c38b51eb29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_french_spanish_portuguese_italian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_french_spanish_portuguese_italian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_french_spanish_portuguese_italian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_french_spanish_portuguese_italian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_french_spanish_portuguese_italian_cased_en_5.1.1_3.0_1694552951990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_french_spanish_portuguese_italian_cased_en_5.1.1_3.0_1694552951990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_french_spanish_portuguese_italian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_french_spanish_portuguese_italian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_french_spanish_portuguese_italian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|444.6 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/ahmedlone127/2023-09-12-bert_base_english_german_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_german_cased_en.md
new file mode 100644
index 00000000000000..ab954c6eec1a23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_german_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_german_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_german_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_german_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_german_cased_en_5.1.1_3.0_1694551087783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_german_cased_en_5.1.1_3.0_1694551087783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_german_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_german_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_german_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|421.8 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-de-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_hindi_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_hindi_cased_en.md
new file mode 100644
index 00000000000000..dae53a7b0be28f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_hindi_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_hindi_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_hindi_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_hindi_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_hindi_cased_en_5.1.1_3.0_1694553855877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_hindi_cased_en_5.1.1_3.0_1694553855877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_hindi_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_hindi_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_hindi_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-hi-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_italian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_italian_cased_en.md
new file mode 100644
index 00000000000000..c2e9d25b892aaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_italian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_italian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_italian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_italian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_italian_cased_en_5.1.1_3.0_1694553994811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_italian_cased_en_5.1.1_3.0_1694553994811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_italian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_italian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_italian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-bert_base_english_japanese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_japanese_cased_en.md
new file mode 100644
index 00000000000000..0f0c199d37599b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_japanese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_japanese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_japanese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_japanese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_japanese_cased_en_5.1.1_3.0_1694554115375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_japanese_cased_en_5.1.1_3.0_1694554115375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_japanese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_japanese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_japanese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-bert_base_english_lithuanian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_lithuanian_cased_en.md
new file mode 100644
index 00000000000000..6d3dc265adafc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_lithuanian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_lithuanian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_lithuanian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_lithuanian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_lithuanian_cased_en_5.1.1_3.0_1694554240405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_lithuanian_cased_en_5.1.1_3.0_1694554240405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_lithuanian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_lithuanian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_lithuanian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-lt-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_norwegian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_norwegian_cased_en.md
new file mode 100644
index 00000000000000..73cb0747dbf2bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_norwegian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_norwegian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_norwegian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_norwegian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_norwegian_cased_en_5.1.1_3.0_1694554556744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_norwegian_cased_en_5.1.1_3.0_1694554556744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_norwegian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_norwegian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_norwegian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|415.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-no-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_polish_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_polish_cased_en.md
new file mode 100644
index 00000000000000..372a14b4d7dd63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_polish_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_polish_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_polish_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_polish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_polish_cased_en_5.1.1_3.0_1694554731414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_polish_cased_en_5.1.1_3.0_1694554731414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_polish_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_polish_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_polish_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|417.9 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-pl-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_portuguese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_portuguese_cased_en.md
new file mode 100644
index 00000000000000..b378b9fc4d462f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_portuguese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_portuguese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_portuguese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_portuguese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_portuguese_cased_en_5.1.1_3.0_1694554858787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_portuguese_cased_en_5.1.1_3.0_1694554858787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_portuguese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_portuguese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_portuguese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|419.2 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-pt-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_romanian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_romanian_cased_en.md
new file mode 100644
index 00000000000000..cc7304f533b9b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_romanian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_romanian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_romanian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_romanian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_romanian_cased_en_5.1.1_3.0_1694555022603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_romanian_cased_en_5.1.1_3.0_1694555022603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_romanian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_romanian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_romanian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-bert_base_english_spanish_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_cased_en.md
new file mode 100644
index 00000000000000..1053c12c4e75ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_spanish_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_spanish_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_spanish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_cased_en_5.1.1_3.0_1694551237571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_cased_en_5.1.1_3.0_1694551237571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_spanish_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_spanish_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_spanish_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|422.2 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_chinese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_chinese_cased_en.md
new file mode 100644
index 00000000000000..a45780d7531714
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_chinese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_spanish_chinese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_spanish_chinese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_spanish_chinese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_chinese_cased_en_5.1.1_3.0_1694551698031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_chinese_cased_en_5.1.1_3.0_1694551698031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_spanish_chinese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_spanish_chinese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_spanish_chinese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|441.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-zh-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_italian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_italian_cased_en.md
new file mode 100644
index 00000000000000..b6b4c68f82395d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_italian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_spanish_italian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_spanish_italian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_spanish_italian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_italian_cased_en_5.1.1_3.0_1694551412882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_italian_cased_en_5.1.1_3.0_1694551412882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_spanish_italian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_spanish_italian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_spanish_italian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|431.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-it-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_portuguese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_portuguese_cased_en.md
new file mode 100644
index 00000000000000..bd6389c9cac801
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_spanish_portuguese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_spanish_portuguese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_spanish_portuguese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_spanish_portuguese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_portuguese_cased_en_5.1.1_3.0_1694551563082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_spanish_portuguese_cased_en_5.1.1_3.0_1694551563082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_spanish_portuguese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_spanish_portuguese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_spanish_portuguese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|428.0 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-pt-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_swahili_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_swahili_cased_en.md
new file mode 100644
index 00000000000000..e87b3d8cf83294
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_swahili_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_swahili_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_swahili_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_swahili_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_swahili_cased_en_5.1.1_3.0_1694555358059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_swahili_cased_en_5.1.1_3.0_1694555358059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_swahili_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_swahili_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_swahili_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-bert_base_english_thai_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_thai_cased_en.md
new file mode 100644
index 00000000000000..f6aa44acd672a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_thai_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_thai_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_thai_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_thai_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_thai_cased_en_5.1.1_3.0_1694555543000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_thai_cased_en_5.1.1_3.0_1694555543000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_thai_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_thai_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_thai_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|404.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-th-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_ukrainian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_ukrainian_cased_en.md
new file mode 100644
index 00000000000000..95024470e16b7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_ukrainian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_ukrainian_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_ukrainian_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_ukrainian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_ukrainian_cased_en_5.1.1_3.0_1694555899898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_ukrainian_cased_en_5.1.1_3.0_1694555899898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_ukrainian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_ukrainian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_ukrainian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|422.5 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-uk-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_urdu_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_urdu_cased_en.md
new file mode 100644
index 00000000000000..a7f82d7e7ca9a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_urdu_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_urdu_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_urdu_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_urdu_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_urdu_cased_en_5.1.1_3.0_1694556060152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_urdu_cased_en_5.1.1_3.0_1694556060152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_urdu_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_urdu_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_urdu_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-bert_base_english_vietnamese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_vietnamese_cased_en.md
new file mode 100644
index 00000000000000..d28523b7e7bd4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_english_vietnamese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_english_vietnamese_cased BertEmbeddings from Geotrend
+author: John Snow Labs
+name: bert_base_english_vietnamese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_english_vietnamese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_english_vietnamese_cased_en_5.1.1_3.0_1694556202106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_english_vietnamese_cased_en_5.1.1_3.0_1694556202106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_english_vietnamese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_english_vietnamese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_english_vietnamese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.8 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-vi-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_galician_cased_gl.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_galician_cased_gl.md
new file mode 100644
index 00000000000000..3683260ef29e77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_galician_cased_gl.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Galician bert_base_galician_cased BertEmbeddings from marcosgg
+author: John Snow Labs
+name: bert_base_galician_cased
+date: 2023-09-12
+tags: [bert, gl, open_source, fill_mask, onnx]
+task: Embeddings
+language: gl
+edition: Spark NLP 5.1.1
+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_galician_cased` is a Galician model originally trained by marcosgg.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_galician_cased_gl_5.1.1_3.0_1694551516731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_galician_cased_gl_5.1.1_3.0_1694551516731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_galician_cased","gl") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_galician_cased", "gl")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_galician_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|gl|
+|Size:|664.5 MB|
+
+## References
+
+https://huggingface.co/marcosgg/bert-base-gl-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_german_dbmdz_uncased_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_german_dbmdz_uncased_german_en.md
new file mode 100644
index 00000000000000..3e20cf82c3cde5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_german_dbmdz_uncased_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_german_dbmdz_uncased_german BertEmbeddings from koala
+author: John Snow Labs
+name: bert_base_german_dbmdz_uncased_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_german_dbmdz_uncased_german` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_dbmdz_uncased_german_en_5.1.1_3.0_1694508300297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_dbmdz_uncased_german_en_5.1.1_3.0_1694508300297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_german_dbmdz_uncased_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_german_dbmdz_uncased_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_dbmdz_uncased_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/koala/bert-base-german-dbmdz-uncased-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_greek_uncased_v1_el.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_greek_uncased_v1_el.md
new file mode 100644
index 00000000000000..2a200fdac65287
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_greek_uncased_v1_el.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Modern Greek (1453-) bert_base_greek_uncased_v1 BertEmbeddings from nlpaueb
+author: John Snow Labs
+name: bert_base_greek_uncased_v1
+date: 2023-09-12
+tags: [bert, el, open_source, fill_mask, onnx]
+task: Embeddings
+language: el
+edition: Spark NLP 5.1.1
+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_greek_uncased_v1` is a Modern Greek (1453-) model originally trained by nlpaueb.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_greek_uncased_v1_el_5.1.1_3.0_1694561091912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_greek_uncased_v1_el_5.1.1_3.0_1694561091912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_greek_uncased_v1","el") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_greek_uncased_v1", "el")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_greek_uncased_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|el|
+|Size:|421.1 MB|
+
+## References
+
+https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_ko.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_ko.md
new file mode 100644
index 00000000000000..97429141244fd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_ko.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Korean bert_base BertEmbeddings from klue
+author: John Snow Labs
+name: bert_base
+date: 2023-09-12
+tags: [bert, ko, open_source, fill_mask, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.1.1
+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` is a Korean model originally trained by klue.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_ko_5.1.1_3.0_1694508175577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_ko_5.1.1_3.0_1694508175577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base","ko") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base", "ko")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/klue/bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_en.md
new file mode 100644
index 00000000000000..79a8300797a022
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_parsbert_uncased BertEmbeddings from HooshvareLab
+author: John Snow Labs
+name: bert_base_parsbert_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_parsbert_uncased` is a English model originally trained by HooshvareLab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_en_5.1.1_3.0_1694559679646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_en_5.1.1_3.0_1694559679646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_parsbert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_parsbert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_parsbert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.4 MB|
+
+## References
+
+https://huggingface.co/HooshvareLab/bert-base-parsbert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_conditioned_khorshid_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_conditioned_khorshid_en.md
new file mode 100644
index 00000000000000..e117fc540fd68e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_conditioned_khorshid_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_parsbert_uncased_finetuned_conditioned_khorshid BertEmbeddings from Hamid-reza
+author: John Snow Labs
+name: bert_base_parsbert_uncased_finetuned_conditioned_khorshid
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_parsbert_uncased_finetuned_conditioned_khorshid` is a English model originally trained by Hamid-reza.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_finetuned_conditioned_khorshid_en_5.1.1_3.0_1694552930772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_finetuned_conditioned_khorshid_en_5.1.1_3.0_1694552930772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_parsbert_uncased_finetuned_conditioned_khorshid","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_parsbert_uncased_finetuned_conditioned_khorshid", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_parsbert_uncased_finetuned_conditioned_khorshid|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.3 MB|
+
+## References
+
+https://huggingface.co/Hamid-reza/bert-base-parsbert-uncased-finetuned-conditioned-khorshid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_khorshid_accelerate_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_khorshid_accelerate_en.md
new file mode 100644
index 00000000000000..854f5c741285c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_khorshid_accelerate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_parsbert_uncased_finetuned_khorshid_accelerate BertEmbeddings from Hamid-reza
+author: John Snow Labs
+name: bert_base_parsbert_uncased_finetuned_khorshid_accelerate
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_parsbert_uncased_finetuned_khorshid_accelerate` is a English model originally trained by Hamid-reza.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_finetuned_khorshid_accelerate_en_5.1.1_3.0_1694551419310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_finetuned_khorshid_accelerate_en_5.1.1_3.0_1694551419310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_parsbert_uncased_finetuned_khorshid_accelerate","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_parsbert_uncased_finetuned_khorshid_accelerate", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_parsbert_uncased_finetuned_khorshid_accelerate|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.3 MB|
+
+## References
+
+https://huggingface.co/Hamid-reza/bert-base-parsbert-uncased-finetuned-khorshid-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_khorshid_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_khorshid_en.md
new file mode 100644
index 00000000000000..dd74fe05f010f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_parsbert_uncased_finetuned_khorshid_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_parsbert_uncased_finetuned_khorshid BertEmbeddings from Hamid-reza
+author: John Snow Labs
+name: bert_base_parsbert_uncased_finetuned_khorshid
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_parsbert_uncased_finetuned_khorshid` is a English model originally trained by Hamid-reza.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_finetuned_khorshid_en_5.1.1_3.0_1694551198123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_parsbert_uncased_finetuned_khorshid_en_5.1.1_3.0_1694551198123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_parsbert_uncased_finetuned_khorshid","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_parsbert_uncased_finetuned_khorshid", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_parsbert_uncased_finetuned_khorshid|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.4 MB|
+
+## References
+
+https://huggingface.co/Hamid-reza/bert-base-parsbert-uncased-finetuned-khorshid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_portuguese_cased_finetuned_acordao_v2_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_portuguese_cased_finetuned_acordao_v2_en.md
new file mode 100644
index 00000000000000..44b9287425c3f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_portuguese_cased_finetuned_acordao_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_portuguese_cased_finetuned_acordao_v2 BertEmbeddings from ederkamphorst
+author: John Snow Labs
+name: bert_base_portuguese_cased_finetuned_acordao_v2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_portuguese_cased_finetuned_acordao_v2` is a English model originally trained by ederkamphorst.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_finetuned_acordao_v2_en_5.1.1_3.0_1694508805037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_finetuned_acordao_v2_en_5.1.1_3.0_1694508805037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_portuguese_cased_finetuned_acordao_v2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_portuguese_cased_finetuned_acordao_v2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_finetuned_acordao_v2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ederkamphorst/bert-base-portuguese-cased-finetuned-acordao_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_portuguese_cased_neuralmind_pt.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_portuguese_cased_neuralmind_pt.md
new file mode 100644
index 00000000000000..edd95378a27a10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_portuguese_cased_neuralmind_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bert_base_portuguese_cased_neuralmind BertEmbeddings from neuralmind
+author: John Snow Labs
+name: bert_base_portuguese_cased_neuralmind
+date: 2023-09-12
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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_portuguese_cased_neuralmind` is a Portuguese model originally trained by neuralmind.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_neuralmind_pt_5.1.1_3.0_1694557881484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_neuralmind_pt_5.1.1_3.0_1694557881484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_portuguese_cased_neuralmind","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_portuguese_cased_neuralmind", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_neuralmind|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/neuralmind/bert-base-portuguese-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_swedish_cased_kb_sv.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_swedish_cased_kb_sv.md
new file mode 100644
index 00000000000000..23250a730a4ea3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_swedish_cased_kb_sv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Swedish bert_base_swedish_cased_kb BertEmbeddings from KB
+author: John Snow Labs
+name: bert_base_swedish_cased_kb
+date: 2023-09-12
+tags: [bert, sv, open_source, fill_mask, onnx]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.1.1
+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_swedish_cased_kb` is a Swedish model originally trained by KB.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_swedish_cased_kb_sv_5.1.1_3.0_1694510194246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_swedish_cased_kb_sv_5.1.1_3.0_1694510194246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_swedish_cased_kb","sv") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_swedish_cased_kb", "sv")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_swedish_cased_kb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|sv|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/KB/bert-base-swedish-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_tapt_govreport_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_tapt_govreport_en.md
new file mode 100644
index 00000000000000..a31f17cef5f6b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_tapt_govreport_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_tapt_govreport BertEmbeddings from eliolio
+author: John Snow Labs
+name: bert_base_tapt_govreport
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_tapt_govreport` is a English model originally trained by eliolio.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_tapt_govreport_en_5.1.1_3.0_1694562890971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_tapt_govreport_en_5.1.1_3.0_1694562890971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_tapt_govreport","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_tapt_govreport", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_tapt_govreport|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/eliolio/bert-base-tapt-govreport
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_echr_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_echr_en.md
new file mode 100644
index 00000000000000..fc5fa653d2dea5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_echr_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_echr BertEmbeddings from nlpaueb
+author: John Snow Labs
+name: bert_base_uncased_echr
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_echr` is a English model originally trained by nlpaueb.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_echr_en_5.1.1_3.0_1694561249416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_echr_en_5.1.1_3.0_1694561249416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_echr","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_echr", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_echr|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/nlpaueb/bert-base-uncased-echr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_englishlawai_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_englishlawai_en.md
new file mode 100644
index 00000000000000..02d277b3a73897
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_englishlawai_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_englishlawai BertEmbeddings from Makabaka
+author: John Snow Labs
+name: bert_base_uncased_englishlawai
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_englishlawai` is a English model originally trained by Makabaka.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_englishlawai_en_5.1.1_3.0_1694550163867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_englishlawai_en_5.1.1_3.0_1694550163867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_englishlawai","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_englishlawai", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_englishlawai|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Makabaka/bert-base-uncased-EnglishLawAI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_eurlex_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_eurlex_en.md
new file mode 100644
index 00000000000000..9460a87cc03e1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_eurlex_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_eurlex BertEmbeddings from nlpaueb
+author: John Snow Labs
+name: bert_base_uncased_eurlex
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_eurlex` is a English model originally trained by nlpaueb.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_eurlex_en_5.1.1_3.0_1694561402834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_eurlex_en_5.1.1_3.0_1694561402834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_eurlex","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_eurlex", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_eurlex|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/nlpaueb/bert-base-uncased-eurlex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_finetuned_academic_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_finetuned_academic_en.md
new file mode 100644
index 00000000000000..00b7d46ae5899b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_finetuned_academic_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_academic BertEmbeddings from egumasa
+author: John Snow Labs
+name: bert_base_uncased_finetuned_academic
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_academic` is a English model originally trained by egumasa.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_academic_en_5.1.1_3.0_1694555134262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_academic_en_5.1.1_3.0_1694555134262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_finetuned_academic","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_finetuned_academic", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_academic|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/egumasa/bert-base-uncased-finetuned-academic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_finetuned_crypto_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_finetuned_crypto_en.md
new file mode 100644
index 00000000000000..5d06344969a462
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_finetuned_crypto_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_crypto BertEmbeddings from smarquie
+author: John Snow Labs
+name: bert_base_uncased_finetuned_crypto
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_crypto` is a English model originally trained by smarquie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_crypto_en_5.1.1_3.0_1694562492423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_crypto_en_5.1.1_3.0_1694562492423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_finetuned_crypto","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_finetuned_crypto", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_crypto|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/smarquie/bert-base-uncased-finetuned-crypto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_gujarati_128_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_gujarati_128_en.md
new file mode 100644
index 00000000000000..c74ee99a926635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_gujarati_128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_gujarati_128 BertEmbeddings from mischi001
+author: John Snow Labs
+name: bert_base_uncased_gujarati_128
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_gujarati_128` is a English model originally trained by mischi001.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_gujarati_128_en_5.1.1_3.0_1694510645737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_gujarati_128_en_5.1.1_3.0_1694510645737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_gujarati_128","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_gujarati_128", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_gujarati_128|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/mischi001/bert-base-uncased-gu-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_dongyeop_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_dongyeop_en.md
new file mode 100644
index 00000000000000..7ed36aba92f77e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_dongyeop_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_dongyeop BertEmbeddings from Dongyeop
+author: John Snow Labs
+name: bert_base_uncased_issues_128_dongyeop
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_dongyeop` is a English model originally trained by Dongyeop.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_dongyeop_en_5.1.1_3.0_1694510297896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_dongyeop_en_5.1.1_3.0_1694510297896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_dongyeop","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_dongyeop", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_dongyeop|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Dongyeop/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_hrayrmsint_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_hrayrmsint_en.md
new file mode 100644
index 00000000000000..27bf3aaa32a0d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_hrayrmsint_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_hrayrmsint BertEmbeddings from HrayrMSint
+author: John Snow Labs
+name: bert_base_uncased_issues_128_hrayrmsint
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_hrayrmsint` is a English model originally trained by HrayrMSint.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_hrayrmsint_en_5.1.1_3.0_1694549539463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_hrayrmsint_en_5.1.1_3.0_1694549539463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_hrayrmsint","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_hrayrmsint", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_hrayrmsint|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/HrayrMSint/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_isaacp_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_isaacp_en.md
new file mode 100644
index 00000000000000..e1cc7c79e1f8da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_isaacp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_isaacp BertEmbeddings from Isaacp
+author: John Snow Labs
+name: bert_base_uncased_issues_128_isaacp
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_isaacp` is a English model originally trained by Isaacp.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_isaacp_en_5.1.1_3.0_1694508451060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_isaacp_en_5.1.1_3.0_1694508451060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_isaacp","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_isaacp", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_isaacp|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Isaacp/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_issues_128_lvwerra_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_issues_128_lvwerra_en.md
new file mode 100644
index 00000000000000..38347519819ad8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_issues_128_lvwerra_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_issues_128_lvwerra BertEmbeddings from lvwerra
+author: John Snow Labs
+name: bert_base_uncased_issues_128_issues_128_lvwerra
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_issues_128_lvwerra` is a English model originally trained by lvwerra.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_issues_128_lvwerra_en_5.1.1_3.0_1694550270689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_issues_128_lvwerra_en_5.1.1_3.0_1694550270689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_issues_128_lvwerra","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_issues_128_lvwerra", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_issues_128_lvwerra|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/lvwerra/bert-base-uncased-issues-128-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_jangmin_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_jangmin_en.md
new file mode 100644
index 00000000000000..f1ad86721b3e5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_jangmin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_jangmin BertEmbeddings from jangmin
+author: John Snow Labs
+name: bert_base_uncased_issues_128_jangmin
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_jangmin` is a English model originally trained by jangmin.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_jangmin_en_5.1.1_3.0_1694554761560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_jangmin_en_5.1.1_3.0_1694554761560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_jangmin","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_jangmin", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_jangmin|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/jangmin/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_junghun_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_junghun_en.md
new file mode 100644
index 00000000000000..e259aa105c6eb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_junghun_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_junghun BertEmbeddings from JungHun
+author: John Snow Labs
+name: bert_base_uncased_issues_128_junghun
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_junghun` is a English model originally trained by JungHun.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_junghun_en_5.1.1_3.0_1694556714538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_junghun_en_5.1.1_3.0_1694556714538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_junghun","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_junghun", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_junghun|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/JungHun/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_jx7789_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_jx7789_en.md
new file mode 100644
index 00000000000000..315c9204483781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_jx7789_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_jx7789 BertEmbeddings from jx7789
+author: John Snow Labs
+name: bert_base_uncased_issues_128_jx7789
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_jx7789` is a English model originally trained by jx7789.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_jx7789_en_5.1.1_3.0_1694555592115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_jx7789_en_5.1.1_3.0_1694555592115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_jx7789","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_jx7789", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_jx7789|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/jx7789/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_transll_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_transll_en.md
new file mode 100644
index 00000000000000..48de853cec6289
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_issues_128_transll_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_transll BertEmbeddings from TransLL
+author: John Snow Labs
+name: bert_base_uncased_issues_128_transll
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_transll` is a English model originally trained by TransLL.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_transll_en_5.1.1_3.0_1694550129029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_transll_en_5.1.1_3.0_1694550129029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_transll","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_transll", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_transll|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/TransLL/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier_en.md
new file mode 100644
index 00000000000000..abe6f9dcf72fe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier BertEmbeddings from Intel
+author: John Snow Labs
+name: bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_mnli_sparse_70_unstructured_norwegian_classifier` is a English model originally trained by Intel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier_en_5.1.1_3.0_1694559998864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier_en_5.1.1_3.0_1694559998864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mnli_sparse_70_unstructured_norwegian_classifier|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|225.9 MB|
+
+## References
+
+https://huggingface.co/Intel/bert-base-uncased-mnli-sparse-70-unstructured-no-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_rahuldave_issues_128_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_rahuldave_issues_128_en.md
new file mode 100644
index 00000000000000..9357261bb64a02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_rahuldave_issues_128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_rahuldave_issues_128 BertEmbeddings from rahuldave
+author: John Snow Labs
+name: bert_base_uncased_rahuldave_issues_128
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_rahuldave_issues_128` is a English model originally trained by rahuldave.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rahuldave_issues_128_en_5.1.1_3.0_1694553801165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rahuldave_issues_128_en_5.1.1_3.0_1694553801165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_rahuldave_issues_128","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_rahuldave_issues_128", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rahuldave_issues_128|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/rahuldave/bert-base-uncased-rahuldave-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_70_unstructured_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_70_unstructured_en.md
new file mode 100644
index 00000000000000..f8578c727b7524
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_70_unstructured_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_sparse_70_unstructured BertEmbeddings from Intel
+author: John Snow Labs
+name: bert_base_uncased_sparse_70_unstructured
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_sparse_70_unstructured` is a English model originally trained by Intel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sparse_70_unstructured_en_5.1.1_3.0_1694560206490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sparse_70_unstructured_en_5.1.1_3.0_1694560206490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_sparse_70_unstructured","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_sparse_70_unstructured", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sparse_70_unstructured|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|225.8 MB|
+
+## References
+
+https://huggingface.co/Intel/bert-base-uncased-sparse-70-unstructured
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_85_unstructured_pruneofa_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_85_unstructured_pruneofa_en.md
new file mode 100644
index 00000000000000..6f7d439896013e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_85_unstructured_pruneofa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_sparse_85_unstructured_pruneofa BertEmbeddings from Intel
+author: John Snow Labs
+name: bert_base_uncased_sparse_85_unstructured_pruneofa
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_sparse_85_unstructured_pruneofa` is a English model originally trained by Intel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sparse_85_unstructured_pruneofa_en_5.1.1_3.0_1694560356013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sparse_85_unstructured_pruneofa_en_5.1.1_3.0_1694560356013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_sparse_85_unstructured_pruneofa","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_sparse_85_unstructured_pruneofa", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sparse_85_unstructured_pruneofa|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|175.6 MB|
+
+## References
+
+https://huggingface.co/Intel/bert-base-uncased-sparse-85-unstructured-pruneofa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_90_unstructured_pruneofa_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_90_unstructured_pruneofa_en.md
new file mode 100644
index 00000000000000..4a7bed5ce732b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_sparse_90_unstructured_pruneofa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_sparse_90_unstructured_pruneofa BertEmbeddings from Intel
+author: John Snow Labs
+name: bert_base_uncased_sparse_90_unstructured_pruneofa
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_sparse_90_unstructured_pruneofa` is a English model originally trained by Intel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sparse_90_unstructured_pruneofa_en_5.1.1_3.0_1694560534251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sparse_90_unstructured_pruneofa_en_5.1.1_3.0_1694560534251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_sparse_90_unstructured_pruneofa","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_sparse_90_unstructured_pruneofa", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sparse_90_unstructured_pruneofa|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|157.7 MB|
+
+## References
+
+https://huggingface.co/Intel/bert-base-uncased-sparse-90-unstructured-pruneofa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_transformers_github_128_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_transformers_github_128_en.md
new file mode 100644
index 00000000000000..7d61bfb913f5c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_uncased_transformers_github_128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_transformers_github_128 BertEmbeddings from GV05
+author: John Snow Labs
+name: bert_base_uncased_transformers_github_128
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_transformers_github_128` is a English model originally trained by GV05.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_transformers_github_128_en_5.1.1_3.0_1694554427020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_transformers_github_128_en_5.1.1_3.0_1694554427020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_transformers_github_128","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_transformers_github_128", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_transformers_github_128|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/GV05/bert-base-uncased-transformers-github-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_vietnamese_uncased_vi.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_vietnamese_uncased_vi.md
new file mode 100644
index 00000000000000..a399d814a7b57f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_vietnamese_uncased_vi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Vietnamese bert_base_vietnamese_uncased BertEmbeddings from tintnguyen
+author: John Snow Labs
+name: bert_base_vietnamese_uncased
+date: 2023-09-12
+tags: [bert, vi, open_source, fill_mask, onnx]
+task: Embeddings
+language: vi
+edition: Spark NLP 5.1.1
+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_vietnamese_uncased` is a Vietnamese model originally trained by tintnguyen.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_vietnamese_uncased_vi_5.1.1_3.0_1694551029030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_vietnamese_uncased_vi_5.1.1_3.0_1694551029030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_vietnamese_uncased","vi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_vietnamese_uncased", "vi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_vietnamese_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|vi|
+|Size:|536.8 MB|
+
+## References
+
+https://huggingface.co/tintnguyen/bert-base-vi-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_wikihow_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_wikihow_en.md
new file mode 100644
index 00000000000000..fe2333ebca4769
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_base_wikihow_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_wikihow BertEmbeddings from Aktsvigun
+author: John Snow Labs
+name: bert_base_wikihow
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_wikihow` is a English model originally trained by Aktsvigun.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_wikihow_en_5.1.1_3.0_1694553949077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_wikihow_en_5.1.1_3.0_1694553949077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_wikihow","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_wikihow", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_wikihow|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Aktsvigun/bert-base-wikihow
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_c1_english_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_c1_english_german_en.md
new file mode 100644
index 00000000000000..d96fe467741491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_c1_english_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_c1_english_german BertEmbeddings from OpenSemShift
+author: John Snow Labs
+name: bert_c1_english_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_c1_english_german` is a English model originally trained by OpenSemShift.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_c1_english_german_en_5.1.1_3.0_1694558764674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_c1_english_german_en_5.1.1_3.0_1694558764674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_c1_english_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_c1_english_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_c1_english_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/OpenSemShift/bert-c1-en-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_c2_english_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_c2_english_german_en.md
new file mode 100644
index 00000000000000..f9bb973d3548b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_c2_english_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_c2_english_german BertEmbeddings from OpenSemShift
+author: John Snow Labs
+name: bert_c2_english_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_c2_english_german` is a English model originally trained by OpenSemShift.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_c2_english_german_en_5.1.1_3.0_1694558981307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_c2_english_german_en_5.1.1_3.0_1694558981307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_c2_english_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_c2_english_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_c2_english_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/OpenSemShift/bert-c2-en-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_c2_english_only_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_c2_english_only_en.md
new file mode 100644
index 00000000000000..4ae205f09173fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_c2_english_only_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_c2_english_only BertEmbeddings from OpenSemShift
+author: John Snow Labs
+name: bert_c2_english_only
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_c2_english_only` is a English model originally trained by OpenSemShift.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_c2_english_only_en_5.1.1_3.0_1694560907370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_c2_english_only_en_5.1.1_3.0_1694560907370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_c2_english_only","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_c2_english_only", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_c2_english_only|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/OpenSemShift/bert-c2-en-only
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_clinical_scratch_wl_spanish_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_clinical_scratch_wl_spanish_en.md
new file mode 100644
index 00000000000000..bdee3e9038fe12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_clinical_scratch_wl_spanish_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_clinical_scratch_wl_spanish BertEmbeddings from plncmm
+author: John Snow Labs
+name: bert_clinical_scratch_wl_spanish
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_clinical_scratch_wl_spanish` is a English model originally trained by plncmm.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_clinical_scratch_wl_spanish_en_5.1.1_3.0_1694549252966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_clinical_scratch_wl_spanish_en_5.1.1_3.0_1694549252966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_clinical_scratch_wl_spanish","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_clinical_scratch_wl_spanish", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_clinical_scratch_wl_spanish|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/plncmm/bert-clinical-scratch-wl-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_e_base_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_e_base_mlm_en.md
new file mode 100644
index 00000000000000..7516ad99fa0fdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_e_base_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_e_base_mlm BertEmbeddings from nasa-impact
+author: John Snow Labs
+name: bert_e_base_mlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_e_base_mlm` is a English model originally trained by nasa-impact.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_e_base_mlm_en_5.1.1_3.0_1694557364630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_e_base_mlm_en_5.1.1_3.0_1694557364630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_e_base_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_e_base_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_e_base_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/nasa-impact/bert-e-base-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_emoji_latvian_twitter_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_emoji_latvian_twitter_en.md
new file mode 100644
index 00000000000000..ead21b98623a7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_emoji_latvian_twitter_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_emoji_latvian_twitter BertEmbeddings from FFZG-cleopatra
+author: John Snow Labs
+name: bert_emoji_latvian_twitter
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_emoji_latvian_twitter` is a English model originally trained by FFZG-cleopatra.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emoji_latvian_twitter_en_5.1.1_3.0_1694548098064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emoji_latvian_twitter_en_5.1.1_3.0_1694548098064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_emoji_latvian_twitter","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_emoji_latvian_twitter", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emoji_latvian_twitter|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.2 MB|
+
+## References
+
+https://huggingface.co/FFZG-cleopatra/bert-emoji-latvian-twitter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_finetuning_test_lian01110_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_finetuning_test_lian01110_en.md
new file mode 100644
index 00000000000000..a6be7241b26233
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_finetuning_test_lian01110_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuning_test_lian01110 BertEmbeddings from lian01110
+author: John Snow Labs
+name: bert_finetuning_test_lian01110
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_finetuning_test_lian01110` is a English model originally trained by lian01110.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_lian01110_en_5.1.1_3.0_1694548658763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_lian01110_en_5.1.1_3.0_1694548658763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_finetuning_test_lian01110","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_finetuning_test_lian01110", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_lian01110|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lian01110/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_for_finacial_triples_completion_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_for_finacial_triples_completion_en.md
new file mode 100644
index 00000000000000..10a56529d1883d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_for_finacial_triples_completion_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_for_finacial_triples_completion BertEmbeddings from reginaboateng
+author: John Snow Labs
+name: bert_for_finacial_triples_completion
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_for_finacial_triples_completion` is a English model originally trained by reginaboateng.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_for_finacial_triples_completion_en_5.1.1_3.0_1694549182533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_for_finacial_triples_completion_en_5.1.1_3.0_1694549182533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_for_finacial_triples_completion","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_for_finacial_triples_completion", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_for_finacial_triples_completion|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/reginaboateng/bert_for_finacial_triples_completion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_funting_test_ai10_niepan_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_funting_test_ai10_niepan_en.md
new file mode 100644
index 00000000000000..2ac0ed5a6a7c05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_funting_test_ai10_niepan_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_funting_test_ai10_niepan BertEmbeddings from niepan
+author: John Snow Labs
+name: bert_funting_test_ai10_niepan
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_funting_test_ai10_niepan` is a English model originally trained by niepan.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_funting_test_ai10_niepan_en_5.1.1_3.0_1694558288937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_funting_test_ai10_niepan_en_5.1.1_3.0_1694558288937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_funting_test_ai10_niepan","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_funting_test_ai10_niepan", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_funting_test_ai10_niepan|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/niepan/bert_funting_test_ai10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_galician_gl.md b/docs/_posts/ahmedlone127/2023-09-12-bert_galician_gl.md
new file mode 100644
index 00000000000000..c45ebe51884458
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_galician_gl.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Galician bert_galician BertEmbeddings from fpuentes
+author: John Snow Labs
+name: bert_galician
+date: 2023-09-12
+tags: [bert, gl, open_source, fill_mask, onnx]
+task: Embeddings
+language: gl
+edition: Spark NLP 5.1.1
+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_galician` is a Galician model originally trained by fpuentes.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_galician_gl_5.1.1_3.0_1694550784049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_galician_gl_5.1.1_3.0_1694550784049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_galician","gl") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_galician", "gl")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_galician|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|gl|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/fpuentes/bert-galician
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_hateful_memes_expanded_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_hateful_memes_expanded_en.md
new file mode 100644
index 00000000000000..59b1251b4d0c10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_hateful_memes_expanded_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_hateful_memes_expanded BertEmbeddings from limjiayi
+author: John Snow Labs
+name: bert_hateful_memes_expanded
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_hateful_memes_expanded` is a English model originally trained by limjiayi.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_hateful_memes_expanded_en_5.1.1_3.0_1694548862078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_hateful_memes_expanded_en_5.1.1_3.0_1694548862078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_hateful_memes_expanded","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_hateful_memes_expanded", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_hateful_memes_expanded|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/limjiayi/bert-hateful-memes-expanded
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_java_bfp_combined_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_java_bfp_combined_en.md
new file mode 100644
index 00000000000000..ef3ec9b7562b4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_java_bfp_combined_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_java_bfp_combined BertEmbeddings from up201806461
+author: John Snow Labs
+name: bert_java_bfp_combined
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_java_bfp_combined` is a English model originally trained by up201806461.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_java_bfp_combined_en_5.1.1_3.0_1694562355805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_java_bfp_combined_en_5.1.1_3.0_1694562355805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_java_bfp_combined","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_java_bfp_combined", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_java_bfp_combined|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/up201806461/bert-java-bfp_combined
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_base_uncased_en.md
new file mode 100644
index 00000000000000..09a77ee8a25bf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_khmer_base_uncased BertEmbeddings from GKLMIP
+author: John Snow Labs
+name: bert_khmer_base_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_khmer_base_uncased` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_khmer_base_uncased_en_5.1.1_3.0_1694548567530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_khmer_base_uncased_en_5.1.1_3.0_1694548567530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_khmer_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_khmer_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_khmer_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|413.0 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/bert-khmer-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_base_uncased_tokenized_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_base_uncased_tokenized_en.md
new file mode 100644
index 00000000000000..065f90f832fbd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_base_uncased_tokenized_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_khmer_base_uncased_tokenized BertEmbeddings from GKLMIP
+author: John Snow Labs
+name: bert_khmer_base_uncased_tokenized
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_khmer_base_uncased_tokenized` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_khmer_base_uncased_tokenized_en_5.1.1_3.0_1694548424527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_khmer_base_uncased_tokenized_en_5.1.1_3.0_1694548424527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_khmer_base_uncased_tokenized","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_khmer_base_uncased_tokenized", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_khmer_base_uncased_tokenized|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.9 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/bert-khmer-base-uncased-tokenized
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_small_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_small_uncased_en.md
new file mode 100644
index 00000000000000..5c0910e0b64983
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_small_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_khmer_small_uncased BertEmbeddings from GKLMIP
+author: John Snow Labs
+name: bert_khmer_small_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_khmer_small_uncased` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_khmer_small_uncased_en_5.1.1_3.0_1694548748669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_khmer_small_uncased_en_5.1.1_3.0_1694548748669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_khmer_small_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_khmer_small_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_khmer_small_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|110.2 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/bert-khmer-small-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_small_uncased_tokenized_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_small_uncased_tokenized_en.md
new file mode 100644
index 00000000000000..b1106d77e59c95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_khmer_small_uncased_tokenized_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_khmer_small_uncased_tokenized BertEmbeddings from GKLMIP
+author: John Snow Labs
+name: bert_khmer_small_uncased_tokenized
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_khmer_small_uncased_tokenized` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_khmer_small_uncased_tokenized_en_5.1.1_3.0_1694548658102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_khmer_small_uncased_tokenized_en_5.1.1_3.0_1694548658102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_khmer_small_uncased_tokenized","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_khmer_small_uncased_tokenized", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_khmer_small_uncased_tokenized|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|110.2 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/bert-khmer-small-uncased-tokenized
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_korean_base_ko.md b/docs/_posts/ahmedlone127/2023-09-12-bert_korean_base_ko.md
new file mode 100644
index 00000000000000..7bbf1ef5e79a2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_korean_base_ko.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Korean bert_korean_base BertEmbeddings from lassl
+author: John Snow Labs
+name: bert_korean_base
+date: 2023-09-12
+tags: [bert, ko, open_source, fill_mask, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.1.1
+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_korean_base` is a Korean model originally trained by lassl.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_korean_base_ko_5.1.1_3.0_1694547622935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_korean_base_ko_5.1.1_3.0_1694547622935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_korean_base","ko") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_korean_base", "ko")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_korean_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|467.8 MB|
+
+## References
+
+https://huggingface.co/lassl/bert-ko-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_korean_small_ko.md b/docs/_posts/ahmedlone127/2023-09-12-bert_korean_small_ko.md
new file mode 100644
index 00000000000000..1f09b7aebc3cb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_korean_small_ko.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Korean bert_korean_small BertEmbeddings from lassl
+author: John Snow Labs
+name: bert_korean_small
+date: 2023-09-12
+tags: [bert, ko, open_source, fill_mask, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.1.1
+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_korean_small` is a Korean model originally trained by lassl.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_korean_small_ko_5.1.1_3.0_1694547734588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_korean_small_ko_5.1.1_3.0_1694547734588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_korean_small","ko") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_korean_small", "ko")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_korean_small|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|85.6 MB|
+
+## References
+
+https://huggingface.co/lassl/bert-ko-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_english_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_english_en.md
new file mode 100644
index 00000000000000..5e62b1afb3b957
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_english BertEmbeddings from koala
+author: John Snow Labs
+name: bert_large_cased_english
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_english` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_english_en_5.1.1_3.0_1694508535175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_english_en_5.1.1_3.0_1694508535175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_english","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_english", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_english|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/koala/bert-large-cased-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_finetuned_prompt_20_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_finetuned_prompt_20_en.md
new file mode 100644
index 00000000000000..ba14f69c18358a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_finetuned_prompt_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_prompt_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_prompt_20
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_prompt_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_prompt_20_en_5.1.1_3.0_1694560618058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_prompt_20_en_5.1.1_3.0_1694560618058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_prompt_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_prompt_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_prompt_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-prompt-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_portuguese_law_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_portuguese_law_en.md
new file mode 100644
index 00000000000000..6bef6ea8d03272
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_portuguese_law_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_portuguese_law BertEmbeddings from edwatanabe
+author: John Snow Labs
+name: bert_large_cased_portuguese_law
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_portuguese_law` is a English model originally trained by edwatanabe.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_portuguese_law_en_5.1.1_3.0_1694548002360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_portuguese_law_en_5.1.1_3.0_1694548002360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_portuguese_law","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_portuguese_law", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_portuguese_law|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/edwatanabe/bert-large-cased-pt-law
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sclarge_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sclarge_en.md
new file mode 100644
index 00000000000000..825ce080100fc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sclarge_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sclarge BertEmbeddings from ZongqianLi
+author: John Snow Labs
+name: bert_large_cased_sclarge
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sclarge` is a English model originally trained by ZongqianLi.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sclarge_en_5.1.1_3.0_1694562199422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sclarge_en_5.1.1_3.0_1694562199422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sclarge","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sclarge", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sclarge|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/ZongqianLi/bert_large_cased_sclarge
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10_en.md
new file mode 100644
index 00000000000000..8876631c16104c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10_en_5.1.1_3.0_1694508360095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10_en_5.1.1_3.0_1694508360095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_10|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11_en.md
new file mode 100644
index 00000000000000..8136d0ebbe7620
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11_en_5.1.1_3.0_1694509499566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11_en_5.1.1_3.0_1694509499566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_11|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12_en.md
new file mode 100644
index 00000000000000..1319cc27ddebfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12_en_5.1.1_3.0_1694510143392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12_en_5.1.1_3.0_1694510143392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_12|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13_en.md
new file mode 100644
index 00000000000000..638809f31231ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13_en_5.1.1_3.0_1694510416192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13_en_5.1.1_3.0_1694510416192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_13|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14_en.md
new file mode 100644
index 00000000000000..3ac5584420fff5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14_en_5.1.1_3.0_1694510686666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14_en_5.1.1_3.0_1694510686666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_14|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15_en.md
new file mode 100644
index 00000000000000..ccb7015fb49c59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15_en_5.1.1_3.0_1694547583222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15_en_5.1.1_3.0_1694547583222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_15|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-15
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16_en.md
new file mode 100644
index 00000000000000..569a02cfdcf537
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16_en_5.1.1_3.0_1694547909959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16_en_5.1.1_3.0_1694547909959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_16|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17_en.md
new file mode 100644
index 00000000000000..efe1f33b166e14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17_en_5.1.1_3.0_1694548216024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17_en_5.1.1_3.0_1694548216024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_17|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18_en.md
new file mode 100644
index 00000000000000..41a50555598393
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18_en_5.1.1_3.0_1694548498129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18_en_5.1.1_3.0_1694548498129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_18|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-18
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19_en.md
new file mode 100644
index 00000000000000..d66544b26af1ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19_en_5.1.1_3.0_1694548783818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19_en_5.1.1_3.0_1694548783818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_19|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9_en.md
new file mode 100644
index 00000000000000..267efcba9435ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9_en_5.1.1_3.0_1694508105221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9_en_5.1.1_3.0_1694508105221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_9|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_portuguese_cased_pt.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_portuguese_cased_pt.md
new file mode 100644
index 00000000000000..3b5fd7ce34bba3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_portuguese_cased_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bert_large_portuguese_cased BertEmbeddings from neuralmind
+author: John Snow Labs
+name: bert_large_portuguese_cased
+date: 2023-09-12
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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_large_portuguese_cased` is a Portuguese model originally trained by neuralmind.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_cased_pt_5.1.1_3.0_1694558116929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_cased_pt_5.1.1_3.0_1694558116929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_portuguese_cased","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_portuguese_cased", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_portuguese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/neuralmind/bert-large-portuguese-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_bengali_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_bengali_en.md
new file mode 100644
index 00000000000000..b839e31e6a0881
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_bengali_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_bengali BertEmbeddings from koala
+author: John Snow Labs
+name: bert_large_uncased_bengali
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_bengali` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_bengali_en_5.1.1_3.0_1694508782600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_bengali_en_5.1.1_3.0_1694508782600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_bengali","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_bengali", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_bengali|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/koala/bert-large-uncased-bn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_chinese_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_chinese_en.md
new file mode 100644
index 00000000000000..4635e55be80a82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_chinese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_chinese BertEmbeddings from koala
+author: John Snow Labs
+name: bert_large_uncased_chinese
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_chinese` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_chinese_en_5.1.1_3.0_1694510115547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_chinese_en_5.1.1_3.0_1694510115547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_chinese","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_chinese", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_chinese|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/koala/bert-large-uncased-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_english_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_english_en.md
new file mode 100644
index 00000000000000..817bdf437e90dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_english BertEmbeddings from koala
+author: John Snow Labs
+name: bert_large_uncased_english
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_english` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_english_en_5.1.1_3.0_1694509318989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_english_en_5.1.1_3.0_1694509318989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_english","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_english", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_english|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/koala/bert-large-uncased-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_clinc150_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_clinc150_en.md
new file mode 100644
index 00000000000000..9bd92193e94568
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_clinc150_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_clinc150 BertEmbeddings from FilippoComastri
+author: John Snow Labs
+name: bert_large_uncased_finetuned_clinc150
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_finetuned_clinc150` is a English model originally trained by FilippoComastri.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_clinc150_en_5.1.1_3.0_1694552611395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_clinc150_en_5.1.1_3.0_1694552611395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_finetuned_clinc150","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_finetuned_clinc150", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_clinc150|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/FilippoComastri/bert-large-uncased-finetuned-clinc150
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_da_zero_shot_20_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_da_zero_shot_20_en.md
new file mode 100644
index 00000000000000..320e405c61ac4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_da_zero_shot_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_da_zero_shot_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_uncased_finetuned_da_zero_shot_20
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_finetuned_da_zero_shot_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_da_zero_shot_20_en_5.1.1_3.0_1694560241206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_da_zero_shot_20_en_5.1.1_3.0_1694560241206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_finetuned_da_zero_shot_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_finetuned_da_zero_shot_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_da_zero_shot_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-uncased-finetuned-DA-Zero-shot-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_da_zero_shot_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_da_zero_shot_en.md
new file mode 100644
index 00000000000000..d519bada948a6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_da_zero_shot_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_da_zero_shot BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_uncased_finetuned_da_zero_shot
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_finetuned_da_zero_shot` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_da_zero_shot_en_5.1.1_3.0_1694559743511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_da_zero_shot_en_5.1.1_3.0_1694559743511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_finetuned_da_zero_shot","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_finetuned_da_zero_shot", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_da_zero_shot|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-uncased-finetuned-DA-Zero-shot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_imdb_en.md
new file mode 100644
index 00000000000000..77acfb49b7ec77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_imdb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_imdb BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_uncased_finetuned_imdb
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_finetuned_imdb` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_imdb_en_5.1.1_3.0_1694559416760.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_imdb_en_5.1.1_3.0_1694559416760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_finetuned_imdb","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_finetuned_imdb", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_imdb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_youcook_4_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_youcook_4_en.md
new file mode 100644
index 00000000000000..50c15d66752ada
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_finetuned_youcook_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_youcook_4 BertEmbeddings from CennetOguz
+author: John Snow Labs
+name: bert_large_uncased_finetuned_youcook_4
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_finetuned_youcook_4` is a English model originally trained by CennetOguz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_youcook_4_en_5.1.1_3.0_1694560592308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_youcook_4_en_5.1.1_3.0_1694560592308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_finetuned_youcook_4","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_finetuned_youcook_4", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_youcook_4|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CennetOguz/bert-large-uncased-finetuned-youcook_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_german_en.md
new file mode 100644
index 00000000000000..4df357b4bde208
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_german BertEmbeddings from koala
+author: John Snow Labs
+name: bert_large_uncased_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_german` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_german_en_5.1.1_3.0_1694509061010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_german_en_5.1.1_3.0_1694509061010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/koala/bert-large-uncased-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_hindi_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_hindi_en.md
new file mode 100644
index 00000000000000..d47ae7e623ad40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_hindi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_hindi BertEmbeddings from koala
+author: John Snow Labs
+name: bert_large_uncased_hindi
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_hindi` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hindi_en_5.1.1_3.0_1694509561973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hindi_en_5.1.1_3.0_1694509561973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_hindi","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_hindi", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_hindi|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/koala/bert-large-uncased-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_korean_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_korean_en.md
new file mode 100644
index 00000000000000..e450ff959c84e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_large_uncased_korean_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_korean BertEmbeddings from koala
+author: John Snow Labs
+name: bert_large_uncased_korean
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_korean` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_korean_en_5.1.1_3.0_1694509833455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_korean_en_5.1.1_3.0_1694509833455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_korean","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_korean", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_korean|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/koala/bert-large-uncased-ko
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_ltrc_telugu_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_ltrc_telugu_en.md
new file mode 100644
index 00000000000000..009d029dcf02f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_ltrc_telugu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ltrc_telugu BertEmbeddings from ltrctelugu
+author: John Snow Labs
+name: bert_ltrc_telugu
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_ltrc_telugu` is a English model originally trained by ltrctelugu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ltrc_telugu_en_5.1.1_3.0_1694549907705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ltrc_telugu_en_5.1.1_3.0_1694549907705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_ltrc_telugu","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_ltrc_telugu", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ltrc_telugu|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/ltrctelugu/bert_ltrc_telugu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_persian_poetry_fa.md b/docs/_posts/ahmedlone127/2023-09-12-bert_persian_poetry_fa.md
new file mode 100644
index 00000000000000..9155037bc88afe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_persian_poetry_fa.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Persian bert_persian_poetry BertEmbeddings from mitra-mir
+author: John Snow Labs
+name: bert_persian_poetry
+date: 2023-09-12
+tags: [bert, fa, open_source, fill_mask, onnx]
+task: Embeddings
+language: fa
+edition: Spark NLP 5.1.1
+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_poetry` is a Persian model originally trained by mitra-mir.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_persian_poetry_fa_5.1.1_3.0_1694553964697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_persian_poetry_fa_5.1.1_3.0_1694553964697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_persian_poetry","fa") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_persian_poetry", "fa")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_persian_poetry|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|fa|
+|Size:|441.4 MB|
+
+## References
+
+https://huggingface.co/mitra-mir/BERT-Persian-Poetry
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_political_election2020_twitter_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_political_election2020_twitter_mlm_en.md
new file mode 100644
index 00000000000000..0a2651b7446a9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_political_election2020_twitter_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_political_election2020_twitter_mlm BertEmbeddings from kornosk
+author: John Snow Labs
+name: bert_political_election2020_twitter_mlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_political_election2020_twitter_mlm` is a English model originally trained by kornosk.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_political_election2020_twitter_mlm_en_5.1.1_3.0_1694510414367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_political_election2020_twitter_mlm_en_5.1.1_3.0_1694510414367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_political_election2020_twitter_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_political_election2020_twitter_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_political_election2020_twitter_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/kornosk/bert-political-election2020-twitter-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_tagalog_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_tagalog_base_uncased_en.md
new file mode 100644
index 00000000000000..f2cdce9badceed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_tagalog_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tagalog_base_uncased BertEmbeddings from GKLMIP
+author: John Snow Labs
+name: bert_tagalog_base_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_tagalog_base_uncased` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tagalog_base_uncased_en_5.1.1_3.0_1694549199633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tagalog_base_uncased_en_5.1.1_3.0_1694549199633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_tagalog_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_tagalog_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tagalog_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|469.7 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/bert-tagalog-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_test_andychiang_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_test_andychiang_en.md
new file mode 100644
index 00000000000000..3cb148360a70e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_test_andychiang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_test_andychiang BertEmbeddings from AndyChiang
+author: John Snow Labs
+name: bert_test_andychiang
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_test_andychiang` is a English model originally trained by AndyChiang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_test_andychiang_en_5.1.1_3.0_1694559088930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_test_andychiang_en_5.1.1_3.0_1694559088930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_test_andychiang","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_test_andychiang", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_test_andychiang|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/AndyChiang/bert-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_uncased_finetuned_model_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_uncased_finetuned_model_en.md
new file mode 100644
index 00000000000000..83cc82471ed04c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_uncased_finetuned_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_finetuned_model BertEmbeddings from harvinder676
+author: John Snow Labs
+name: bert_uncased_finetuned_model
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_finetuned_model` is a English model originally trained by harvinder676.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_finetuned_model_en_5.1.1_3.0_1694556527374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_finetuned_model_en_5.1.1_3.0_1694556527374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_finetuned_model","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_finetuned_model", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_finetuned_model|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/harvinder676/bert-uncased-finetuned-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_uncased_l_12_h_768_a_12_italian_alb3rt0_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_uncased_l_12_h_768_a_12_italian_alb3rt0_en.md
new file mode 100644
index 00000000000000..df43c41eaccefa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bert_uncased_l_12_h_768_a_12_italian_alb3rt0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_l_12_h_768_a_12_italian_alb3rt0 BertEmbeddings from m-polignano-uniba
+author: John Snow Labs
+name: bert_uncased_l_12_h_768_a_12_italian_alb3rt0
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_l_12_h_768_a_12_italian_alb3rt0` is a English model originally trained by m-polignano-uniba.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_12_h_768_a_12_italian_alb3rt0_en_5.1.1_3.0_1694550811678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_12_h_768_a_12_italian_alb3rt0_en_5.1.1_3.0_1694550811678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_l_12_h_768_a_12_italian_alb3rt0","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_l_12_h_768_a_12_italian_alb3rt0", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_12_h_768_a_12_italian_alb3rt0|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|689.7 MB|
+
+## References
+
+https://huggingface.co/m-polignano-uniba/bert_uncased_L-12_H-768_A-12_italian_alb3rt0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertabaporu_base_uncased_pt.md b/docs/_posts/ahmedlone127/2023-09-12-bertabaporu_base_uncased_pt.md
new file mode 100644
index 00000000000000..0140312ebe2270
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertabaporu_base_uncased_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bertabaporu_base_uncased BertEmbeddings from pablocosta
+author: John Snow Labs
+name: bertabaporu_base_uncased
+date: 2023-09-12
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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.`bertabaporu_base_uncased` is a Portuguese model originally trained by pablocosta.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertabaporu_base_uncased_pt_5.1.1_3.0_1694556656111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertabaporu_base_uncased_pt_5.1.1_3.0_1694556656111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertabaporu_base_uncased","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertabaporu_base_uncased", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertabaporu_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|504.8 MB|
+
+## References
+
+https://huggingface.co/pablocosta/bertabaporu-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertabaporu_large_uncased_pt.md b/docs/_posts/ahmedlone127/2023-09-12-bertabaporu_large_uncased_pt.md
new file mode 100644
index 00000000000000..f530999d960781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertabaporu_large_uncased_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bertabaporu_large_uncased BertEmbeddings from pablocosta
+author: John Snow Labs
+name: bertabaporu_large_uncased
+date: 2023-09-12
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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.`bertabaporu_large_uncased` is a Portuguese model originally trained by pablocosta.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertabaporu_large_uncased_pt_5.1.1_3.0_1694556951243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertabaporu_large_uncased_pt_5.1.1_3.0_1694556951243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertabaporu_large_uncased","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertabaporu_large_uncased", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertabaporu_large_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/pablocosta/bertabaporu-large-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_1e_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_1e_en.md
new file mode 100644
index 00000000000000..c433c7b1c1cdf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_1e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertbase_ug_1e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: bertbase_ug_1e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertbase_ug_1e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertbase_ug_1e_en_5.1.1_3.0_1694559625780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertbase_ug_1e_en_5.1.1_3.0_1694559625780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertbase_ug_1e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertbase_ug_1e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertbase_ug_1e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.1 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/BertBase_UG_1e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_2e_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_2e_en.md
new file mode 100644
index 00000000000000..7bdf0ba53b5e80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_2e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertbase_ug_2e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: bertbase_ug_2e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertbase_ug_2e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertbase_ug_2e_en_5.1.1_3.0_1694559815371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertbase_ug_2e_en_5.1.1_3.0_1694559815371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertbase_ug_2e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertbase_ug_2e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertbase_ug_2e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|493.6 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/BertBase_UG_2e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_3e_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_3e_en.md
new file mode 100644
index 00000000000000..064c1de630ce77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertbase_ug_3e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertbase_ug_3e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: bertbase_ug_3e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertbase_ug_3e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertbase_ug_3e_en_5.1.1_3.0_1694559989794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertbase_ug_3e_en_5.1.1_3.0_1694559989794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertbase_ug_3e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertbase_ug_3e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertbase_ug_3e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|492.9 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/BertBase_UG_3e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_1e_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_1e_en.md
new file mode 100644
index 00000000000000..adfb015f86eb3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_1e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertbasekk_1e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: bertbasekk_1e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertbasekk_1e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertbasekk_1e_en_5.1.1_3.0_1694553907199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertbasekk_1e_en_5.1.1_3.0_1694553907199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertbasekk_1e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertbasekk_1e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertbasekk_1e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.1 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/BertBaseKK_1e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_2e_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_2e_en.md
new file mode 100644
index 00000000000000..cd439282d3971e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_2e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertbasekk_2e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: bertbasekk_2e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertbasekk_2e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertbasekk_2e_en_5.1.1_3.0_1694558294650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertbasekk_2e_en_5.1.1_3.0_1694558294650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertbasekk_2e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertbasekk_2e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertbasekk_2e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|493.5 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/BertBaseKK_2e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_3e_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_3e_en.md
new file mode 100644
index 00000000000000..664ccdcda5be16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertbasekk_3e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertbasekk_3e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: bertbasekk_3e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertbasekk_3e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertbasekk_3e_en_5.1.1_3.0_1694558506984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertbasekk_3e_en_5.1.1_3.0_1694558506984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertbasekk_3e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertbasekk_3e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertbasekk_3e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|492.9 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/BertBaseKK_3e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertimbaulaw_base_portuguese_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertimbaulaw_base_portuguese_cased_en.md
new file mode 100644
index 00000000000000..2860b20b5c3843
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertimbaulaw_base_portuguese_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertimbaulaw_base_portuguese_cased BertEmbeddings from alfaneo
+author: John Snow Labs
+name: bertimbaulaw_base_portuguese_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertimbaulaw_base_portuguese_cased` is a English model originally trained by alfaneo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertimbaulaw_base_portuguese_cased_en_5.1.1_3.0_1694557285783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertimbaulaw_base_portuguese_cased_en_5.1.1_3.0_1694557285783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertimbaulaw_base_portuguese_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertimbaulaw_base_portuguese_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertimbaulaw_base_portuguese_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.8 MB|
+
+## References
+
+https://huggingface.co/alfaneo/bertimbaulaw-base-portuguese-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdata_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdata_en.md
new file mode 100644
index 00000000000000..5f86509ecf8c0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdata_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdata BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdata
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdata` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdata_en_5.1.1_3.0_1694561421127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdata_en_5.1.1_3.0_1694561421127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdata","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdata", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdata|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialData
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataall03_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataall03_en.md
new file mode 100644
index 00000000000000..c3596f32f058aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataall03_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataall03 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataall03
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataall03` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataall03_en_5.1.1_3.0_1694561834775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataall03_en_5.1.1_3.0_1694561834775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataall03","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataall03", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataall03|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALL03
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly02_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly02_en.md
new file mode 100644
index 00000000000000..746f768027b890
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly02_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly02 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly02
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly02` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly02_en_5.1.1_3.0_1694562283503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly02_en_5.1.1_3.0_1694562283503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly02","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly02", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly02|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly03_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly03_en.md
new file mode 100644
index 00000000000000..a6fa8c74e184dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly03_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly03 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly03
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly03` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly03_en_5.1.1_3.0_1694562426971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly03_en_5.1.1_3.0_1694562426971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly03","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly03", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly03|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly03
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly05_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly05_en.md
new file mode 100644
index 00000000000000..189dd7a9d07187
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly05_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly05 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly05
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly05` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly05_en_5.1.1_3.0_1694562715391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly05_en_5.1.1_3.0_1694562715391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly05","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly05", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly05|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly06_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly06_en.md
new file mode 100644
index 00000000000000..b4e3b5cb261d20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly06_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly06 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly06
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly06` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly06_en_5.1.1_3.0_1694562884246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly06_en_5.1.1_3.0_1694562884246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly06","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly06", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly06|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly06
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly07_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly07_en.md
new file mode 100644
index 00000000000000..2dfc8a0c42b127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly07_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly07 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly07
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly07` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly07_en_5.1.1_3.0_1694563003244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly07_en_5.1.1_3.0_1694563003244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly07","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly07", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly07|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly07
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly08_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly08_en.md
new file mode 100644
index 00000000000000..d82bd962260441
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly08_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly08 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly08
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly08` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly08_en_5.1.1_3.0_1694563138956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly08_en_5.1.1_3.0_1694563138956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly08","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly08", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly08|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly08
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly_en.md b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly_en.md
new file mode 100644
index 00000000000000..80c0ad1a0239c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bertjewdialdataallqonly_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly_en_5.1.1_3.0_1694562127211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly_en_5.1.1_3.0_1694562127211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-beto_clinical_wl_spanish_es.md b/docs/_posts/ahmedlone127/2023-09-12-beto_clinical_wl_spanish_es.md
new file mode 100644
index 00000000000000..a8541213471dab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-beto_clinical_wl_spanish_es.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Castilian, Spanish beto_clinical_wl_spanish BertEmbeddings from plncmm
+author: John Snow Labs
+name: beto_clinical_wl_spanish
+date: 2023-09-12
+tags: [bert, es, open_source, fill_mask, onnx]
+task: Embeddings
+language: es
+edition: Spark NLP 5.1.1
+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.`beto_clinical_wl_spanish` is a Castilian, Spanish model originally trained by plncmm.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_clinical_wl_spanish_es_5.1.1_3.0_1694510336701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_clinical_wl_spanish_es_5.1.1_3.0_1694510336701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("beto_clinical_wl_spanish","es") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("beto_clinical_wl_spanish", "es")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_clinical_wl_spanish|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/plncmm/beto-clinical-wl-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bio_bert_base_spanish_wwm_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-bio_bert_base_spanish_wwm_cased_en.md
new file mode 100644
index 00000000000000..bbc180b3cb44a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bio_bert_base_spanish_wwm_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bio_bert_base_spanish_wwm_cased BertEmbeddings from mrojas
+author: John Snow Labs
+name: bio_bert_base_spanish_wwm_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_bert_base_spanish_wwm_cased` is a English model originally trained by mrojas.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_bert_base_spanish_wwm_cased_en_5.1.1_3.0_1694556544912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_bert_base_spanish_wwm_cased_en_5.1.1_3.0_1694556544912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bio_bert_base_spanish_wwm_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bio_bert_base_spanish_wwm_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_bert_base_spanish_wwm_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-biobert_italian_en.md b/docs/_posts/ahmedlone127/2023-09-12-biobert_italian_en.md
new file mode 100644
index 00000000000000..a0dc73da5299ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-biobert_italian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_italian BertEmbeddings from marcopost-it
+author: John Snow Labs
+name: biobert_italian
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`biobert_italian` is a English model originally trained by marcopost-it.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_italian_en_5.1.1_3.0_1694551323419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_italian_en_5.1.1_3.0_1694551323419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biobert_italian","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biobert_italian", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_italian|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/marcopost-it/biobert-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-biobert_patent_reference_extraction_en.md b/docs/_posts/ahmedlone127/2023-09-12-biobert_patent_reference_extraction_en.md
new file mode 100644
index 00000000000000..3b583aca84bfbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-biobert_patent_reference_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_patent_reference_extraction BertEmbeddings from kaesve
+author: John Snow Labs
+name: biobert_patent_reference_extraction
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`biobert_patent_reference_extraction` is a English model originally trained by kaesve.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_patent_reference_extraction_en_5.1.1_3.0_1694507994597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_patent_reference_extraction_en_5.1.1_3.0_1694507994597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biobert_patent_reference_extraction","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biobert_patent_reference_extraction", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_patent_reference_extraction|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/kaesve/BioBERT_patent_reference_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-biobert_v1.1_pubmed_en.md b/docs/_posts/ahmedlone127/2023-09-12-biobert_v1.1_pubmed_en.md
new file mode 100644
index 00000000000000..b6795b741d65a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-biobert_v1.1_pubmed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_v1.1_pubmed BertEmbeddings from monologg
+author: John Snow Labs
+name: biobert_v1.1_pubmed
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`biobert_v1.1_pubmed` is a English model originally trained by monologg.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_v1.1_pubmed_en_5.1.1_3.0_1694554769599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_v1.1_pubmed_en_5.1.1_3.0_1694554769599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biobert_v1.1_pubmed","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biobert_v1.1_pubmed", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_v1.1_pubmed|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/monologg/biobert_v1.1_pubmed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bioclinicalbert_finetuned_covid_papers_en.md b/docs/_posts/ahmedlone127/2023-09-12-bioclinicalbert_finetuned_covid_papers_en.md
new file mode 100644
index 00000000000000..512beedd3752f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bioclinicalbert_finetuned_covid_papers_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bioclinicalbert_finetuned_covid_papers BertEmbeddings from mrm8488
+author: John Snow Labs
+name: bioclinicalbert_finetuned_covid_papers
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bioclinicalbert_finetuned_covid_papers` is a English model originally trained by mrm8488.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bioclinicalbert_finetuned_covid_papers_en_5.1.1_3.0_1694556257175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bioclinicalbert_finetuned_covid_papers_en_5.1.1_3.0_1694556257175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bioclinicalbert_finetuned_covid_papers","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bioclinicalbert_finetuned_covid_papers", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bioclinicalbert_finetuned_covid_papers|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.2 MB|
+
+## References
+
+https://huggingface.co/mrm8488/bioclinicalBERT-finetuned-covid-papers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-09-12-biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 00000000000000..423700e0cb5575
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_base_uncased_abstract BertEmbeddings from microsoft
+author: John Snow Labs
+name: biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by microsoft.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_en_5.1.1_3.0_1694553564368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_en_5.1.1_3.0_1694553564368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biomednlp_pubmedbert_base_uncased_abstract","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biomednlp_pubmedbert_base_uncased_abstract", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-bodo_bert_mlm_base_en.md b/docs/_posts/ahmedlone127/2023-09-12-bodo_bert_mlm_base_en.md
new file mode 100644
index 00000000000000..b20ee811c39217
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-bodo_bert_mlm_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bodo_bert_mlm_base BertEmbeddings from alayaran
+author: John Snow Labs
+name: bodo_bert_mlm_base
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bodo_bert_mlm_base` is a English model originally trained by alayaran.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bodo_bert_mlm_base_en_5.1.1_3.0_1694509384576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bodo_bert_mlm_base_en_5.1.1_3.0_1694509384576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bodo_bert_mlm_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bodo_bert_mlm_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bodo_bert_mlm_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/alayaran/bodo-bert-mlm-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-burmese_bert_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-burmese_bert_mlm_en.md
new file mode 100644
index 00000000000000..9cbed457538a52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-burmese_bert_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_bert_mlm BertEmbeddings from minn
+author: John Snow Labs
+name: burmese_bert_mlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`burmese_bert_mlm` is a English model originally trained by minn.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_bert_mlm_en_5.1.1_3.0_1694553778330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_bert_mlm_en_5.1.1_3.0_1694553778330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("burmese_bert_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("burmese_bert_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.2 MB|
+
+## References
+
+https://huggingface.co/minn/my-bert-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_note_en.md b/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_note_en.md
new file mode 100644
index 00000000000000..ffb6856020bd46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_note_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinicaladaptation_pubmedbert_base_uncased_mimic_note BertEmbeddings from jhliu
+author: John Snow Labs
+name: clinicaladaptation_pubmedbert_base_uncased_mimic_note
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clinicaladaptation_pubmedbert_base_uncased_mimic_note` is a English model originally trained by jhliu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicaladaptation_pubmedbert_base_uncased_mimic_note_en_5.1.1_3.0_1694550817266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicaladaptation_pubmedbert_base_uncased_mimic_note_en_5.1.1_3.0_1694550817266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clinicaladaptation_pubmedbert_base_uncased_mimic_note","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clinicaladaptation_pubmedbert_base_uncased_mimic_note", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicaladaptation_pubmedbert_base_uncased_mimic_note|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/jhliu/ClinicalAdaptation-PubMedBERT-base-uncased-MIMIC-note
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_segment_en.md b/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_segment_en.md
new file mode 100644
index 00000000000000..9b4dc43c91f411
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_segment_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinicaladaptation_pubmedbert_base_uncased_mimic_segment BertEmbeddings from jhliu
+author: John Snow Labs
+name: clinicaladaptation_pubmedbert_base_uncased_mimic_segment
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clinicaladaptation_pubmedbert_base_uncased_mimic_segment` is a English model originally trained by jhliu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicaladaptation_pubmedbert_base_uncased_mimic_segment_en_5.1.1_3.0_1694550645740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicaladaptation_pubmedbert_base_uncased_mimic_segment_en_5.1.1_3.0_1694550645740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clinicaladaptation_pubmedbert_base_uncased_mimic_segment","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clinicaladaptation_pubmedbert_base_uncased_mimic_segment", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicaladaptation_pubmedbert_base_uncased_mimic_segment|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/jhliu/ClinicalAdaptation-PubMedBERT-base-uncased-MIMIC-segment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_sentence_en.md b/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_sentence_en.md
new file mode 100644
index 00000000000000..e4b370235616db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-clinicaladaptation_pubmedbert_base_uncased_mimic_sentence_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinicaladaptation_pubmedbert_base_uncased_mimic_sentence BertEmbeddings from jhliu
+author: John Snow Labs
+name: clinicaladaptation_pubmedbert_base_uncased_mimic_sentence
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clinicaladaptation_pubmedbert_base_uncased_mimic_sentence` is a English model originally trained by jhliu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicaladaptation_pubmedbert_base_uncased_mimic_sentence_en_5.1.1_3.0_1694550482919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicaladaptation_pubmedbert_base_uncased_mimic_sentence_en_5.1.1_3.0_1694550482919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clinicaladaptation_pubmedbert_base_uncased_mimic_sentence","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clinicaladaptation_pubmedbert_base_uncased_mimic_sentence", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicaladaptation_pubmedbert_base_uncased_mimic_sentence|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/jhliu/ClinicalAdaptation-PubMedBERT-base-uncased-MIMIC-sentence
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-clinicalnotebert_base_uncased_mimic_segment_note_en.md b/docs/_posts/ahmedlone127/2023-09-12-clinicalnotebert_base_uncased_mimic_segment_note_en.md
new file mode 100644
index 00000000000000..b8f6d52173905d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-clinicalnotebert_base_uncased_mimic_segment_note_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinicalnotebert_base_uncased_mimic_segment_note BertEmbeddings from jhliu
+author: John Snow Labs
+name: clinicalnotebert_base_uncased_mimic_segment_note
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clinicalnotebert_base_uncased_mimic_segment_note` is a English model originally trained by jhliu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicalnotebert_base_uncased_mimic_segment_note_en_5.1.1_3.0_1694550310365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicalnotebert_base_uncased_mimic_segment_note_en_5.1.1_3.0_1694550310365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clinicalnotebert_base_uncased_mimic_segment_note","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clinicalnotebert_base_uncased_mimic_segment_note", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalnotebert_base_uncased_mimic_segment_note|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/jhliu/ClinicalNoteBERT-base-uncased-MIMIC-segment-note
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-covid19_fake_news_bert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-covid19_fake_news_bert_uncased_en.md
new file mode 100644
index 00000000000000..a6af0e72f2bd6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-covid19_fake_news_bert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English covid19_fake_news_bert_uncased BertEmbeddings from Jawaher
+author: John Snow Labs
+name: covid19_fake_news_bert_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`covid19_fake_news_bert_uncased` is a English model originally trained by Jawaher.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid19_fake_news_bert_uncased_en_5.1.1_3.0_1694510515872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid19_fake_news_bert_uncased_en_5.1.1_3.0_1694510515872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("covid19_fake_news_bert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("covid19_fake_news_bert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid19_fake_news_bert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Jawaher/Covid19-fake-news-bert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-covid_scibert_en.md b/docs/_posts/ahmedlone127/2023-09-12-covid_scibert_en.md
new file mode 100644
index 00000000000000..75b293db51c7a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-covid_scibert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English covid_scibert BertEmbeddings from lordtt13
+author: John Snow Labs
+name: covid_scibert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`covid_scibert` is a English model originally trained by lordtt13.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_scibert_en_5.1.1_3.0_1694549378978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_scibert_en_5.1.1_3.0_1694549378978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("covid_scibert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("covid_scibert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_scibert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/lordtt13/COVID-SciBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-covid_vaccine_twitter_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-covid_vaccine_twitter_bert_en.md
new file mode 100644
index 00000000000000..2189a1b689145b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-covid_vaccine_twitter_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English covid_vaccine_twitter_bert BertEmbeddings from GateNLP
+author: John Snow Labs
+name: covid_vaccine_twitter_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`covid_vaccine_twitter_bert` is a English model originally trained by GateNLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_vaccine_twitter_bert_en_5.1.1_3.0_1694553221558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_vaccine_twitter_bert_en_5.1.1_3.0_1694553221558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("covid_vaccine_twitter_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("covid_vaccine_twitter_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_vaccine_twitter_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/GateNLP/covid-vaccine-twitter-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-cro_cov_csebert_en.md b/docs/_posts/ahmedlone127/2023-09-12-cro_cov_csebert_en.md
new file mode 100644
index 00000000000000..a82e91d1fe4222
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-cro_cov_csebert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cro_cov_csebert BertEmbeddings from InfoCoV
+author: John Snow Labs
+name: cro_cov_csebert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`cro_cov_csebert` is a English model originally trained by InfoCoV.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cro_cov_csebert_en_5.1.1_3.0_1694559840041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cro_cov_csebert_en_5.1.1_3.0_1694559840041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("cro_cov_csebert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("cro_cov_csebert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cro_cov_csebert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|463.4 MB|
+
+## References
+
+https://huggingface.co/InfoCoV/Cro-CoV-cseBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-crosloengual_bert_hr.md b/docs/_posts/ahmedlone127/2023-09-12-crosloengual_bert_hr.md
new file mode 100644
index 00000000000000..f3a4c1d30af803
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-crosloengual_bert_hr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Croatian crosloengual_bert BertEmbeddings from EMBEDDIA
+author: John Snow Labs
+name: crosloengual_bert
+date: 2023-09-12
+tags: [bert, hr, open_source, fill_mask, onnx]
+task: Embeddings
+language: hr
+edition: Spark NLP 5.1.1
+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.`crosloengual_bert` is a Croatian model originally trained by EMBEDDIA.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crosloengual_bert_hr_5.1.1_3.0_1694509284745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crosloengual_bert_hr_5.1.1_3.0_1694509284745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("crosloengual_bert","hr") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("crosloengual_bert", "hr")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|crosloengual_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hr|
+|Size:|463.4 MB|
+
+## References
+
+https://huggingface.co/EMBEDDIA/crosloengual-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-custominlawbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-custominlawbert_en.md
new file mode 100644
index 00000000000000..7cfed09f199915
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-custominlawbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English custominlawbert BertEmbeddings from law-ai
+author: John Snow Labs
+name: custominlawbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`custominlawbert` is a English model originally trained by law-ai.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custominlawbert_en_5.1.1_3.0_1694553237351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custominlawbert_en_5.1.1_3.0_1694553237351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("custominlawbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("custominlawbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|custominlawbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/law-ai/CustomInLawBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-cysecbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-cysecbert_en.md
new file mode 100644
index 00000000000000..124d42903439a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-cysecbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cysecbert BertEmbeddings from markusbayer
+author: John Snow Labs
+name: cysecbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`cysecbert` is a English model originally trained by markusbayer.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cysecbert_en_5.1.1_3.0_1694559903370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cysecbert_en_5.1.1_3.0_1694559903370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("cysecbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("cysecbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cysecbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/markusbayer/CySecBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dal_bert_finetuned_address_v1_en.md b/docs/_posts/ahmedlone127/2023-09-12-dal_bert_finetuned_address_v1_en.md
new file mode 100644
index 00000000000000..7352a07970a0f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dal_bert_finetuned_address_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dal_bert_finetuned_address_v1 BertEmbeddings from IRI2070
+author: John Snow Labs
+name: dal_bert_finetuned_address_v1
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dal_bert_finetuned_address_v1` is a English model originally trained by IRI2070.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dal_bert_finetuned_address_v1_en_5.1.1_3.0_1694554981931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dal_bert_finetuned_address_v1_en_5.1.1_3.0_1694554981931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dal_bert_finetuned_address_v1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dal_bert_finetuned_address_v1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dal_bert_finetuned_address_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|432.1 MB|
+
+## References
+
+https://huggingface.co/IRI2070/dal-bert-finetuned-address-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-deberta_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-deberta_base_uncased_en.md
new file mode 100644
index 00000000000000..44870658d01905
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-deberta_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English deberta_base_uncased BertEmbeddings from mlcorelib
+author: John Snow Labs
+name: deberta_base_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`deberta_base_uncased` is a English model originally trained by mlcorelib.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_base_uncased_en_5.1.1_3.0_1694554096071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_base_uncased_en_5.1.1_3.0_1694554096071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("deberta_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("deberta_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/mlcorelib/deberta-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-divehi_labse_dv.md b/docs/_posts/ahmedlone127/2023-09-12-divehi_labse_dv.md
new file mode 100644
index 00000000000000..7019823ece87a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-divehi_labse_dv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian divehi_labse BertEmbeddings from monsoon-nlp
+author: John Snow Labs
+name: divehi_labse
+date: 2023-09-12
+tags: [bert, dv, open_source, fill_mask, onnx]
+task: Embeddings
+language: dv
+edition: Spark NLP 5.1.1
+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.`divehi_labse` is a Dhivehi, Divehi, Maldivian model originally trained by monsoon-nlp.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/divehi_labse_dv_5.1.1_3.0_1694555287990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/divehi_labse_dv_5.1.1_3.0_1694555287990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("divehi_labse","dv") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("divehi_labse", "dv")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|divehi_labse|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|dv|
+|Size:|1.9 GB|
+
+## References
+
+https://huggingface.co/monsoon-nlp/dv-labse
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-divehi_muril_dv.md b/docs/_posts/ahmedlone127/2023-09-12-divehi_muril_dv.md
new file mode 100644
index 00000000000000..7b13bb38cf35a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-divehi_muril_dv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian divehi_muril BertEmbeddings from monsoon-nlp
+author: John Snow Labs
+name: divehi_muril
+date: 2023-09-12
+tags: [bert, dv, open_source, fill_mask, onnx]
+task: Embeddings
+language: dv
+edition: Spark NLP 5.1.1
+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.`divehi_muril` is a Dhivehi, Divehi, Maldivian model originally trained by monsoon-nlp.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/divehi_muril_dv_5.1.1_3.0_1694555552470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/divehi_muril_dv_5.1.1_3.0_1694555552470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("divehi_muril","dv") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("divehi_muril", "dv")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|divehi_muril|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|dv|
+|Size:|919.1 MB|
+
+## References
+
+https://huggingface.co/monsoon-nlp/dv-muril
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_en.md
new file mode 100644
index 00000000000000..3d73ff9eaffdb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dlub_2022_mlm BertEmbeddings from bayartsogt
+author: John Snow Labs
+name: dlub_2022_mlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dlub_2022_mlm` is a English model originally trained by bayartsogt.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_en_5.1.1_3.0_1694555892646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_en_5.1.1_3.0_1694555892646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dlub_2022_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dlub_2022_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dlub_2022_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/bayartsogt/dlub-2022-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_gansukh_en.md b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_gansukh_en.md
new file mode 100644
index 00000000000000..c1b12f7c896339
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_gansukh_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dlub_2022_mlm_full_gansukh BertEmbeddings from Gansukh
+author: John Snow Labs
+name: dlub_2022_mlm_full_gansukh
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dlub_2022_mlm_full_gansukh` is a English model originally trained by Gansukh.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_full_gansukh_en_5.1.1_3.0_1694555350358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_full_gansukh_en_5.1.1_3.0_1694555350358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dlub_2022_mlm_full_gansukh","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dlub_2022_mlm_full_gansukh", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dlub_2022_mlm_full_gansukh|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/Gansukh/dlub-2022-mlm-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_ganzorig_en.md b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_ganzorig_en.md
new file mode 100644
index 00000000000000..8b063a7d5ded53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_ganzorig_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dlub_2022_mlm_full_ganzorig BertEmbeddings from ganzorig
+author: John Snow Labs
+name: dlub_2022_mlm_full_ganzorig
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dlub_2022_mlm_full_ganzorig` is a English model originally trained by ganzorig.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_full_ganzorig_en_5.1.1_3.0_1694555674512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_full_ganzorig_en_5.1.1_3.0_1694555674512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dlub_2022_mlm_full_ganzorig","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dlub_2022_mlm_full_ganzorig", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dlub_2022_mlm_full_ganzorig|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/ganzorig/dlub-2022-mlm-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_omunkhuush_en.md b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_omunkhuush_en.md
new file mode 100644
index 00000000000000..9085341fd867d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dlub_2022_mlm_full_omunkhuush_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dlub_2022_mlm_full_omunkhuush BertEmbeddings from omunkhuush
+author: John Snow Labs
+name: dlub_2022_mlm_full_omunkhuush
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dlub_2022_mlm_full_omunkhuush` is a English model originally trained by omunkhuush.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_full_omunkhuush_en_5.1.1_3.0_1694555506851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dlub_2022_mlm_full_omunkhuush_en_5.1.1_3.0_1694555506851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dlub_2022_mlm_full_omunkhuush","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dlub_2022_mlm_full_omunkhuush", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dlub_2022_mlm_full_omunkhuush|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/omunkhuush/dlub-2022-mlm-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dmis_bertpubmed_en.md b/docs/_posts/ahmedlone127/2023-09-12-dmis_bertpubmed_en.md
new file mode 100644
index 00000000000000..d08f5b31244e6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dmis_bertpubmed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dmis_bertpubmed BertEmbeddings from abnuel
+author: John Snow Labs
+name: dmis_bertpubmed
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dmis_bertpubmed` is a English model originally trained by abnuel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dmis_bertpubmed_en_5.1.1_3.0_1694561812368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dmis_bertpubmed_en_5.1.1_3.0_1694561812368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dmis_bertpubmed","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dmis_bertpubmed", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dmis_bertpubmed|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/abnuel/dmis_bertpubmed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dpr_passage_uned_en.md b/docs/_posts/ahmedlone127/2023-09-12-dpr_passage_uned_en.md
new file mode 100644
index 00000000000000..e7ce09605c4ebe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dpr_passage_uned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dpr_passage_uned BertEmbeddings from avacaondata
+author: John Snow Labs
+name: dpr_passage_uned
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dpr_passage_uned` is a English model originally trained by avacaondata.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dpr_passage_uned_en_5.1.1_3.0_1694554318636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dpr_passage_uned_en_5.1.1_3.0_1694554318636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dpr_passage_uned","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dpr_passage_uned", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dpr_passage_uned|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/avacaondata/dpr-passage-uned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dpr_query_uned_en.md b/docs/_posts/ahmedlone127/2023-09-12-dpr_query_uned_en.md
new file mode 100644
index 00000000000000..1e3272bd6f9bcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dpr_query_uned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dpr_query_uned BertEmbeddings from avacaondata
+author: John Snow Labs
+name: dpr_query_uned
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dpr_query_uned` is a English model originally trained by avacaondata.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dpr_query_uned_en_5.1.1_3.0_1694554164070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dpr_query_uned_en_5.1.1_3.0_1694554164070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dpr_query_uned","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dpr_query_uned", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dpr_query_uned|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/avacaondata/dpr-query-uned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-drbert_4gb_cp_pubmedbert_fr.md b/docs/_posts/ahmedlone127/2023-09-12-drbert_4gb_cp_pubmedbert_fr.md
new file mode 100644
index 00000000000000..50d27a903f93f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-drbert_4gb_cp_pubmedbert_fr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: French drbert_4gb_cp_pubmedbert BertEmbeddings from Dr-BERT
+author: John Snow Labs
+name: drbert_4gb_cp_pubmedbert
+date: 2023-09-12
+tags: [bert, fr, open_source, fill_mask, onnx]
+task: Embeddings
+language: fr
+edition: Spark NLP 5.1.1
+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.`drbert_4gb_cp_pubmedbert` is a French model originally trained by Dr-BERT.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/drbert_4gb_cp_pubmedbert_fr_5.1.1_3.0_1694550608539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/drbert_4gb_cp_pubmedbert_fr_5.1.1_3.0_1694550608539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("drbert_4gb_cp_pubmedbert","fr") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("drbert_4gb_cp_pubmedbert", "fr")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|drbert_4gb_cp_pubmedbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|fr|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/Dr-BERT/DrBERT-4GB-CP-PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-drclips_en.md b/docs/_posts/ahmedlone127/2023-09-12-drclips_en.md
new file mode 100644
index 00000000000000..4a0d7ba74ff95d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-drclips_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English drclips BertEmbeddings from maximedb
+author: John Snow Labs
+name: drclips
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`drclips` is a English model originally trained by maximedb.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/drclips_en_5.1.1_3.0_1694552359667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/drclips_en_5.1.1_3.0_1694552359667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("drclips","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("drclips", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|drclips|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/maximedb/drclips
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-dummy_model_arthuerwang_en.md b/docs/_posts/ahmedlone127/2023-09-12-dummy_model_arthuerwang_en.md
new file mode 100644
index 00000000000000..e21a27e6031c61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-dummy_model_arthuerwang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dummy_model_arthuerwang BertEmbeddings from Arthuerwang
+author: John Snow Labs
+name: dummy_model_arthuerwang
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dummy_model_arthuerwang` is a English model originally trained by Arthuerwang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_arthuerwang_en_5.1.1_3.0_1694509846009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_arthuerwang_en_5.1.1_3.0_1694509846009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dummy_model_arthuerwang","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dummy_model_arthuerwang", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_arthuerwang|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Arthuerwang/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-europarl_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-europarl_mlm_en.md
new file mode 100644
index 00000000000000..aba29d2d6dfab6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-europarl_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English europarl_mlm BertEmbeddings from lukabor
+author: John Snow Labs
+name: europarl_mlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`europarl_mlm` is a English model originally trained by lukabor.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/europarl_mlm_en_5.1.1_3.0_1694550101034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/europarl_mlm_en_5.1.1_3.0_1694550101034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("europarl_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("europarl_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|europarl_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/lukabor/europarl-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-finest_bert_fi.md b/docs/_posts/ahmedlone127/2023-09-12-finest_bert_fi.md
new file mode 100644
index 00000000000000..2a96b2bf931a91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-finest_bert_fi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Finnish finest_bert BertEmbeddings from EMBEDDIA
+author: John Snow Labs
+name: finest_bert
+date: 2023-09-12
+tags: [bert, fi, open_source, fill_mask, onnx]
+task: Embeddings
+language: fi
+edition: Spark NLP 5.1.1
+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.`finest_bert` is a Finnish model originally trained by EMBEDDIA.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finest_bert_fi_5.1.1_3.0_1694509453012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finest_bert_fi_5.1.1_3.0_1694509453012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("finest_bert","fi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("finest_bert", "fi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finest_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|fi|
+|Size:|535.1 MB|
+
+## References
+
+https://huggingface.co/EMBEDDIA/finest-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-finetuned_bert_base_multilingual_cased_noisy_english_malay_xx.md b/docs/_posts/ahmedlone127/2023-09-12-finetuned_bert_base_multilingual_cased_noisy_english_malay_xx.md
new file mode 100644
index 00000000000000..e2d475104f3bde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-finetuned_bert_base_multilingual_cased_noisy_english_malay_xx.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Multilingual finetuned_bert_base_multilingual_cased_noisy_english_malay BertEmbeddings from mesolitica
+author: John Snow Labs
+name: finetuned_bert_base_multilingual_cased_noisy_english_malay
+date: 2023-09-12
+tags: [bert, xx, open_source, fill_mask, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.1.1
+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.`finetuned_bert_base_multilingual_cased_noisy_english_malay` is a Multilingual model originally trained by mesolitica.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_multilingual_cased_noisy_english_malay_xx_5.1.1_3.0_1694556066679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_multilingual_cased_noisy_english_malay_xx_5.1.1_3.0_1694556066679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("finetuned_bert_base_multilingual_cased_noisy_english_malay","xx") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("finetuned_bert_base_multilingual_cased_noisy_english_malay", "xx")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_multilingual_cased_noisy_english_malay|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|557.7 MB|
+
+## References
+
+https://huggingface.co/mesolitica/finetuned-bert-base-multilingual-cased-noisy-en-ms
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-firmanbrilianbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-firmanbrilianbert_en.md
new file mode 100644
index 00000000000000..67e9989d6439a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-firmanbrilianbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English firmanbrilianbert BertEmbeddings from FirmanBr
+author: John Snow Labs
+name: firmanbrilianbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`firmanbrilianbert` is a English model originally trained by FirmanBr.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/firmanbrilianbert_en_5.1.1_3.0_1694548253279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/firmanbrilianbert_en_5.1.1_3.0_1694548253279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("firmanbrilianbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("firmanbrilianbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|firmanbrilianbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/FirmanBr/FirmanBrilianBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-flang_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-flang_bert_en.md
new file mode 100644
index 00000000000000..d804ac64ea7551
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-flang_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English flang_bert BertEmbeddings from SALT-NLP
+author: John Snow Labs
+name: flang_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`flang_bert` is a English model originally trained by SALT-NLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flang_bert_en_5.1.1_3.0_1694553487024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flang_bert_en_5.1.1_3.0_1694553487024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("flang_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("flang_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flang_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/SALT-NLP/FLANG-BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-flang_spanbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-flang_spanbert_en.md
new file mode 100644
index 00000000000000..b79cb06b88f94a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-flang_spanbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English flang_spanbert BertEmbeddings from SALT-NLP
+author: John Snow Labs
+name: flang_spanbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`flang_spanbert` is a English model originally trained by SALT-NLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flang_spanbert_en_5.1.1_3.0_1694553636224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flang_spanbert_en_5.1.1_3.0_1694553636224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("flang_spanbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("flang_spanbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flang_spanbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/SALT-NLP/FLANG-SpanBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-gbert_large_en.md b/docs/_posts/ahmedlone127/2023-09-12-gbert_large_en.md
new file mode 100644
index 00000000000000..ef130a63b743b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-gbert_large_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English gbert_large BertEmbeddings from Anjoe
+author: John Snow Labs
+name: gbert_large
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`gbert_large` is a English model originally trained by Anjoe.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gbert_large_en_5.1.1_3.0_1694548898842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gbert_large_en_5.1.1_3.0_1694548898842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("gbert_large","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("gbert_large", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gbert_large|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Anjoe/gbert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-hinglish_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-hinglish_bert_en.md
new file mode 100644
index 00000000000000..5701ea912237f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-hinglish_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hinglish_bert BertEmbeddings from meghanabhange
+author: John Snow Labs
+name: hinglish_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hinglish_bert` is a English model originally trained by meghanabhange.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hinglish_bert_en_5.1.1_3.0_1694552706521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hinglish_bert_en_5.1.1_3.0_1694552706521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hinglish_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hinglish_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hinglish_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/meghanabhange/Hinglish-Bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-hinglish_sbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-hinglish_sbert_en.md
new file mode 100644
index 00000000000000..7cf1830542349a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-hinglish_sbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hinglish_sbert BertEmbeddings from meghanabhange
+author: John Snow Labs
+name: hinglish_sbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hinglish_sbert` is a English model originally trained by meghanabhange.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hinglish_sbert_en_5.1.1_3.0_1694552855686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hinglish_sbert_en_5.1.1_3.0_1694552855686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hinglish_sbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hinglish_sbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hinglish_sbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/meghanabhange/hinglish-sbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-hinglish_sentence_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-hinglish_sentence_bert_en.md
new file mode 100644
index 00000000000000..f4fd57510a2475
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-hinglish_sentence_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hinglish_sentence_bert BertEmbeddings from meghanabhange
+author: John Snow Labs
+name: hinglish_sentence_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hinglish_sentence_bert` is a English model originally trained by meghanabhange.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hinglish_sentence_bert_en_5.1.1_3.0_1694553037722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hinglish_sentence_bert_en_5.1.1_3.0_1694553037722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hinglish_sentence_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hinglish_sentence_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hinglish_sentence_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/meghanabhange/hinglish-sentence-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-hm_model001_en.md b/docs/_posts/ahmedlone127/2023-09-12-hm_model001_en.md
new file mode 100644
index 00000000000000..cb307dedd6ecb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-hm_model001_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hm_model001 BertEmbeddings from FAN-L
+author: John Snow Labs
+name: hm_model001
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hm_model001` is a English model originally trained by FAN-L.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hm_model001_en_5.1.1_3.0_1694547885453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hm_model001_en_5.1.1_3.0_1694547885453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hm_model001","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hm_model001", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hm_model001|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/FAN-L/HM_model001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-hubertkl_en.md b/docs/_posts/ahmedlone127/2023-09-12-hubertkl_en.md
new file mode 100644
index 00000000000000..19ba053bf5913d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-hubertkl_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hubertkl BertEmbeddings from SzegedAI
+author: John Snow Labs
+name: hubertkl
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hubertkl` is a English model originally trained by SzegedAI.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubertkl_en_5.1.1_3.0_1694550469948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubertkl_en_5.1.1_3.0_1694550469948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hubertkl","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hubertkl", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubertkl|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|421.1 MB|
+
+## References
+
+https://huggingface.co/SzegedAI/HuBERTkl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-hubertmlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-hubertmlm_en.md
new file mode 100644
index 00000000000000..f6acb129c6dfad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-hubertmlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hubertmlm BertEmbeddings from SzegedAI
+author: John Snow Labs
+name: hubertmlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hubertmlm` is a English model originally trained by SzegedAI.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubertmlm_en_5.1.1_3.0_1694550296332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubertmlm_en_5.1.1_3.0_1694550296332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hubertmlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hubertmlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubertmlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/SzegedAI/HuBERTmlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-indojave_codemixed_indobert_base_id.md b/docs/_posts/ahmedlone127/2023-09-12-indojave_codemixed_indobert_base_id.md
new file mode 100644
index 00000000000000..9ca84832e77dc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-indojave_codemixed_indobert_base_id.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Indonesian indojave_codemixed_indobert_base BertEmbeddings from fathan
+author: John Snow Labs
+name: indojave_codemixed_indobert_base
+date: 2023-09-12
+tags: [bert, id, open_source, fill_mask, onnx]
+task: Embeddings
+language: id
+edition: Spark NLP 5.1.1
+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.`indojave_codemixed_indobert_base` is a Indonesian model originally trained by fathan.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indojave_codemixed_indobert_base_id_5.1.1_3.0_1694549511841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indojave_codemixed_indobert_base_id_5.1.1_3.0_1694549511841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("indojave_codemixed_indobert_base","id") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("indojave_codemixed_indobert_base", "id")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indojave_codemixed_indobert_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|id|
+|Size:|411.5 MB|
+
+## References
+
+https://huggingface.co/fathan/indojave-codemixed-indobert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-jobbert_german_de.md b/docs/_posts/ahmedlone127/2023-09-12-jobbert_german_de.md
new file mode 100644
index 00000000000000..98ccda4cbfe005
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-jobbert_german_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German jobbert_german BertEmbeddings from agne
+author: John Snow Labs
+name: jobbert_german
+date: 2023-09-12
+tags: [bert, de, open_source, fill_mask, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.1.1
+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.`jobbert_german` is a German model originally trained by agne.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobbert_german_de_5.1.1_3.0_1694508954522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobbert_german_de_5.1.1_3.0_1694508954522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("jobbert_german","de") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("jobbert_german", "de")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobbert_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/agne/jobBERT-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-jobgbert_de.md b/docs/_posts/ahmedlone127/2023-09-12-jobgbert_de.md
new file mode 100644
index 00000000000000..5bcbf8219d5633
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-jobgbert_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German jobgbert BertEmbeddings from agne
+author: John Snow Labs
+name: jobgbert
+date: 2023-09-12
+tags: [bert, de, open_source, fill_mask, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.1.1
+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.`jobgbert` is a German model originally trained by agne.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobgbert_de_5.1.1_3.0_1694509133987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobgbert_de_5.1.1_3.0_1694509133987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("jobgbert","de") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("jobgbert", "de")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobgbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/agne/jobGBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-jurisbert_base_portuguese_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-jurisbert_base_portuguese_uncased_en.md
new file mode 100644
index 00000000000000..b30d0d72a3aeb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-jurisbert_base_portuguese_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English jurisbert_base_portuguese_uncased BertEmbeddings from alfaneo
+author: John Snow Labs
+name: jurisbert_base_portuguese_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`jurisbert_base_portuguese_uncased` is a English model originally trained by alfaneo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jurisbert_base_portuguese_uncased_en_5.1.1_3.0_1694556436181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jurisbert_base_portuguese_uncased_en_5.1.1_3.0_1694556436181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("jurisbert_base_portuguese_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("jurisbert_base_portuguese_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jurisbert_base_portuguese_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.3 MB|
+
+## References
+
+https://huggingface.co/alfaneo/jurisbert-base-portuguese-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-k_12bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-k_12bert_en.md
new file mode 100644
index 00000000000000..f9372b7d4b0227
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-k_12bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English k_12bert BertEmbeddings from vasugoel
+author: John Snow Labs
+name: k_12bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`k_12bert` is a English model originally trained by vasugoel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/k_12bert_en_5.1.1_3.0_1694557848064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/k_12bert_en_5.1.1_3.0_1694557848064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("k_12bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("k_12bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|k_12bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/vasugoel/K-12BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kbbert_distilled_cased_sv.md b/docs/_posts/ahmedlone127/2023-09-12-kbbert_distilled_cased_sv.md
new file mode 100644
index 00000000000000..a9b5c5b7c321c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kbbert_distilled_cased_sv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Swedish kbbert_distilled_cased BertEmbeddings from Addedk
+author: John Snow Labs
+name: kbbert_distilled_cased
+date: 2023-09-12
+tags: [bert, sv, open_source, fill_mask, onnx]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.1.1
+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.`kbbert_distilled_cased` is a Swedish model originally trained by Addedk.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kbbert_distilled_cased_sv_5.1.1_3.0_1694550965718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kbbert_distilled_cased_sv_5.1.1_3.0_1694550965718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kbbert_distilled_cased","sv") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kbbert_distilled_cased", "sv")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kbbert_distilled_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|sv|
+|Size:|305.8 MB|
+
+## References
+
+https://huggingface.co/Addedk/kbbert-distilled-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kkmultbert_1e_en.md b/docs/_posts/ahmedlone127/2023-09-12-kkmultbert_1e_en.md
new file mode 100644
index 00000000000000..66ed603ae401b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kkmultbert_1e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kkmultbert_1e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: kkmultbert_1e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kkmultbert_1e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kkmultbert_1e_en_5.1.1_3.0_1694553093201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kkmultbert_1e_en_5.1.1_3.0_1694553093201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kkmultbert_1e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kkmultbert_1e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kkmultbert_1e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.3 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/KKMultBert_1e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kkmultbert_3e_en.md b/docs/_posts/ahmedlone127/2023-09-12-kkmultbert_3e_en.md
new file mode 100644
index 00000000000000..b4eed81ec9c53b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kkmultbert_3e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kkmultbert_3e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: kkmultbert_3e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kkmultbert_3e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kkmultbert_3e_en_5.1.1_3.0_1694553624770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kkmultbert_3e_en_5.1.1_3.0_1694553624770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kkmultbert_3e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kkmultbert_3e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kkmultbert_3e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.1 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/KKMultBert_3e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_1e_en.md b/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_1e_en.md
new file mode 100644
index 00000000000000..5ef92c1e47d453
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_1e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kkturkbert_bynaumen_1e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: kkturkbert_bynaumen_1e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kkturkbert_bynaumen_1e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kkturkbert_bynaumen_1e_en_5.1.1_3.0_1694559139710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kkturkbert_bynaumen_1e_en_5.1.1_3.0_1694559139710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kkturkbert_bynaumen_1e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kkturkbert_bynaumen_1e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kkturkbert_bynaumen_1e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.0 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/KKTurkBert_byNAUMEN_1e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_2e_en.md b/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_2e_en.md
new file mode 100644
index 00000000000000..79fbc1e527c3e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_2e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kkturkbert_bynaumen_2e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: kkturkbert_bynaumen_2e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kkturkbert_bynaumen_2e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kkturkbert_bynaumen_2e_en_5.1.1_3.0_1694558924867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kkturkbert_bynaumen_2e_en_5.1.1_3.0_1694558924867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kkturkbert_bynaumen_2e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kkturkbert_bynaumen_2e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kkturkbert_bynaumen_2e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|493.6 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/KKTurkBert_byNAUMEN_2e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_3e_en.md b/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_3e_en.md
new file mode 100644
index 00000000000000..b6c076196dbbe0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kkturkbert_bynaumen_3e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kkturkbert_bynaumen_3e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: kkturkbert_bynaumen_3e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kkturkbert_bynaumen_3e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kkturkbert_bynaumen_3e_en_5.1.1_3.0_1694558723631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kkturkbert_bynaumen_3e_en_5.1.1_3.0_1694558723631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kkturkbert_bynaumen_3e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kkturkbert_bynaumen_3e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kkturkbert_bynaumen_3e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|493.0 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/KKTurkBert_byNAUMEN_3e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-korean_mathbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-korean_mathbert_en.md
new file mode 100644
index 00000000000000..9c7ef7b8dc8b8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-korean_mathbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English korean_mathbert BertEmbeddings from jnsulee
+author: John Snow Labs
+name: korean_mathbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_mathbert` is a English model originally trained by jnsulee.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_mathbert_en_5.1.1_3.0_1694553539059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_mathbert_en_5.1.1_3.0_1694553539059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("korean_mathbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("korean_mathbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|korean_mathbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/jnsulee/ko-mathbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_keyword_sentence_10000_0.0003_en.md b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_keyword_sentence_10000_0.0003_en.md
new file mode 100644
index 00000000000000..eaf877612e1c35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_keyword_sentence_10000_0.0003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kw_pubmed_keyword_sentence_10000_0.0003 BertEmbeddings from enoriega
+author: John Snow Labs
+name: kw_pubmed_keyword_sentence_10000_0.0003
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kw_pubmed_keyword_sentence_10000_0.0003` is a English model originally trained by enoriega.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kw_pubmed_keyword_sentence_10000_0.0003_en_5.1.1_3.0_1694548488337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kw_pubmed_keyword_sentence_10000_0.0003_en_5.1.1_3.0_1694548488337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kw_pubmed_keyword_sentence_10000_0.0003","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kw_pubmed_keyword_sentence_10000_0.0003", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kw_pubmed_keyword_sentence_10000_0.0003|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/enoriega/kw_pubmed_keyword_sentence_10000_0.0003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_document_10000_0.0003_en.md b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_document_10000_0.0003_en.md
new file mode 100644
index 00000000000000..9eb8a8f55f5076
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_document_10000_0.0003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kw_pubmed_vanilla_document_10000_0.0003 BertEmbeddings from enoriega
+author: John Snow Labs
+name: kw_pubmed_vanilla_document_10000_0.0003
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kw_pubmed_vanilla_document_10000_0.0003` is a English model originally trained by enoriega.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kw_pubmed_vanilla_document_10000_0.0003_en_5.1.1_3.0_1694548616966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kw_pubmed_vanilla_document_10000_0.0003_en_5.1.1_3.0_1694548616966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kw_pubmed_vanilla_document_10000_0.0003","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kw_pubmed_vanilla_document_10000_0.0003", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kw_pubmed_vanilla_document_10000_0.0003|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/enoriega/kw_pubmed_vanilla_document_10000_0.0003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_sentence_10000_0.0003_2_en.md b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_sentence_10000_0.0003_2_en.md
new file mode 100644
index 00000000000000..3a43754a499d0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_sentence_10000_0.0003_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kw_pubmed_vanilla_sentence_10000_0.0003_2 BertEmbeddings from enoriega
+author: John Snow Labs
+name: kw_pubmed_vanilla_sentence_10000_0.0003_2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kw_pubmed_vanilla_sentence_10000_0.0003_2` is a English model originally trained by enoriega.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kw_pubmed_vanilla_sentence_10000_0.0003_2_en_5.1.1_3.0_1694553337510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kw_pubmed_vanilla_sentence_10000_0.0003_2_en_5.1.1_3.0_1694553337510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kw_pubmed_vanilla_sentence_10000_0.0003_2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kw_pubmed_vanilla_sentence_10000_0.0003_2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kw_pubmed_vanilla_sentence_10000_0.0003_2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/enoriega/kw_pubmed_vanilla_sentence_10000_0.0003_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_sentence_10000_0.0003_en.md b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_sentence_10000_0.0003_en.md
new file mode 100644
index 00000000000000..9406230adc3229
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kw_pubmed_vanilla_sentence_10000_0.0003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kw_pubmed_vanilla_sentence_10000_0.0003 BertEmbeddings from enoriega
+author: John Snow Labs
+name: kw_pubmed_vanilla_sentence_10000_0.0003
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kw_pubmed_vanilla_sentence_10000_0.0003` is a English model originally trained by enoriega.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kw_pubmed_vanilla_sentence_10000_0.0003_en_5.1.1_3.0_1694548333195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kw_pubmed_vanilla_sentence_10000_0.0003_en_5.1.1_3.0_1694548333195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kw_pubmed_vanilla_sentence_10000_0.0003","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kw_pubmed_vanilla_sentence_10000_0.0003", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kw_pubmed_vanilla_sentence_10000_0.0003|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/enoriega/kw_pubmed_vanilla_sentence_10000_0.0003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-kykim_bert_kor_base_korean_en.md b/docs/_posts/ahmedlone127/2023-09-12-kykim_bert_kor_base_korean_en.md
new file mode 100644
index 00000000000000..e391d45933b48a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-kykim_bert_kor_base_korean_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kykim_bert_kor_base_korean BertEmbeddings from koala
+author: John Snow Labs
+name: kykim_bert_kor_base_korean
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kykim_bert_kor_base_korean` is a English model originally trained by koala.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kykim_bert_kor_base_korean_en_5.1.1_3.0_1694510273861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kykim_bert_kor_base_korean_en_5.1.1_3.0_1694510273861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kykim_bert_kor_base_korean","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kykim_bert_kor_base_korean", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kykim_bert_kor_base_korean|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|441.2 MB|
+
+## References
+
+https://huggingface.co/koala/kykim-bert-kor-base-ko
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-legalbertpt_fp_en.md b/docs/_posts/ahmedlone127/2023-09-12-legalbertpt_fp_en.md
new file mode 100644
index 00000000000000..9f8486bd7aaeb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-legalbertpt_fp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English legalbertpt_fp BertEmbeddings from raquelsilveira
+author: John Snow Labs
+name: legalbertpt_fp
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`legalbertpt_fp` is a English model originally trained by raquelsilveira.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalbertpt_fp_en_5.1.1_3.0_1694549902826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalbertpt_fp_en_5.1.1_3.0_1694549902826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("legalbertpt_fp","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("legalbertpt_fp", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalbertpt_fp|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.8 MB|
+
+## References
+
+https://huggingface.co/raquelsilveira/legalbertpt_fp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-legalbertpt_sardinian_en.md b/docs/_posts/ahmedlone127/2023-09-12-legalbertpt_sardinian_en.md
new file mode 100644
index 00000000000000..bfc82201ef1ea0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-legalbertpt_sardinian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English legalbertpt_sardinian BertEmbeddings from raquelsilveira
+author: John Snow Labs
+name: legalbertpt_sardinian
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`legalbertpt_sardinian` is a English model originally trained by raquelsilveira.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalbertpt_sardinian_en_5.1.1_3.0_1694550099835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalbertpt_sardinian_en_5.1.1_3.0_1694550099835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("legalbertpt_sardinian","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("legalbertpt_sardinian", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalbertpt_sardinian|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|425.1 MB|
+
+## References
+
+https://huggingface.co/raquelsilveira/legalbertpt_sc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-lernnavi_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-lernnavi_bert_en.md
new file mode 100644
index 00000000000000..65ebce65f7dec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-lernnavi_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English lernnavi_bert BertEmbeddings from lucazed
+author: John Snow Labs
+name: lernnavi_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`lernnavi_bert` is a English model originally trained by lucazed.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lernnavi_bert_en_5.1.1_3.0_1694561382262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lernnavi_bert_en_5.1.1_3.0_1694561382262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("lernnavi_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("lernnavi_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lernnavi_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/lucazed/lernnavi_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-lf_model_01_en.md b/docs/_posts/ahmedlone127/2023-09-12-lf_model_01_en.md
new file mode 100644
index 00000000000000..93273c267fa6f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-lf_model_01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English lf_model_01 BertEmbeddings from lf
+author: John Snow Labs
+name: lf_model_01
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`lf_model_01` is a English model originally trained by lf.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lf_model_01_en_5.1.1_3.0_1694548430541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lf_model_01_en_5.1.1_3.0_1694548430541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("lf_model_01","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("lf_model_01", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lf_model_01|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lf/lf_model_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-lm_financial_v2_en.md b/docs/_posts/ahmedlone127/2023-09-12-lm_financial_v2_en.md
new file mode 100644
index 00000000000000..06a7fec6d55cc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-lm_financial_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English lm_financial_v2 BertEmbeddings from anablasi
+author: John Snow Labs
+name: lm_financial_v2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`lm_financial_v2` is a English model originally trained by anablasi.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lm_financial_v2_en_5.1.1_3.0_1694551202277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lm_financial_v2_en_5.1.1_3.0_1694551202277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("lm_financial_v2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("lm_financial_v2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lm_financial_v2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/anablasi/lm_financial_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-logion_base_en.md b/docs/_posts/ahmedlone127/2023-09-12-logion_base_en.md
new file mode 100644
index 00000000000000..a492b8bb4662be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-logion_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English logion_base BertEmbeddings from cabrooks
+author: John Snow Labs
+name: logion_base
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`logion_base` is a English model originally trained by cabrooks.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/logion_base_en_5.1.1_3.0_1694551525035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/logion_base_en_5.1.1_3.0_1694551525035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("logion_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("logion_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|logion_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|420.8 MB|
+
+## References
+
+https://huggingface.co/cabrooks/LOGION-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-m3_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-m3_mlm_en.md
new file mode 100644
index 00000000000000..5eef13ec6a635a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-m3_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English m3_mlm BertEmbeddings from S2312dal
+author: John Snow Labs
+name: m3_mlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`m3_mlm` is a English model originally trained by S2312dal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m3_mlm_en_5.1.1_3.0_1694551397577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m3_mlm_en_5.1.1_3.0_1694551397577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("m3_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("m3_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m3_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.9 MB|
+
+## References
+
+https://huggingface.co/S2312dal/M3_MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-m6_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-12-m6_mlm_en.md
new file mode 100644
index 00000000000000..e853cd0fe38210
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-m6_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English m6_mlm BertEmbeddings from S2312dal
+author: John Snow Labs
+name: m6_mlm
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`m6_mlm` is a English model originally trained by S2312dal.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m6_mlm_en_5.1.1_3.0_1694551618334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m6_mlm_en_5.1.1_3.0_1694551618334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("m6_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("m6_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m6_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/S2312dal/M6_MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-marathi_bert_mr.md b/docs/_posts/ahmedlone127/2023-09-12-marathi_bert_mr.md
new file mode 100644
index 00000000000000..feebdcd8cbd918
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-marathi_bert_mr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Marathi marathi_bert BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: marathi_bert
+date: 2023-09-12
+tags: [bert, mr, open_source, fill_mask, onnx]
+task: Embeddings
+language: mr
+edition: Spark NLP 5.1.1
+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.`marathi_bert` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_bert_mr_5.1.1_3.0_1694547462490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_bert_mr_5.1.1_3.0_1694547462490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("marathi_bert","mr") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("marathi_bert", "mr")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|mr|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_cont_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_cont_cased_en.md
new file mode 100644
index 00000000000000..c4c0a9c117f5a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_cont_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English masked_2ktweets_conflibert_cont_cased BertEmbeddings from ipadmanaban
+author: John Snow Labs
+name: masked_2ktweets_conflibert_cont_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`masked_2ktweets_conflibert_cont_cased` is a English model originally trained by ipadmanaban.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_cont_cased_en_5.1.1_3.0_1694508985703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_cont_cased_en_5.1.1_3.0_1694508985703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("masked_2ktweets_conflibert_cont_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("masked_2ktweets_conflibert_cont_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|masked_2ktweets_conflibert_cont_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|402.9 MB|
+
+## References
+
+https://huggingface.co/ipadmanaban/Masked-2KTweets-ConfliBERT-cont-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_cont_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_cont_uncased_en.md
new file mode 100644
index 00000000000000..9a37d284962cf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_cont_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English masked_2ktweets_conflibert_cont_uncased BertEmbeddings from ipadmanaban
+author: John Snow Labs
+name: masked_2ktweets_conflibert_cont_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`masked_2ktweets_conflibert_cont_uncased` is a English model originally trained by ipadmanaban.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_cont_uncased_en_5.1.1_3.0_1694509108326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_cont_uncased_en_5.1.1_3.0_1694509108326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("masked_2ktweets_conflibert_cont_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("masked_2ktweets_conflibert_cont_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|masked_2ktweets_conflibert_cont_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/ipadmanaban/Masked-2KTweets-ConfliBERT-cont-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_scr_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_scr_cased_en.md
new file mode 100644
index 00000000000000..316c787c916fe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_scr_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English masked_2ktweets_conflibert_scr_cased BertEmbeddings from ipadmanaban
+author: John Snow Labs
+name: masked_2ktweets_conflibert_scr_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`masked_2ktweets_conflibert_scr_cased` is a English model originally trained by ipadmanaban.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_scr_cased_en_5.1.1_3.0_1694508731836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_scr_cased_en_5.1.1_3.0_1694508731836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("masked_2ktweets_conflibert_scr_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("masked_2ktweets_conflibert_scr_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|masked_2ktweets_conflibert_scr_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.1 MB|
+
+## References
+
+https://huggingface.co/ipadmanaban/Masked-2KTweets-ConfliBERT-scr-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_scr_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_scr_uncased_en.md
new file mode 100644
index 00000000000000..e007524b59d832
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-masked_2ktweets_conflibert_scr_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English masked_2ktweets_conflibert_scr_uncased BertEmbeddings from ipadmanaban
+author: John Snow Labs
+name: masked_2ktweets_conflibert_scr_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`masked_2ktweets_conflibert_scr_uncased` is a English model originally trained by ipadmanaban.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_scr_uncased_en_5.1.1_3.0_1694508845965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/masked_2ktweets_conflibert_scr_uncased_en_5.1.1_3.0_1694508845965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("masked_2ktweets_conflibert_scr_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("masked_2ktweets_conflibert_scr_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|masked_2ktweets_conflibert_scr_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/ipadmanaban/Masked-2KTweets-ConfliBERT-scr-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-matscibert_en.md b/docs/_posts/ahmedlone127/2023-09-12-matscibert_en.md
new file mode 100644
index 00000000000000..200e1f51c320b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-matscibert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English matscibert BertEmbeddings from m3rg-iitd
+author: John Snow Labs
+name: matscibert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`matscibert` is a English model originally trained by m3rg-iitd.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/matscibert_en_5.1.1_3.0_1694550983161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/matscibert_en_5.1.1_3.0_1694550983161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("matscibert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("matscibert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|matscibert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/m3rg-iitd/matscibert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_arabic_c19_ar.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_arabic_c19_ar.md
new file mode 100644
index 00000000000000..424a213070f24f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_arabic_c19_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic mbert_arabic_c19 BertEmbeddings from moha
+author: John Snow Labs
+name: mbert_arabic_c19
+date: 2023-09-12
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`mbert_arabic_c19` is a Arabic model originally trained by moha.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_arabic_c19_ar_5.1.1_3.0_1694554545798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_arabic_c19_ar_5.1.1_3.0_1694554545798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_arabic_c19","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_arabic_c19", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_arabic_c19|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|624.7 MB|
+
+## References
+
+https://huggingface.co/moha/mbert_ar_c19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_chinese_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_chinese_en.md
new file mode 100644
index 00000000000000..d26011b5a91d9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_chinese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_resp_english_chinese BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_resp_english_chinese
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_resp_english_chinese` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_resp_english_chinese_en_5.1.1_3.0_1694558912316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_resp_english_chinese_en_5.1.1_3.0_1694558912316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_resp_english_chinese","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_resp_english_chinese", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_resp_english_chinese|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.0 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-resp-en-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_german_en.md
new file mode 100644
index 00000000000000..4e6a2f0393f96e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_resp_english_german BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_resp_english_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_resp_english_german` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_resp_english_german_en_5.1.1_3.0_1694558476877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_resp_english_german_en_5.1.1_3.0_1694558476877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_resp_english_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_resp_english_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_resp_english_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.2 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-resp-en-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_italian_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_italian_en.md
new file mode 100644
index 00000000000000..3152cc6cee6769
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_resp_english_italian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_resp_english_italian BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_resp_english_italian
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_resp_english_italian` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_resp_english_italian_en_5.1.1_3.0_1694558696793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_resp_english_italian_en_5.1.1_3.0_1694558696793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_resp_english_italian","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_resp_english_italian", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_resp_english_italian|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.1 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-resp-en-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_swedish_distilled_cased_sv.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_swedish_distilled_cased_sv.md
new file mode 100644
index 00000000000000..463773b8ada81e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_swedish_distilled_cased_sv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Swedish mbert_swedish_distilled_cased BertEmbeddings from Addedk
+author: John Snow Labs
+name: mbert_swedish_distilled_cased
+date: 2023-09-12
+tags: [bert, sv, open_source, fill_mask, onnx]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.1.1
+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.`mbert_swedish_distilled_cased` is a Swedish model originally trained by Addedk.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_swedish_distilled_cased_sv_5.1.1_3.0_1694549731872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_swedish_distilled_cased_sv_5.1.1_3.0_1694549731872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_swedish_distilled_cased","sv") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_swedish_distilled_cased", "sv")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_swedish_distilled_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|sv|
+|Size:|505.7 MB|
+
+## References
+
+https://huggingface.co/Addedk/mbert-swedish-distilled-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_chinese_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_chinese_en.md
new file mode 100644
index 00000000000000..9f9a6aaca92bb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_chinese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_tlm_chat_english_chinese BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_tlm_chat_english_chinese
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_tlm_chat_english_chinese` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_tlm_chat_english_chinese_en_5.1.1_3.0_1694559504129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_tlm_chat_english_chinese_en_5.1.1_3.0_1694559504129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_tlm_chat_english_chinese","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_tlm_chat_english_chinese", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_tlm_chat_english_chinese|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.0 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-tlm-chat-en-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_german_en.md
new file mode 100644
index 00000000000000..8e156a6e394c00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_tlm_chat_english_german BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_tlm_chat_english_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_tlm_chat_english_german` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_tlm_chat_english_german_en_5.1.1_3.0_1694559103177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_tlm_chat_english_german_en_5.1.1_3.0_1694559103177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_tlm_chat_english_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_tlm_chat_english_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_tlm_chat_english_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.2 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-tlm-chat-en-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_italian_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_italian_en.md
new file mode 100644
index 00000000000000..5525b45002cd0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_chat_english_italian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_tlm_chat_english_italian BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_tlm_chat_english_italian
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_tlm_chat_english_italian` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_tlm_chat_english_italian_en_5.1.1_3.0_1694559329950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_tlm_chat_english_italian_en_5.1.1_3.0_1694559329950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_tlm_chat_english_italian","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_tlm_chat_english_italian", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_tlm_chat_english_italian|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.1 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-tlm-chat-en-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_sent_english_chinese_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_sent_english_chinese_en.md
new file mode 100644
index 00000000000000..c7802343bfcfa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_sent_english_chinese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_tlm_sent_english_chinese BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_tlm_sent_english_chinese
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_tlm_sent_english_chinese` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_tlm_sent_english_chinese_en_5.1.1_3.0_1694560100127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_tlm_sent_english_chinese_en_5.1.1_3.0_1694560100127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_tlm_sent_english_chinese","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_tlm_sent_english_chinese", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_tlm_sent_english_chinese|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|622.3 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-tlm-sent-en-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_sent_english_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_sent_english_german_en.md
new file mode 100644
index 00000000000000..ae91b6ff3b9dc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_tlm_sent_english_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_tlm_sent_english_german BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_tlm_sent_english_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_tlm_sent_english_german` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_tlm_sent_english_german_en_5.1.1_3.0_1694559726822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_tlm_sent_english_german_en_5.1.1_3.0_1694559726822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_tlm_sent_english_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_tlm_sent_english_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_tlm_sent_english_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|624.8 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-tlm-sent-en-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_xdm_english_german_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_xdm_english_german_en.md
new file mode 100644
index 00000000000000..56975392b75a88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_xdm_english_german_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_xdm_english_german BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_xdm_english_german
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_xdm_english_german` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_xdm_english_german_en_5.1.1_3.0_1694560316540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_xdm_english_german_en_5.1.1_3.0_1694560316540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_xdm_english_german","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_xdm_english_german", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_xdm_english_german|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.4 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-xdm-en-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mbert_xdm_english_italian_en.md b/docs/_posts/ahmedlone127/2023-09-12-mbert_xdm_english_italian_en.md
new file mode 100644
index 00000000000000..ee756f126a4d0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mbert_xdm_english_italian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_xdm_english_italian BertEmbeddings from nikitam
+author: John Snow Labs
+name: mbert_xdm_english_italian
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_xdm_english_italian` is a English model originally trained by nikitam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_xdm_english_italian_en_5.1.1_3.0_1694560553745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_xdm_english_italian_en_5.1.1_3.0_1694560553745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_xdm_english_italian","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_xdm_english_italian", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_xdm_english_italian|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.4 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-xdm-en-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-miem_scibert_linguistic_en.md b/docs/_posts/ahmedlone127/2023-09-12-miem_scibert_linguistic_en.md
new file mode 100644
index 00000000000000..cef5decb871541
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-miem_scibert_linguistic_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English miem_scibert_linguistic BertEmbeddings from miemBertProject
+author: John Snow Labs
+name: miem_scibert_linguistic
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`miem_scibert_linguistic` is a English model originally trained by miemBertProject.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/miem_scibert_linguistic_en_5.1.1_3.0_1694549092975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/miem_scibert_linguistic_en_5.1.1_3.0_1694549092975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("miem_scibert_linguistic","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("miem_scibert_linguistic", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|miem_scibert_linguistic|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-12-minilm_finetuned_imdb_accelerate_en.md b/docs/_posts/ahmedlone127/2023-09-12-minilm_finetuned_imdb_accelerate_en.md
new file mode 100644
index 00000000000000..7fe241693778a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-minilm_finetuned_imdb_accelerate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English minilm_finetuned_imdb_accelerate BertEmbeddings from lewtun
+author: John Snow Labs
+name: minilm_finetuned_imdb_accelerate
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`minilm_finetuned_imdb_accelerate` is a English model originally trained by lewtun.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_finetuned_imdb_accelerate_en_5.1.1_3.0_1694548276227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_finetuned_imdb_accelerate_en_5.1.1_3.0_1694548276227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("minilm_finetuned_imdb_accelerate","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("minilm_finetuned_imdb_accelerate", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_finetuned_imdb_accelerate|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|124.5 MB|
+
+## References
+
+https://huggingface.co/lewtun/minilm-finetuned-imdb-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-minilm_l12_h384_uncased_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2023-09-12-minilm_l12_h384_uncased_finetuned_imdb_en.md
new file mode 100644
index 00000000000000..e339d027c3b24c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-minilm_l12_h384_uncased_finetuned_imdb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English minilm_l12_h384_uncased_finetuned_imdb BertEmbeddings from lewtun
+author: John Snow Labs
+name: minilm_l12_h384_uncased_finetuned_imdb
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`minilm_l12_h384_uncased_finetuned_imdb` is a English model originally trained by lewtun.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_l12_h384_uncased_finetuned_imdb_en_5.1.1_3.0_1694548053126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_l12_h384_uncased_finetuned_imdb_en_5.1.1_3.0_1694548053126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("minilm_l12_h384_uncased_finetuned_imdb","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("minilm_l12_h384_uncased_finetuned_imdb", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_l12_h384_uncased_finetuned_imdb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|124.5 MB|
+
+## References
+
+https://huggingface.co/lewtun/MiniLM-L12-H384-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-minilm_l_12_stackoverflow_en.md b/docs/_posts/ahmedlone127/2023-09-12-minilm_l_12_stackoverflow_en.md
new file mode 100644
index 00000000000000..14aec5f9c15ffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-minilm_l_12_stackoverflow_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English minilm_l_12_stackoverflow BertEmbeddings from M-Chimiste
+author: John Snow Labs
+name: minilm_l_12_stackoverflow
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`minilm_l_12_stackoverflow` is a English model originally trained by M-Chimiste.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_l_12_stackoverflow_en_5.1.1_3.0_1694552531487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_l_12_stackoverflow_en_5.1.1_3.0_1694552531487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("minilm_l_12_stackoverflow","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("minilm_l_12_stackoverflow", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_l_12_stackoverflow|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|124.7 MB|
+
+## References
+
+https://huggingface.co/M-Chimiste/MiniLM-L-12-StackOverflow
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h384_distilled_from_bert_base_en.md b/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h384_distilled_from_bert_base_en.md
new file mode 100644
index 00000000000000..48068504c90f0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h384_distilled_from_bert_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English minilmv2_l6_h384_distilled_from_bert_base BertEmbeddings from nreimers
+author: John Snow Labs
+name: minilmv2_l6_h384_distilled_from_bert_base
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`minilmv2_l6_h384_distilled_from_bert_base` is a English model originally trained by nreimers.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_distilled_from_bert_base_en_5.1.1_3.0_1694562156137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_distilled_from_bert_base_en_5.1.1_3.0_1694562156137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("minilmv2_l6_h384_distilled_from_bert_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("minilmv2_l6_h384_distilled_from_bert_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilmv2_l6_h384_distilled_from_bert_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|54.1 MB|
+
+## References
+
+https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h384_distilled_from_bert_large_en.md b/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h384_distilled_from_bert_large_en.md
new file mode 100644
index 00000000000000..d7dbada6e7d0b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h384_distilled_from_bert_large_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English minilmv2_l6_h384_distilled_from_bert_large BertEmbeddings from nreimers
+author: John Snow Labs
+name: minilmv2_l6_h384_distilled_from_bert_large
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`minilmv2_l6_h384_distilled_from_bert_large` is a English model originally trained by nreimers.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_distilled_from_bert_large_en_5.1.1_3.0_1694562262970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_distilled_from_bert_large_en_5.1.1_3.0_1694562262970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("minilmv2_l6_h384_distilled_from_bert_large","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("minilmv2_l6_h384_distilled_from_bert_large", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilmv2_l6_h384_distilled_from_bert_large|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h768_distilled_from_bert_base_en.md b/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h768_distilled_from_bert_base_en.md
new file mode 100644
index 00000000000000..47347c85f09f3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-minilmv2_l6_h768_distilled_from_bert_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English minilmv2_l6_h768_distilled_from_bert_base BertEmbeddings from nreimers
+author: John Snow Labs
+name: minilmv2_l6_h768_distilled_from_bert_base
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`minilmv2_l6_h768_distilled_from_bert_base` is a English model originally trained by nreimers.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h768_distilled_from_bert_base_en_5.1.1_3.0_1694562396390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h768_distilled_from_bert_base_en_5.1.1_3.0_1694562396390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("minilmv2_l6_h768_distilled_from_bert_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("minilmv2_l6_h768_distilled_from_bert_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilmv2_l6_h768_distilled_from_bert_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|158.7 MB|
+
+## References
+
+https://huggingface.co/nreimers/MiniLMv2-L6-H768-distilled-from-BERT-Base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mizbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-mizbert_en.md
new file mode 100644
index 00000000000000..6892e5120e8096
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mizbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mizbert BertEmbeddings from robzchhangte
+author: John Snow Labs
+name: mizbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mizbert` is a English model originally trained by robzchhangte.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mizbert_en_5.1.1_3.0_1694556095325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mizbert_en_5.1.1_3.0_1694556095325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mizbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mizbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mizbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/robzchhangte/MizBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mlm_20230503_indobert_base_p1_combined_001_en.md b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230503_indobert_base_p1_combined_001_en.md
new file mode 100644
index 00000000000000..7696cc278c79aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230503_indobert_base_p1_combined_001_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mlm_20230503_indobert_base_p1_combined_001 BertEmbeddings from intanm
+author: John Snow Labs
+name: mlm_20230503_indobert_base_p1_combined_001
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mlm_20230503_indobert_base_p1_combined_001` is a English model originally trained by intanm.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_20230503_indobert_base_p1_combined_001_en_5.1.1_3.0_1694551387527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_20230503_indobert_base_p1_combined_001_en_5.1.1_3.0_1694551387527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mlm_20230503_indobert_base_p1_combined_001","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mlm_20230503_indobert_base_p1_combined_001", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_20230503_indobert_base_p1_combined_001|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|464.3 MB|
+
+## References
+
+https://huggingface.co/intanm/mlm-20230503-indobert-base-p1-combined-001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mlm_20230503_indobert_large_p1_001_en.md b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230503_indobert_large_p1_001_en.md
new file mode 100644
index 00000000000000..b805b7b8824326
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230503_indobert_large_p1_001_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mlm_20230503_indobert_large_p1_001 BertEmbeddings from intanm
+author: John Snow Labs
+name: mlm_20230503_indobert_large_p1_001
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mlm_20230503_indobert_large_p1_001` is a English model originally trained by intanm.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_20230503_indobert_large_p1_001_en_5.1.1_3.0_1694550821233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_20230503_indobert_large_p1_001_en_5.1.1_3.0_1694550821233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mlm_20230503_indobert_large_p1_001","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mlm_20230503_indobert_large_p1_001", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_20230503_indobert_large_p1_001|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intanm/mlm-20230503-indobert-large-p1-001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mlm_20230510_indobert_large_p1_001_pt2_en.md b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230510_indobert_large_p1_001_pt2_en.md
new file mode 100644
index 00000000000000..18a543b38a09f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230510_indobert_large_p1_001_pt2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mlm_20230510_indobert_large_p1_001_pt2 BertEmbeddings from intanm
+author: John Snow Labs
+name: mlm_20230510_indobert_large_p1_001_pt2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mlm_20230510_indobert_large_p1_001_pt2` is a English model originally trained by intanm.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_20230510_indobert_large_p1_001_pt2_en_5.1.1_3.0_1694557161327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_20230510_indobert_large_p1_001_pt2_en_5.1.1_3.0_1694557161327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mlm_20230510_indobert_large_p1_001_pt2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mlm_20230510_indobert_large_p1_001_pt2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_20230510_indobert_large_p1_001_pt2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intanm/mlm-20230510-indobert-large-p1-001-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mlm_20230511_indobert_large_p1_combined_pt1_en.md b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230511_indobert_large_p1_combined_pt1_en.md
new file mode 100644
index 00000000000000..9dbe37041d55f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230511_indobert_large_p1_combined_pt1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mlm_20230511_indobert_large_p1_combined_pt1 BertEmbeddings from intanm
+author: John Snow Labs
+name: mlm_20230511_indobert_large_p1_combined_pt1
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mlm_20230511_indobert_large_p1_combined_pt1` is a English model originally trained by intanm.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_20230511_indobert_large_p1_combined_pt1_en_5.1.1_3.0_1694557729072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_20230511_indobert_large_p1_combined_pt1_en_5.1.1_3.0_1694557729072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mlm_20230511_indobert_large_p1_combined_pt1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mlm_20230511_indobert_large_p1_combined_pt1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_20230511_indobert_large_p1_combined_pt1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intanm/mlm-20230511-indobert-large-p1-combined-pt1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mlm_20230513_indobert_large_p1_combined_pt2_en.md b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230513_indobert_large_p1_combined_pt2_en.md
new file mode 100644
index 00000000000000..831aff4aaf1d0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mlm_20230513_indobert_large_p1_combined_pt2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mlm_20230513_indobert_large_p1_combined_pt2 BertEmbeddings from intanm
+author: John Snow Labs
+name: mlm_20230513_indobert_large_p1_combined_pt2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mlm_20230513_indobert_large_p1_combined_pt2` is a English model originally trained by intanm.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_20230513_indobert_large_p1_combined_pt2_en_5.1.1_3.0_1694560283117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_20230513_indobert_large_p1_combined_pt2_en_5.1.1_3.0_1694560283117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mlm_20230513_indobert_large_p1_combined_pt2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mlm_20230513_indobert_large_p1_combined_pt2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_20230513_indobert_large_p1_combined_pt2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intanm/mlm-20230513-indobert-large-p1-combined-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-model202109_en.md b/docs/_posts/ahmedlone127/2023-09-12-model202109_en.md
new file mode 100644
index 00000000000000..4cf88950d8266d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-model202109_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English model202109 BertEmbeddings from lyx10290516
+author: John Snow Labs
+name: model202109
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`model202109` is a English model originally trained by lyx10290516.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model202109_en_5.1.1_3.0_1694550495262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model202109_en_5.1.1_3.0_1694550495262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("model202109","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("model202109", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model202109|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lyx10290516/model202109
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mybert_en.md b/docs/_posts/ahmedlone127/2023-09-12-mybert_en.md
new file mode 100644
index 00000000000000..93e3eacbe46f8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mybert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mybert BertEmbeddings from RavenK
+author: John Snow Labs
+name: mybert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mybert` is a English model originally trained by RavenK.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mybert_en_5.1.1_3.0_1694548245920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mybert_en_5.1.1_3.0_1694548245920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mybert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mybert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mybert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/RavenK/mybert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-mymodel007_lbh020300_en.md b/docs/_posts/ahmedlone127/2023-09-12-mymodel007_lbh020300_en.md
new file mode 100644
index 00000000000000..633fab71a48ce9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-mymodel007_lbh020300_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mymodel007_lbh020300 BertEmbeddings from lbh020300
+author: John Snow Labs
+name: mymodel007_lbh020300
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mymodel007_lbh020300` is a English model originally trained by lbh020300.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mymodel007_lbh020300_en_5.1.1_3.0_1694547914311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mymodel007_lbh020300_en_5.1.1_3.0_1694547914311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mymodel007_lbh020300","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mymodel007_lbh020300", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mymodel007_lbh020300|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lbh020300/mymodel007
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-myrubert_tiny2_en.md b/docs/_posts/ahmedlone127/2023-09-12-myrubert_tiny2_en.md
new file mode 100644
index 00000000000000..a4f1b599f7653c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-myrubert_tiny2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English myrubert_tiny2 BertEmbeddings from nlp-testing
+author: John Snow Labs
+name: myrubert_tiny2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`myrubert_tiny2` is a English model originally trained by nlp-testing.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/myrubert_tiny2_en_5.1.1_3.0_1694555345139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/myrubert_tiny2_en_5.1.1_3.0_1694555345139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("myrubert_tiny2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("myrubert_tiny2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|myrubert_tiny2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|109.0 MB|
+
+## References
+
+https://huggingface.co/nlp-testing/myrubert-tiny2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-nepal_bhasa_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-nepal_bhasa_bert_en.md
new file mode 100644
index 00000000000000..3595373bc137f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-nepal_bhasa_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nepal_bhasa_bert BertEmbeddings from onlydj96
+author: John Snow Labs
+name: nepal_bhasa_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`nepal_bhasa_bert` is a English model originally trained by onlydj96.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_bert_en_5.1.1_3.0_1694549877596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_bert_en_5.1.1_3.0_1694549877596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("nepal_bhasa_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("nepal_bhasa_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|411.1 MB|
+
+## References
+
+https://huggingface.co/onlydj96/new_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-nontoxiccivilbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-nontoxiccivilbert_en.md
new file mode 100644
index 00000000000000..1b6223c22ac5e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-nontoxiccivilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nontoxiccivilbert BertEmbeddings from Ashokajou51
+author: John Snow Labs
+name: nontoxiccivilbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`nontoxiccivilbert` is a English model originally trained by Ashokajou51.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nontoxiccivilbert_en_5.1.1_3.0_1694558265623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nontoxiccivilbert_en_5.1.1_3.0_1694558265623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("nontoxiccivilbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("nontoxiccivilbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nontoxiccivilbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/Ashokajou51/NonToxicCivilBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-norbert2_no.md b/docs/_posts/ahmedlone127/2023-09-12-norbert2_no.md
new file mode 100644
index 00000000000000..213b1d443ca767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-norbert2_no.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Norwegian norbert2 BertEmbeddings from ltg
+author: John Snow Labs
+name: norbert2
+date: 2023-09-12
+tags: [bert, "no", open_source, fill_mask, onnx]
+task: Embeddings
+language: "no"
+edition: Spark NLP 5.1.1
+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.`norbert2` is a Norwegian model originally trained by ltg.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert2_no_5.1.1_3.0_1694549723258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert2_no_5.1.1_3.0_1694549723258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("norbert2","no") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("norbert2", "no")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|no|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/ltg/norbert2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-norbert_no.md b/docs/_posts/ahmedlone127/2023-09-12-norbert_no.md
new file mode 100644
index 00000000000000..a4df72e7efb168
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-norbert_no.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Norwegian norbert BertEmbeddings from ltg
+author: John Snow Labs
+name: norbert
+date: 2023-09-12
+tags: [bert, "no", open_source, fill_mask, onnx]
+task: Embeddings
+language: "no"
+edition: Spark NLP 5.1.1
+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.`norbert` is a Norwegian model originally trained by ltg.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert_no_5.1.1_3.0_1694549544686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert_no_5.1.1_3.0_1694549544686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("norbert","no") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("norbert", "no")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|no|
+|Size:|415.1 MB|
+
+## References
+
+https://huggingface.co/ltg/norbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-original_topic_sports_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-original_topic_sports_bert_en.md
new file mode 100644
index 00000000000000..3232ea9752d74a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-original_topic_sports_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English original_topic_sports_bert BertEmbeddings from Kdogs
+author: John Snow Labs
+name: original_topic_sports_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`original_topic_sports_bert` is a English model originally trained by Kdogs.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/original_topic_sports_bert_en_5.1.1_3.0_1694560482579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/original_topic_sports_bert_en_5.1.1_3.0_1694560482579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("original_topic_sports_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("original_topic_sports_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|original_topic_sports_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/Kdogs/original_topic-sports_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-pharmbert_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-pharmbert_cased_en.md
new file mode 100644
index 00000000000000..ed24d3598bf5d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-pharmbert_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pharmbert_cased BertEmbeddings from Lianglab
+author: John Snow Labs
+name: pharmbert_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`pharmbert_cased` is a English model originally trained by Lianglab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pharmbert_cased_en_5.1.1_3.0_1694557329356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pharmbert_cased_en_5.1.1_3.0_1694557329356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("pharmbert_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("pharmbert_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pharmbert_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/Lianglab/PharmBERT-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-pharmbert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-pharmbert_uncased_en.md
new file mode 100644
index 00000000000000..5f2cb33bf1ba7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-pharmbert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pharmbert_uncased BertEmbeddings from Lianglab
+author: John Snow Labs
+name: pharmbert_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`pharmbert_uncased` is a English model originally trained by Lianglab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pharmbert_uncased_en_5.1.1_3.0_1694557457237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pharmbert_uncased_en_5.1.1_3.0_1694557457237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("pharmbert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("pharmbert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pharmbert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/Lianglab/PharmBERT-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-politbert_en.md b/docs/_posts/ahmedlone127/2023-09-12-politbert_en.md
new file mode 100644
index 00000000000000..195e729b9ccd71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-politbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English politbert BertEmbeddings from maurice
+author: John Snow Labs
+name: politbert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`politbert` is a English model originally trained by maurice.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politbert_en_5.1.1_3.0_1694552201401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politbert_en_5.1.1_3.0_1694552201401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("politbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("politbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/maurice/PolitBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-politibeto_es.md b/docs/_posts/ahmedlone127/2023-09-12-politibeto_es.md
new file mode 100644
index 00000000000000..bc5c7353660b4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-politibeto_es.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Castilian, Spanish politibeto BertEmbeddings from nlp-cimat
+author: John Snow Labs
+name: politibeto
+date: 2023-09-12
+tags: [bert, es, open_source, fill_mask, onnx]
+task: Embeddings
+language: es
+edition: Spark NLP 5.1.1
+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.`politibeto` is a Castilian, Spanish model originally trained by nlp-cimat.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politibeto_es_5.1.1_3.0_1694552289989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politibeto_es_5.1.1_3.0_1694552289989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("politibeto","es") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("politibeto", "es")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politibeto|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/nlp-cimat/politibeto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-practice00_en.md b/docs/_posts/ahmedlone127/2023-09-12-practice00_en.md
new file mode 100644
index 00000000000000..f9d0a6824d6643
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-practice00_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English practice00 BertEmbeddings from maroo93
+author: John Snow Labs
+name: practice00
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`practice00` is a English model originally trained by maroo93.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/practice00_en_5.1.1_3.0_1694551890248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/practice00_en_5.1.1_3.0_1694551890248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("practice00","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("practice00", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|practice00|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/maroo93/practice00
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-practice01_en.md b/docs/_posts/ahmedlone127/2023-09-12-practice01_en.md
new file mode 100644
index 00000000000000..5f9e32a79436c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-practice01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English practice01 BertEmbeddings from maroo93
+author: John Snow Labs
+name: practice01
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`practice01` is a English model originally trained by maroo93.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/practice01_en_5.1.1_3.0_1694552050711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/practice01_en_5.1.1_3.0_1694552050711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("practice01","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("practice01", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|practice01|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/maroo93/practice01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-prop_wiki_en.md b/docs/_posts/ahmedlone127/2023-09-12-prop_wiki_en.md
new file mode 100644
index 00000000000000..aeb8ae5ad638cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-prop_wiki_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English prop_wiki BertEmbeddings from xyma
+author: John Snow Labs
+name: prop_wiki
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`prop_wiki` is a English model originally trained by xyma.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prop_wiki_en_5.1.1_3.0_1694559423925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prop_wiki_en_5.1.1_3.0_1694559423925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("prop_wiki","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("prop_wiki", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prop_wiki|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/xyma/PROP-wiki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-psych_search_en.md b/docs/_posts/ahmedlone127/2023-09-12-psych_search_en.md
new file mode 100644
index 00000000000000..48d5a48e6daeaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-psych_search_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English psych_search BertEmbeddings from nlp4good
+author: John Snow Labs
+name: psych_search
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`psych_search` is a English model originally trained by nlp4good.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psych_search_en_5.1.1_3.0_1694560934620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psych_search_en_5.1.1_3.0_1694560934620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("psych_search","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("psych_search", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psych_search|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/nlp4good/psych-search
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-push_hub_test_en.md b/docs/_posts/ahmedlone127/2023-09-12-push_hub_test_en.md
new file mode 100644
index 00000000000000..b95fccd27651ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-push_hub_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English push_hub_test BertEmbeddings from ksmcg
+author: John Snow Labs
+name: push_hub_test
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`push_hub_test` is a English model originally trained by ksmcg.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/push_hub_test_en_5.1.1_3.0_1694510535660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/push_hub_test_en_5.1.1_3.0_1694510535660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("push_hub_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("push_hub_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|push_hub_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ksmcg/push_hub_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-quranexe_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-quranexe_bert_en.md
new file mode 100644
index 00000000000000..4bbdd21ce194d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-quranexe_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English quranexe_bert BertEmbeddings from mustapha
+author: John Snow Labs
+name: quranexe_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`quranexe_bert` is a English model originally trained by mustapha.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quranexe_bert_en_5.1.1_3.0_1694558398605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quranexe_bert_en_5.1.1_3.0_1694558398605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("quranexe_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("quranexe_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quranexe_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/mustapha/QuranExe-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-recipe_clean_steps_en.md b/docs/_posts/ahmedlone127/2023-09-12-recipe_clean_steps_en.md
new file mode 100644
index 00000000000000..417c168c798e0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-recipe_clean_steps_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English recipe_clean_steps BertEmbeddings from paola-md
+author: John Snow Labs
+name: recipe_clean_steps
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`recipe_clean_steps` is a English model originally trained by paola-md.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipe_clean_steps_en_5.1.1_3.0_1694553199740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipe_clean_steps_en_5.1.1_3.0_1694553199740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("recipe_clean_steps","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("recipe_clean_steps", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipe_clean_steps|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/paola-md/recipe-clean_steps
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-recipe_icelandic_en.md b/docs/_posts/ahmedlone127/2023-09-12-recipe_icelandic_en.md
new file mode 100644
index 00000000000000..1cb03fb36da554
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-recipe_icelandic_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English recipe_icelandic BertEmbeddings from paola-md
+author: John Snow Labs
+name: recipe_icelandic
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`recipe_icelandic` is a English model originally trained by paola-md.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipe_icelandic_en_5.1.1_3.0_1694552871118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipe_icelandic_en_5.1.1_3.0_1694552871118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("recipe_icelandic","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("recipe_icelandic", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipe_icelandic|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/paola-md/recipe-is
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-recipe_tis_en.md b/docs/_posts/ahmedlone127/2023-09-12-recipe_tis_en.md
new file mode 100644
index 00000000000000..729cacd4bd5546
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-recipe_tis_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English recipe_tis BertEmbeddings from paola-md
+author: John Snow Labs
+name: recipe_tis
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`recipe_tis` is a English model originally trained by paola-md.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipe_tis_en_5.1.1_3.0_1694552674837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipe_tis_en_5.1.1_3.0_1694552674837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("recipe_tis","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("recipe_tis", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipe_tis|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.5 MB|
+
+## References
+
+https://huggingface.co/paola-md/recipe-tis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-recipe_tsonga_en.md b/docs/_posts/ahmedlone127/2023-09-12-recipe_tsonga_en.md
new file mode 100644
index 00000000000000..98ebf54472d533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-recipe_tsonga_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English recipe_tsonga BertEmbeddings from paola-md
+author: John Snow Labs
+name: recipe_tsonga
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`recipe_tsonga` is a English model originally trained by paola-md.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipe_tsonga_en_5.1.1_3.0_1694553036897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipe_tsonga_en_5.1.1_3.0_1694553036897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("recipe_tsonga","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("recipe_tsonga", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipe_tsonga|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/paola-md/recipe-ts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-regex_gb_2021_en.md b/docs/_posts/ahmedlone127/2023-09-12-regex_gb_2021_en.md
new file mode 100644
index 00000000000000..f2188a7025182c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-regex_gb_2021_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English regex_gb_2021 BertEmbeddings from mossaic-candle
+author: John Snow Labs
+name: regex_gb_2021
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`regex_gb_2021` is a English model originally trained by mossaic-candle.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regex_gb_2021_en_5.1.1_3.0_1694508052972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regex_gb_2021_en_5.1.1_3.0_1694508052972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("regex_gb_2021","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("regex_gb_2021", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|regex_gb_2021|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|258.7 MB|
+
+## References
+
+https://huggingface.co/mossaic-candle/regex-gb-2021
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-relu_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-relu_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..6d7f6bb1a6785b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-relu_bert_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English relu_bert_base_uncased BertEmbeddings from mpiorczynski
+author: John Snow Labs
+name: relu_bert_base_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`relu_bert_base_uncased` is a English model originally trained by mpiorczynski.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/relu_bert_base_uncased_en_5.1.1_3.0_1694552781766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/relu_bert_base_uncased_en_5.1.1_3.0_1694552781766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("relu_bert_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("relu_bert_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|relu_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/mpiorczynski/relu-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-review_en.md b/docs/_posts/ahmedlone127/2023-09-12-review_en.md
new file mode 100644
index 00000000000000..197f37101b5c9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-review_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English review BertEmbeddings from Hikam22
+author: John Snow Labs
+name: review
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`review` is a English model originally trained by Hikam22.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/review_en_5.1.1_3.0_1694548928369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/review_en_5.1.1_3.0_1694548928369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("review","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("review", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|review|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|304.8 MB|
+
+## References
+
+https://huggingface.co/Hikam22/Review
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-sample_model_en.md b/docs/_posts/ahmedlone127/2023-09-12-sample_model_en.md
new file mode 100644
index 00000000000000..912b4592909e62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-sample_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sample_model BertEmbeddings from paopao0226
+author: John Snow Labs
+name: sample_model
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`sample_model` is a English model originally trained by paopao0226.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sample_model_en_5.1.1_3.0_1694509238918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sample_model_en_5.1.1_3.0_1694509238918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sample_model","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sample_model", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sample_model|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/paopao0226/sample-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-satd_identify_en.md b/docs/_posts/ahmedlone127/2023-09-12-satd_identify_en.md
new file mode 100644
index 00000000000000..e993ed0a4e0b9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-satd_identify_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English satd_identify BertEmbeddings from aavvvv
+author: John Snow Labs
+name: satd_identify
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`satd_identify` is a English model originally trained by aavvvv.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/satd_identify_en_5.1.1_3.0_1694557773164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/satd_identify_en_5.1.1_3.0_1694557773164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("satd_identify","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("satd_identify", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|satd_identify|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/aavvvv/satd-identify
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-scibert_lm_const_finetuned_20_en.md b/docs/_posts/ahmedlone127/2023-09-12-scibert_lm_const_finetuned_20_en.md
new file mode 100644
index 00000000000000..95bdfad4001cd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-scibert_lm_const_finetuned_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_lm_const_finetuned_20 BertEmbeddings from ariesutiono
+author: John Snow Labs
+name: scibert_lm_const_finetuned_20
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_lm_const_finetuned_20` is a English model originally trained by ariesutiono.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_lm_const_finetuned_20_en_5.1.1_3.0_1694559809758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_lm_const_finetuned_20_en_5.1.1_3.0_1694559809758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_lm_const_finetuned_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_lm_const_finetuned_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_lm_const_finetuned_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|499.5 MB|
+
+## References
+
+https://huggingface.co/ariesutiono/scibert-lm-const-finetuned-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-scibert_scivocab_finetuned_cord19_en.md b/docs/_posts/ahmedlone127/2023-09-12-scibert_scivocab_finetuned_cord19_en.md
new file mode 100644
index 00000000000000..07418accd72d53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-scibert_scivocab_finetuned_cord19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_finetuned_cord19 BertEmbeddings from mrm8488
+author: John Snow Labs
+name: scibert_scivocab_finetuned_cord19
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_scivocab_finetuned_cord19` is a English model originally trained by mrm8488.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_finetuned_cord19_en_5.1.1_3.0_1694556414909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_finetuned_cord19_en_5.1.1_3.0_1694556414909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_scivocab_finetuned_cord19","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_scivocab_finetuned_cord19", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_finetuned_cord19|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/mrm8488/scibert_scivocab-finetuned-CORD19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-scibert_scivocab_uncased_ft_mlm_sdu21_ai_en.md b/docs/_posts/ahmedlone127/2023-09-12-scibert_scivocab_uncased_ft_mlm_sdu21_ai_en.md
new file mode 100644
index 00000000000000..9565c044e1500c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-scibert_scivocab_uncased_ft_mlm_sdu21_ai_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_uncased_ft_mlm_sdu21_ai BertEmbeddings from napsternxg
+author: John Snow Labs
+name: scibert_scivocab_uncased_ft_mlm_sdu21_ai
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_scivocab_uncased_ft_mlm_sdu21_ai` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_ft_mlm_sdu21_ai_en_5.1.1_3.0_1694557218055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_ft_mlm_sdu21_ai_en_5.1.1_3.0_1694557218055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_scivocab_uncased_ft_mlm_sdu21_ai","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_scivocab_uncased_ft_mlm_sdu21_ai", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_uncased_ft_mlm_sdu21_ai|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/napsternxg/scibert_scivocab_uncased_ft_mlm_SDU21_AI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-sec_bert_num_en.md b/docs/_posts/ahmedlone127/2023-09-12-sec_bert_num_en.md
new file mode 100644
index 00000000000000..469ff415dafe13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-sec_bert_num_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sec_bert_num BertEmbeddings from nlpaueb
+author: John Snow Labs
+name: sec_bert_num
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`sec_bert_num` is a English model originally trained by nlpaueb.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sec_bert_num_en_5.1.1_3.0_1694561918110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sec_bert_num_en_5.1.1_3.0_1694561918110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sec_bert_num","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sec_bert_num", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sec_bert_num|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/nlpaueb/sec-bert-num
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-sec_bert_shape_en.md b/docs/_posts/ahmedlone127/2023-09-12-sec_bert_shape_en.md
new file mode 100644
index 00000000000000..8a2d6149f908f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-sec_bert_shape_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sec_bert_shape BertEmbeddings from nlpaueb
+author: John Snow Labs
+name: sec_bert_shape
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`sec_bert_shape` is a English model originally trained by nlpaueb.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sec_bert_shape_en_5.1.1_3.0_1694562038680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sec_bert_shape_en_5.1.1_3.0_1694562038680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sec_bert_shape","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sec_bert_shape", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sec_bert_shape|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/nlpaueb/sec-bert-shape
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-set_date_1_bert_base_uncased_finetuned_with_haystack_en.md b/docs/_posts/ahmedlone127/2023-09-12-set_date_1_bert_base_uncased_finetuned_with_haystack_en.md
new file mode 100644
index 00000000000000..6edab9d5cd7a1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-set_date_1_bert_base_uncased_finetuned_with_haystack_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English set_date_1_bert_base_uncased_finetuned_with_haystack BertEmbeddings from motiondew
+author: John Snow Labs
+name: set_date_1_bert_base_uncased_finetuned_with_haystack
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`set_date_1_bert_base_uncased_finetuned_with_haystack` is a English model originally trained by motiondew.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/set_date_1_bert_base_uncased_finetuned_with_haystack_en_5.1.1_3.0_1694556116394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/set_date_1_bert_base_uncased_finetuned_with_haystack_en_5.1.1_3.0_1694556116394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("set_date_1_bert_base_uncased_finetuned_with_haystack","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("set_date_1_bert_base_uncased_finetuned_with_haystack", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|set_date_1_bert_base_uncased_finetuned_with_haystack|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/motiondew/set_date_1_bert-base-uncased_finetuned_with_haystack
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-set_date_1_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-set_date_1_bert_en.md
new file mode 100644
index 00000000000000..bf626cb2fa66c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-set_date_1_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English set_date_1_bert BertEmbeddings from motiondew
+author: John Snow Labs
+name: set_date_1_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`set_date_1_bert` is a English model originally trained by motiondew.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/set_date_1_bert_en_5.1.1_3.0_1694555975958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/set_date_1_bert_en_5.1.1_3.0_1694555975958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("set_date_1_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("set_date_1_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|set_date_1_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/motiondew/set_date_1-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_conll2003_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_conll2003_custom_tokenizer_en.md
new file mode 100644
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@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_conll2003_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_conll2003_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_conll2003_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_conll2003_custom_tokenizer_en_5.1.1_3.0_1694549308806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_conll2003_custom_tokenizer_en_5.1.1_3.0_1694549308806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_conll2003_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_conll2003_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_conll2003_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-conll2003-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_conll2003_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_conll2003_en.md
new file mode 100644
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@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_conll2003 BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_conll2003
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_conll2003` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_conll2003_en_5.1.1_3.0_1694549226176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_conll2003_en_5.1.1_3.0_1694549226176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_conll2003","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_conll2003", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_conll2003|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_conll2003_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_conll2003_from_scratch_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_conll2003_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_conll2003_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_conll2003_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_conll2003_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_conll2003_from_scratch_en_5.1.1_3.0_1694555844684.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_conll2003_from_scratch_en_5.1.1_3.0_1694555844684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_conll2003_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_conll2003_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_conll2003_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-conll2003-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..6d9d9821b8bb12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_cola_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_cola_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_cola_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_custom_tokenizer_en_5.1.1_3.0_1694509168848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_custom_tokenizer_en_5.1.1_3.0_1694509168848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_cola_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_cola_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_cola_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-cola-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..4174b6cd63d5ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_cola_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_cola_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_cola_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561193785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561193785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_cola_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_cola_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_cola_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|112.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-cola-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_cola BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_cola
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_cola` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_en_5.1.1_3.0_1694508239344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_en_5.1.1_3.0_1694508239344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_cola","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_cola", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_cola|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..24e218dc859816
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561372145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561372145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|112.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..c31269ced1c35b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mnli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mnli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mnli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_custom_tokenizer_en_5.1.1_3.0_1694509261561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_custom_tokenizer_en_5.1.1_3.0_1694509261561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mnli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mnli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mnli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mnli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..043b61fafdca4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mnli_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mnli_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mnli_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561610937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561610937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mnli_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mnli_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mnli_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|132.3 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mnli-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_en.md
new file mode 100644
index 00000000000000..2332ba65e00450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mnli BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mnli
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mnli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_en_5.1.1_3.0_1694508322641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_en_5.1.1_3.0_1694508322641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mnli","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mnli", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mnli|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..4e699bc0e5e97b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561907695.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561907695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|132.3 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mnli-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..bd525709fd0d84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mrpc_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mrpc_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mrpc_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_custom_tokenizer_en_5.1.1_3.0_1694509478690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_custom_tokenizer_en_5.1.1_3.0_1694509478690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mrpc_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mrpc_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mrpc_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mrpc-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..38d99dfd891555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mrpc_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mrpc_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mrpc_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562480371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562480371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mrpc_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mrpc_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mrpc_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|120.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mrpc-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_en.md
new file mode 100644
index 00000000000000..bbb332065ce655
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mrpc BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mrpc
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mrpc` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_en_5.1.1_3.0_1694508535779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_en_5.1.1_3.0_1694508535779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mrpc","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mrpc", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mrpc|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..52fbd586d3f702
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562732313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562732313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|120.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-mrpc-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..97470becbbd9c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_qnli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_qnli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_qnli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_custom_tokenizer_en_5.1.1_3.0_1694509564873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_custom_tokenizer_en_5.1.1_3.0_1694509564873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_qnli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_qnli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_qnli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-qnli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_en.md
new file mode 100644
index 00000000000000..71498ecaadd4d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_qnli BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_qnli
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_qnli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_en_5.1.1_3.0_1694508618886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_en_5.1.1_3.0_1694508618886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_qnli","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_qnli", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_qnli|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_from_scratch_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_from_scratch_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..045f2965f76d2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qnli_from_scratch_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_qnli_from_scratch_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_qnli_from_scratch_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_qnli_from_scratch_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694552340480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694552340480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_qnli_from_scratch_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_qnli_from_scratch_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_qnli_from_scratch_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-qnli-from-scratch-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qqp_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qqp_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..bd5955a1f6e764
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qqp_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_qqp_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_qqp_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_qqp_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qqp_custom_tokenizer_en_5.1.1_3.0_1694509649898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qqp_custom_tokenizer_en_5.1.1_3.0_1694509649898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_qqp_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_qqp_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_qqp_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-qqp-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qqp_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qqp_en.md
new file mode 100644
index 00000000000000..6e4f20b08ad113
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_qqp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_qqp BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_qqp
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_qqp` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qqp_en_5.1.1_3.0_1694508712348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qqp_en_5.1.1_3.0_1694508712348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_qqp","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_qqp", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_qqp|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_rte_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_rte_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..4d21a83f168089
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_rte_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_rte_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_rte_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_rte_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_custom_tokenizer_en_5.1.1_3.0_1694509735612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_custom_tokenizer_en_5.1.1_3.0_1694509735612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_rte_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_rte_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_rte_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-rte-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_rte_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_rte_en.md
new file mode 100644
index 00000000000000..e259afbe76f735
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_rte_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_rte BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_rte
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_rte` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_en_5.1.1_3.0_1694508793653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_en_5.1.1_3.0_1694508793653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_rte","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_rte", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_rte|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_sst2_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_sst2_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..39f5f36b12d5e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_sst2_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_sst2_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_sst2_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_sst2_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_custom_tokenizer_en_5.1.1_3.0_1694509835393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_custom_tokenizer_en_5.1.1_3.0_1694509835393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_sst2_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_sst2_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_sst2_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-sst2-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_sst2_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_sst2_en.md
new file mode 100644
index 00000000000000..0ccb73aaf94f88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_sst2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_sst2 BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_sst2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_sst2` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_en_5.1.1_3.0_1694508920238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_en_5.1.1_3.0_1694508920238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_sst2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_sst2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_sst2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_stsb_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_stsb_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..99565eded80454
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_stsb_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_stsb_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_stsb_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_stsb_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_custom_tokenizer_en_5.1.1_3.0_1694509912489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_custom_tokenizer_en_5.1.1_3.0_1694509912489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_stsb_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_stsb_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_stsb_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-stsb-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_stsb_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_stsb_en.md
new file mode 100644
index 00000000000000..bfa92c4f11fa24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_stsb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_stsb BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_stsb
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_stsb` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_en_5.1.1_3.0_1694509008527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_en_5.1.1_3.0_1694509008527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_stsb","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_stsb", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_stsb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_wnli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_wnli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..5a24f818bbf09a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_wnli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_wnli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_wnli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_wnli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_wnli_custom_tokenizer_en_5.1.1_3.0_1694510024053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_wnli_custom_tokenizer_en_5.1.1_3.0_1694510024053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_wnli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_wnli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_wnli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-wnli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_wnli_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_wnli_en.md
new file mode 100644
index 00000000000000..e7ad7199f2b60b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_glue_wnli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_wnli BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_wnli
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_wnli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_wnli_en_5.1.1_3.0_1694509092224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_wnli_en_5.1.1_3.0_1694509092224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_wnli","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_wnli", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_wnli|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-wnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_imdb_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_imdb_from_scratch_en.md
new file mode 100644
index 00000000000000..435fc8604cbd35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_imdb_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_imdb_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_imdb_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_imdb_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_imdb_from_scratch_en_5.1.1_3.0_1694556494575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_imdb_from_scratch_en_5.1.1_3.0_1694556494575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_imdb_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_imdb_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_imdb_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-imdb-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..d6072ae617d93e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_rotten_tomatoes_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_rotten_tomatoes_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_rotten_tomatoes_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_rotten_tomatoes_custom_tokenizer_en_5.1.1_3.0_1694549132801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_rotten_tomatoes_custom_tokenizer_en_5.1.1_3.0_1694549132801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_rotten_tomatoes_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_rotten_tomatoes_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_rotten_tomatoes_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-rotten_tomatoes-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_en.md
new file mode 100644
index 00000000000000..e6d871875cbae0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_rotten_tomatoes BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_rotten_tomatoes
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_rotten_tomatoes` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_rotten_tomatoes_en_5.1.1_3.0_1694549024792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_rotten_tomatoes_en_5.1.1_3.0_1694549024792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_rotten_tomatoes","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_rotten_tomatoes", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_rotten_tomatoes|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-rotten_tomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_from_scratch_en.md
new file mode 100644
index 00000000000000..f02bcd6dc7d0e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_rotten_tomatoes_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_rotten_tomatoes_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_rotten_tomatoes_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_rotten_tomatoes_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_rotten_tomatoes_from_scratch_en_5.1.1_3.0_1694556082715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_rotten_tomatoes_from_scratch_en_5.1.1_3.0_1694556082715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_rotten_tomatoes_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_rotten_tomatoes_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_rotten_tomatoes_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-rotten_tomatoes-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..b7baa5d9ae69d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_snli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_snli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_snli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_snli_custom_tokenizer_en_5.1.1_3.0_1694549568395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_snli_custom_tokenizer_en_5.1.1_3.0_1694549568395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_snli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_snli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_snli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-snli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_en.md
new file mode 100644
index 00000000000000..7184e8b0f81254
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_snli BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_snli
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_snli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_snli_en_5.1.1_3.0_1694549486115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_snli_en_5.1.1_3.0_1694549486115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_snli","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_snli", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_snli|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_from_scratch_en.md
new file mode 100644
index 00000000000000..af74e062bd8cd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_snli_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_snli_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_snli_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_snli_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_snli_from_scratch_en_5.1.1_3.0_1694556408270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_snli_from_scratch_en_5.1.1_3.0_1694556408270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_snli_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_snli_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_snli_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-snli-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_squad_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_squad_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..71c53adcb7862f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_squad_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_squad_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_squad_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_squad_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_squad_custom_tokenizer_en_5.1.1_3.0_1694547690830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_squad_custom_tokenizer_en_5.1.1_3.0_1694547690830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_squad_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_squad_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_squad_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-squad-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_squad_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_squad_en.md
new file mode 100644
index 00000000000000..88957ff7bd7aa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_squad BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_squad
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_squad` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_squad_en_5.1.1_3.0_1694547514364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_squad_en_5.1.1_3.0_1694547514364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_squad","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_squad", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_squad|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_tweet_eval_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_tweet_eval_from_scratch_en.md
new file mode 100644
index 00000000000000..ffba4d5978e137
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_tweet_eval_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_tweet_eval_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_tweet_eval_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_tweet_eval_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_tweet_eval_from_scratch_en_5.1.1_3.0_1694555281014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_tweet_eval_from_scratch_en_5.1.1_3.0_1694555281014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_tweet_eval_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_tweet_eval_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_tweet_eval_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-tweet_eval-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..a678a8c8a89aec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_wikitext_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_wikitext_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_wikitext_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_custom_tokenizer_en_5.1.1_3.0_1694548914392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_custom_tokenizer_en_5.1.1_3.0_1694548914392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_wikitext_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_wikitext_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_wikitext_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-wikitext-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_en.md
new file mode 100644
index 00000000000000..5addb769947b43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_wikitext BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_wikitext
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_wikitext` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_en_5.1.1_3.0_1694548827535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_en_5.1.1_3.0_1694548827535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_wikitext","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_wikitext", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_wikitext|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-wikitext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_from_scratch_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_from_scratch_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..7b18c3d6f73109
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_from_scratch_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_wikitext_from_scratch_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_wikitext_from_scratch_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_wikitext_from_scratch_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694554676967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694554676967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_wikitext_from_scratch_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_wikitext_from_scratch_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_wikitext_from_scratch_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-wikitext-from-scratch-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_from_scratch_en.md
new file mode 100644
index 00000000000000..3effc5c3c26392
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-small_mlm_wikitext_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_wikitext_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_wikitext_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_wikitext_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_from_scratch_en_5.1.1_3.0_1694556248548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_wikitext_from_scratch_en_5.1.1_3.0_1694556248548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_wikitext_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_wikitext_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_wikitext_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-wikitext-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-sp_bert_en.md b/docs/_posts/ahmedlone127/2023-09-12-sp_bert_en.md
new file mode 100644
index 00000000000000..63763e7dbc4f14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-sp_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sp_bert BertEmbeddings from tumd
+author: John Snow Labs
+name: sp_bert
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`sp_bert` is a English model originally trained by tumd.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sp_bert_en_5.1.1_3.0_1694549714006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sp_bert_en_5.1.1_3.0_1694549714006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sp_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sp_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sp_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.7 MB|
+
+## References
+
+https://huggingface.co/tumd/sp-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ssci_bert_e2_en.md b/docs/_posts/ahmedlone127/2023-09-12-ssci_bert_e2_en.md
new file mode 100644
index 00000000000000..ba92b1d931e349
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ssci_bert_e2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ssci_bert_e2 BertEmbeddings from KM4STfulltext
+author: John Snow Labs
+name: ssci_bert_e2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ssci_bert_e2` is a English model originally trained by KM4STfulltext.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssci_bert_e2_en_5.1.1_3.0_1694508246464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssci_bert_e2_en_5.1.1_3.0_1694508246464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ssci_bert_e2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ssci_bert_e2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssci_bert_e2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/KM4STfulltext/SSCI-BERT-e2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ssci_bert_e4_en.md b/docs/_posts/ahmedlone127/2023-09-12-ssci_bert_e4_en.md
new file mode 100644
index 00000000000000..b64ed6bbf787a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ssci_bert_e4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ssci_bert_e4 BertEmbeddings from KM4STfulltext
+author: John Snow Labs
+name: ssci_bert_e4
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ssci_bert_e4` is a English model originally trained by KM4STfulltext.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssci_bert_e4_en_5.1.1_3.0_1694508373404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssci_bert_e4_en_5.1.1_3.0_1694508373404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ssci_bert_e4","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ssci_bert_e4", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssci_bert_e4|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/KM4STfulltext/SSCI-BERT-e4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ssci_scibert_e2_en.md b/docs/_posts/ahmedlone127/2023-09-12-ssci_scibert_e2_en.md
new file mode 100644
index 00000000000000..1e99d99f79b07a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ssci_scibert_e2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ssci_scibert_e2 BertEmbeddings from KM4STfulltext
+author: John Snow Labs
+name: ssci_scibert_e2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ssci_scibert_e2` is a English model originally trained by KM4STfulltext.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssci_scibert_e2_en_5.1.1_3.0_1694508512306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssci_scibert_e2_en_5.1.1_3.0_1694508512306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ssci_scibert_e2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ssci_scibert_e2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssci_scibert_e2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/KM4STfulltext/SSCI-SciBERT-e2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ssci_scibert_e4_en.md b/docs/_posts/ahmedlone127/2023-09-12-ssci_scibert_e4_en.md
new file mode 100644
index 00000000000000..092e2a997f643a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ssci_scibert_e4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ssci_scibert_e4 BertEmbeddings from KM4STfulltext
+author: John Snow Labs
+name: ssci_scibert_e4
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ssci_scibert_e4` is a English model originally trained by KM4STfulltext.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssci_scibert_e4_en_5.1.1_3.0_1694508639778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssci_scibert_e4_en_5.1.1_3.0_1694508639778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ssci_scibert_e4","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ssci_scibert_e4", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssci_scibert_e4|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/KM4STfulltext/SSCI-SciBERT-e4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-telugu_bertu_te.md b/docs/_posts/ahmedlone127/2023-09-12-telugu_bertu_te.md
new file mode 100644
index 00000000000000..feb4cc314f2447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-telugu_bertu_te.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Telugu telugu_bertu BertEmbeddings from kuppuluri
+author: John Snow Labs
+name: telugu_bertu
+date: 2023-09-12
+tags: [bert, te, open_source, fill_mask, onnx]
+task: Embeddings
+language: te
+edition: Spark NLP 5.1.1
+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.`telugu_bertu` is a Telugu model originally trained by kuppuluri.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/telugu_bertu_te_5.1.1_3.0_1694510680655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/telugu_bertu_te_5.1.1_3.0_1694510680655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("telugu_bertu","te") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("telugu_bertu", "te")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|telugu_bertu|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|te|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/kuppuluri/telugu_bertu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-test_model_nws_en.md b/docs/_posts/ahmedlone127/2023-09-12-test_model_nws_en.md
new file mode 100644
index 00000000000000..9c8ca16c8f2d54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-test_model_nws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_model_nws BertEmbeddings from nws
+author: John Snow Labs
+name: test_model_nws
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`test_model_nws` is a English model originally trained by nws.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_nws_en_5.1.1_3.0_1694562663160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_nws_en_5.1.1_3.0_1694562663160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("test_model_nws","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("test_model_nws", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_nws|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/nws/test_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_bert_turkish_cased_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_bert_turkish_cased_en.md
new file mode 100644
index 00000000000000..98cdccd4f0dfac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_bert_turkish_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_bert_turkish_cased BertEmbeddings from uygarkurt
+author: John Snow Labs
+name: tiny_bert_turkish_cased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_bert_turkish_cased` is a English model originally trained by uygarkurt.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_turkish_cased_en_5.1.1_3.0_1694509025179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_turkish_cased_en_5.1.1_3.0_1694509025179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_bert_turkish_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_bert_turkish_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_turkish_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|17.4 MB|
+
+## References
+
+https://huggingface.co/uygarkurt/tiny-bert-turkish-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..3ad78833fd3a6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_conll2003_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_conll2003_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_conll2003_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_conll2003_custom_tokenizer_en_5.1.1_3.0_1694548724810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_conll2003_custom_tokenizer_en_5.1.1_3.0_1694548724810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_conll2003_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_conll2003_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_conll2003_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-conll2003-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_en.md
new file mode 100644
index 00000000000000..c6797bc36f72fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_conll2003 BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_conll2003
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_conll2003` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_conll2003_en_5.1.1_3.0_1694548620549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_conll2003_en_5.1.1_3.0_1694548620549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_conll2003","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_conll2003", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_conll2003|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_from_scratch_en.md
new file mode 100644
index 00000000000000..7467ed42fd81a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_conll2003_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_conll2003_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_conll2003_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_conll2003_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_conll2003_from_scratch_en_5.1.1_3.0_1694555420238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_conll2003_from_scratch_en_5.1.1_3.0_1694555420238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_conll2003_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_conll2003_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_conll2003_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-conll2003-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..3c2eeb688abfad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_cola_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_cola_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_cola_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_cola_custom_tokenizer_en_5.1.1_3.0_1694510104742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_cola_custom_tokenizer_en_5.1.1_3.0_1694510104742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_cola_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_cola_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_cola_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-cola-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..acaa7b9bf20156
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_cola_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_cola_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_cola_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_cola_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561081439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_cola_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561081439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_cola_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_cola_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_cola_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|17.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-cola-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..f74c75c1c82133
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561266748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561266748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_cola_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|17.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..5b3b531154c3ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_mnli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_mnli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_mnli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mnli_custom_tokenizer_en_5.1.1_3.0_1694510167051.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mnli_custom_tokenizer_en_5.1.1_3.0_1694510167051.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_mnli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_mnli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_mnli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-mnli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..7de7e773837c40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561453097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561453097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_mnli_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|23.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-mnli-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..963f638a4de5a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561530936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561530936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|22.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mrpc_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mrpc_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..5fbfae07caa856
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mrpc_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_mrpc_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_mrpc_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_mrpc_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mrpc_custom_tokenizer_en_5.1.1_3.0_1694510364675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mrpc_custom_tokenizer_en_5.1.1_3.0_1694510364675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_mrpc_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_mrpc_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_mrpc_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-mrpc-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..a997aa904cf11f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561983732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694561983732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_mrpc_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..270d4f0f4faaad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_qnli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_qnli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_qnli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_custom_tokenizer_en_5.1.1_3.0_1694510431505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_custom_tokenizer_en_5.1.1_3.0_1694510431505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_qnli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_qnli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_qnli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qnli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..156a579db32ff1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562076733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562076733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_qnli_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|23.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qnli-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..0e3fca53ddbf77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_qnli_from_scratch_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_qnli_from_scratch_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_qnli_from_scratch_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694551714525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694551714525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_qnli_from_scratch_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_qnli_from_scratch_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_qnli_from_scratch_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..478509e8a9a56e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562151869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562151869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|23.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qqp_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qqp_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..6909097034f0a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qqp_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_qqp_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_qqp_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_qqp_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qqp_custom_tokenizer_en_5.1.1_3.0_1694510502065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qqp_custom_tokenizer_en_5.1.1_3.0_1694510502065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_qqp_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_qqp_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_qqp_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qqp-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..3cf412c1eaba1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562240997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562240997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_qqp_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|20.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qqp-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..7246fe54c0f393
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_rte_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_rte_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_rte_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_custom_tokenizer_en_5.1.1_3.0_1694510577450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_custom_tokenizer_en_5.1.1_3.0_1694510577450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_rte_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_rte_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_rte_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-rte-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..09ab6e1ca7c962
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_rte_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_rte_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_rte_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562388375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562388375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_rte_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_rte_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_rte_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|21.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-rte-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_en.md
new file mode 100644
index 00000000000000..05284e64932d0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_rte BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_rte
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_rte` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_en_5.1.1_3.0_1694507941819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_en_5.1.1_3.0_1694507941819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_rte","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_rte", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_rte|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..e19640033c6f5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562556409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562556409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|21.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-rte-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..ba54ab1e43eaac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_sst2_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_sst2_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_sst2_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_custom_tokenizer_en_5.1.1_3.0_1694510651635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_custom_tokenizer_en_5.1.1_3.0_1694510651635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_sst2_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_sst2_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_sst2_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-sst2-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..f9dad70b89ea83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562631751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562631751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_sst2_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|20.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-sst2-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_en.md
new file mode 100644
index 00000000000000..6933cb5f41fb70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_sst2 BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_sst2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_sst2` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_en_5.1.1_3.0_1694508015211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_en_5.1.1_3.0_1694508015211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_sst2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_sst2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_sst2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..61d3b9de6cc152
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562828413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562828413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-sst2-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..262b9d228c901d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_stsb_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_stsb_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_stsb_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_custom_tokenizer_en_5.1.1_3.0_1694510712289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_custom_tokenizer_en_5.1.1_3.0_1694510712289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_stsb_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_stsb_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_stsb_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-stsb-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..33f2db9d861ce5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562907425.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694562907425.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_stsb_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.3 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-stsb-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_en.md
new file mode 100644
index 00000000000000..f328d8d1a3cfcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_stsb BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_stsb
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_stsb` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_en_5.1.1_3.0_1694508086728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_en_5.1.1_3.0_1694508086728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_stsb","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_stsb", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_stsb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..0bfa6281e1b19d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563003418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563003418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-stsb-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..88db108e7cdc39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_wnli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_wnli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_wnli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_custom_tokenizer_en_5.1.1_3.0_1694510789128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_custom_tokenizer_en_5.1.1_3.0_1694510789128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_wnli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_wnli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_wnli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-wnli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..da84a639e3f14d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563181376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563181376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_wnli_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-wnli-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_en.md
new file mode 100644
index 00000000000000..94cd0e4bf27200
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_glue_wnli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_wnli BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_wnli
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_wnli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_en_5.1.1_3.0_1694508154889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_en_5.1.1_3.0_1694508154889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_wnli","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_wnli", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_wnli|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-wnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_imdb_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_imdb_from_scratch_en.md
new file mode 100644
index 00000000000000..369e2feb274541
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_imdb_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_imdb_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_imdb_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_imdb_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_imdb_from_scratch_en_5.1.1_3.0_1694556163748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_imdb_from_scratch_en_5.1.1_3.0_1694556163748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_imdb_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_imdb_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_imdb_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-imdb-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..d39c2419c31401
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_rotten_tomatoes_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_rotten_tomatoes_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_rotten_tomatoes_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_rotten_tomatoes_custom_tokenizer_en_5.1.1_3.0_1694548541463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_rotten_tomatoes_custom_tokenizer_en_5.1.1_3.0_1694548541463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_rotten_tomatoes_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_rotten_tomatoes_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_rotten_tomatoes_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-rotten_tomatoes-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_en.md
new file mode 100644
index 00000000000000..12fa5aab55c4b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_rotten_tomatoes BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_rotten_tomatoes
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_rotten_tomatoes` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_rotten_tomatoes_en_5.1.1_3.0_1694548478733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_rotten_tomatoes_en_5.1.1_3.0_1694548478733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_rotten_tomatoes","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_rotten_tomatoes", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_rotten_tomatoes|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-rotten_tomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_from_scratch_en.md
new file mode 100644
index 00000000000000..6daac517dfb2b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_rotten_tomatoes_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_rotten_tomatoes_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_rotten_tomatoes_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_rotten_tomatoes_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_rotten_tomatoes_from_scratch_en_5.1.1_3.0_1694555692732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_rotten_tomatoes_from_scratch_en_5.1.1_3.0_1694555692732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_rotten_tomatoes_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_rotten_tomatoes_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_rotten_tomatoes_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-rotten_tomatoes-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_snli_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_snli_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..4ca9d57aca3214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_snli_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_snli_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_snli_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_snli_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_snli_custom_tokenizer_en_5.1.1_3.0_1694549373032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_snli_custom_tokenizer_en_5.1.1_3.0_1694549373032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_snli_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_snli_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_snli_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-snli-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_snli_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_snli_from_scratch_en.md
new file mode 100644
index 00000000000000..c9ceda951d0c43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_snli_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_snli_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_snli_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_snli_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_snli_from_scratch_en_5.1.1_3.0_1694555995371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_snli_from_scratch_en_5.1.1_3.0_1694555995371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_snli_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_snli_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_snli_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-snli-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_squad_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_squad_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..e0dcd2d50a5ab6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_squad_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_squad_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_squad_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_squad_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_squad_custom_tokenizer_en_5.1.1_3.0_1694547599498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_squad_custom_tokenizer_en_5.1.1_3.0_1694547599498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_squad_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_squad_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_squad_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.5 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-squad-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_squad_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_squad_en.md
new file mode 100644
index 00000000000000..44e83102346a03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_squad BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_squad
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_squad` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_squad_en_5.1.1_3.0_1694547423091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_squad_en_5.1.1_3.0_1694547423091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_squad","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_squad", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_squad|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_tweet_eval_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_tweet_eval_from_scratch_en.md
new file mode 100644
index 00000000000000..3105b80e311ead
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_tweet_eval_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_tweet_eval_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_tweet_eval_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_tweet_eval_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_tweet_eval_from_scratch_en_5.1.1_3.0_1694555163619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_tweet_eval_from_scratch_en_5.1.1_3.0_1694555163619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_tweet_eval_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_tweet_eval_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_tweet_eval_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-tweet_eval-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..23a14f4c6ed1a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_wikitext_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_wikitext_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_wikitext_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_custom_tokenizer_en_5.1.1_3.0_1694548410883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_custom_tokenizer_en_5.1.1_3.0_1694548410883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_wikitext_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_wikitext_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_wikitext_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-wikitext-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_en.md
new file mode 100644
index 00000000000000..718a20122eed20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_wikitext BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_wikitext
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_wikitext` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_en_5.1.1_3.0_1694548328415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_en_5.1.1_3.0_1694548328415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_wikitext","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_wikitext", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_wikitext|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-wikitext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_from_scratch_custom_tokenizer_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_from_scratch_custom_tokenizer_en.md
new file mode 100644
index 00000000000000..1afc42653b28cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_from_scratch_custom_tokenizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_wikitext_from_scratch_custom_tokenizer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_wikitext_from_scratch_custom_tokenizer
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_wikitext_from_scratch_custom_tokenizer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694554282672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_from_scratch_custom_tokenizer_en_5.1.1_3.0_1694554282672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_wikitext_from_scratch_custom_tokenizer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_wikitext_from_scratch_custom_tokenizer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_wikitext_from_scratch_custom_tokenizer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-wikitext-from-scratch-custom-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_from_scratch_en.md b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_from_scratch_en.md
new file mode 100644
index 00000000000000..7e8d46e34f0bee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-tiny_mlm_wikitext_from_scratch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_wikitext_from_scratch BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_wikitext_from_scratch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_wikitext_from_scratch` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_from_scratch_en_5.1.1_3.0_1694555916739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_wikitext_from_scratch_en_5.1.1_3.0_1694555916739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_wikitext_from_scratch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_wikitext_from_scratch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_wikitext_from_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-wikitext-from-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-twitch_bert_base_cased_pytorch_en.md b/docs/_posts/ahmedlone127/2023-09-12-twitch_bert_base_cased_pytorch_en.md
new file mode 100644
index 00000000000000..da34a0b57d8d48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-twitch_bert_base_cased_pytorch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English twitch_bert_base_cased_pytorch BertEmbeddings from veb
+author: John Snow Labs
+name: twitch_bert_base_cased_pytorch
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`twitch_bert_base_cased_pytorch` is a English model originally trained by veb.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitch_bert_base_cased_pytorch_en_5.1.1_3.0_1694554479279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitch_bert_base_cased_pytorch_en_5.1.1_3.0_1694554479279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("twitch_bert_base_cased_pytorch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("twitch_bert_base_cased_pytorch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitch_bert_base_cased_pytorch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/veb/twitch-bert-base-cased-pytorch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e1_en.md b/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e1_en.md
new file mode 100644
index 00000000000000..dad45e9deeb701
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ugmultbert_e1 BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: ugmultbert_e1
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ugmultbert_e1` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ugmultbert_e1_en_5.1.1_3.0_1694550516279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ugmultbert_e1_en_5.1.1_3.0_1694550516279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ugmultbert_e1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ugmultbert_e1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ugmultbert_e1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.4 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/UgMultBERT_e1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e2_en.md b/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e2_en.md
new file mode 100644
index 00000000000000..e4235ef45efb29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ugmultbert_e2 BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: ugmultbert_e2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ugmultbert_e2` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ugmultbert_e2_en_5.1.1_3.0_1694551678403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ugmultbert_e2_en_5.1.1_3.0_1694551678403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ugmultbert_e2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ugmultbert_e2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ugmultbert_e2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.2 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/UgMultBERT_e2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e3_en.md b/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e3_en.md
new file mode 100644
index 00000000000000..63facb54a8d3a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ugmultbert_e3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ugmultbert_e3 BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: ugmultbert_e3
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ugmultbert_e3` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ugmultbert_e3_en_5.1.1_3.0_1694551842232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ugmultbert_e3_en_5.1.1_3.0_1694551842232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ugmultbert_e3","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ugmultbert_e3", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ugmultbert_e3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.0 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/UgMultBERT_e3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ugmultmtokbert_3e_en.md b/docs/_posts/ahmedlone127/2023-09-12-ugmultmtokbert_3e_en.md
new file mode 100644
index 00000000000000..0c2e7e90013903
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ugmultmtokbert_3e_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ugmultmtokbert_3e BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: ugmultmtokbert_3e
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ugmultmtokbert_3e` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ugmultmtokbert_3e_en_5.1.1_3.0_1694551069053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ugmultmtokbert_3e_en_5.1.1_3.0_1694551069053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ugmultmtokbert_3e","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ugmultmtokbert_3e", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ugmultmtokbert_3e|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|742.6 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/UgMultMTokBERT_3e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e1_en.md b/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e1_en.md
new file mode 100644
index 00000000000000..841bbafc098785
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ugturkbert_e1 BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: ugturkbert_e1
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ugturkbert_e1` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ugturkbert_e1_en_5.1.1_3.0_1694551986988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ugturkbert_e1_en_5.1.1_3.0_1694551986988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ugturkbert_e1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ugturkbert_e1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ugturkbert_e1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.3 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/UgTurkBERT_e1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e2_en.md b/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e2_en.md
new file mode 100644
index 00000000000000..1cb2829bc16a32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ugturkbert_e2 BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: ugturkbert_e2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ugturkbert_e2` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ugturkbert_e2_en_5.1.1_3.0_1694552141789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ugturkbert_e2_en_5.1.1_3.0_1694552141789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ugturkbert_e2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ugturkbert_e2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ugturkbert_e2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.2 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/UgTurkBERT_e2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e3_en.md b/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e3_en.md
new file mode 100644
index 00000000000000..5d30aadeabb4c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-ugturkbert_e3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ugturkbert_e3 BertEmbeddings from TurkLangsTeamURFU
+author: John Snow Labs
+name: ugturkbert_e3
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ugturkbert_e3` is a English model originally trained by TurkLangsTeamURFU.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ugturkbert_e3_en_5.1.1_3.0_1694552327758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ugturkbert_e3_en_5.1.1_3.0_1694552327758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ugturkbert_e3","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ugturkbert_e3", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ugturkbert_e3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|494.1 MB|
+
+## References
+
+https://huggingface.co/TurkLangsTeamURFU/UgTurkBERT_e3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-12-xbert2_en.md b/docs/_posts/ahmedlone127/2023-09-12-xbert2_en.md
new file mode 100644
index 00000000000000..4f76afc566c76a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-12-xbert2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English xbert2 BertEmbeddings from tmc
+author: John Snow Labs
+name: xbert2
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`xbert2` is a English model originally trained by tmc.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xbert2_en_5.1.1_3.0_1694551885455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xbert2_en_5.1.1_3.0_1694551885455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("xbert2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("xbert2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xbert2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tmc/xbert2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-absa_mlm_1_en.md b/docs/_posts/ahmedlone127/2023-09-13-absa_mlm_1_en.md
new file mode 100644
index 00000000000000..d0577d6f17857a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-absa_mlm_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English absa_mlm_1 BertEmbeddings from UchihaMadara
+author: John Snow Labs
+name: absa_mlm_1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`absa_mlm_1` is a English model originally trained by UchihaMadara.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absa_mlm_1_en_5.1.1_3.0_1694579162814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absa_mlm_1_en_5.1.1_3.0_1694579162814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("absa_mlm_1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("absa_mlm_1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_mlm_1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/UchihaMadara/absa-mlm-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-adrbert_base_p1_en.md b/docs/_posts/ahmedlone127/2023-09-13-adrbert_base_p1_en.md
new file mode 100644
index 00000000000000..0caa21b7ce0587
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-adrbert_base_p1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English adrbert_base_p1 BertEmbeddings from adriansyahdr
+author: John Snow Labs
+name: adrbert_base_p1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`adrbert_base_p1` is a English model originally trained by adriansyahdr.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adrbert_base_p1_en_5.1.1_3.0_1694576788237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adrbert_base_p1_en_5.1.1_3.0_1694576788237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("adrbert_base_p1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("adrbert_base_p1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adrbert_base_p1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|470.1 MB|
+
+## References
+
+https://huggingface.co/adriansyahdr/adrBert-base-p1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-alberti_bert_base_multilingual_cased_linhd_postdata_xx.md b/docs/_posts/ahmedlone127/2023-09-13-alberti_bert_base_multilingual_cased_linhd_postdata_xx.md
new file mode 100644
index 00000000000000..b1f4da96e304e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-alberti_bert_base_multilingual_cased_linhd_postdata_xx.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Multilingual alberti_bert_base_multilingual_cased_linhd_postdata BertEmbeddings from linhd-postdata
+author: John Snow Labs
+name: alberti_bert_base_multilingual_cased_linhd_postdata
+date: 2023-09-13
+tags: [bert, xx, open_source, fill_mask, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.1.1
+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.`alberti_bert_base_multilingual_cased_linhd_postdata` is a Multilingual model originally trained by linhd-postdata.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alberti_bert_base_multilingual_cased_linhd_postdata_xx_5.1.1_3.0_1694577289966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alberti_bert_base_multilingual_cased_linhd_postdata_xx_5.1.1_3.0_1694577289966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("alberti_bert_base_multilingual_cased_linhd_postdata","xx") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("alberti_bert_base_multilingual_cased_linhd_postdata", "xx")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alberti_bert_base_multilingual_cased_linhd_postdata|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/linhd-postdata/alberti-bert-base-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-algarlegal_base_arabertv2_en.md b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_base_arabertv2_en.md
new file mode 100644
index 00000000000000..46c5273fbbb754
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_base_arabertv2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English algarlegal_base_arabertv2 BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: algarlegal_base_arabertv2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`algarlegal_base_arabertv2` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/algarlegal_base_arabertv2_en_5.1.1_3.0_1694566807785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/algarlegal_base_arabertv2_en_5.1.1_3.0_1694566807785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("algarlegal_base_arabertv2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("algarlegal_base_arabertv2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|algarlegal_base_arabertv2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|504.8 MB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AlgArLegal-base-arabertv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-algarlegal_large_arabertv2_en.md b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_large_arabertv2_en.md
new file mode 100644
index 00000000000000..470ed97e8f00d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_large_arabertv2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English algarlegal_large_arabertv2 BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: algarlegal_large_arabertv2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`algarlegal_large_arabertv2` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/algarlegal_large_arabertv2_en_5.1.1_3.0_1694566592236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/algarlegal_large_arabertv2_en_5.1.1_3.0_1694566592236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("algarlegal_large_arabertv2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("algarlegal_large_arabertv2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|algarlegal_large_arabertv2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AlgArLegal-large-arabertv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-algarlegal_nonumber_base_arabertv2_en.md b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_nonumber_base_arabertv2_en.md
new file mode 100644
index 00000000000000..0ed7d52a89de75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_nonumber_base_arabertv2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English algarlegal_nonumber_base_arabertv2 BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: algarlegal_nonumber_base_arabertv2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`algarlegal_nonumber_base_arabertv2` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/algarlegal_nonumber_base_arabertv2_en_5.1.1_3.0_1694567513179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/algarlegal_nonumber_base_arabertv2_en_5.1.1_3.0_1694567513179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("algarlegal_nonumber_base_arabertv2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("algarlegal_nonumber_base_arabertv2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|algarlegal_nonumber_base_arabertv2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|504.8 MB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AlgArLegal-Nonumber-base-arabertv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-algarlegal_nonumber_large_arabertv2_en.md b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_nonumber_large_arabertv2_en.md
new file mode 100644
index 00000000000000..1f5104e2a5d6ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-algarlegal_nonumber_large_arabertv2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English algarlegal_nonumber_large_arabertv2 BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: algarlegal_nonumber_large_arabertv2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`algarlegal_nonumber_large_arabertv2` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/algarlegal_nonumber_large_arabertv2_en_5.1.1_3.0_1694567316136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/algarlegal_nonumber_large_arabertv2_en_5.1.1_3.0_1694567316136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("algarlegal_nonumber_large_arabertv2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("algarlegal_nonumber_large_arabertv2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|algarlegal_nonumber_large_arabertv2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/AlgArLegal-Nonumber-large-arabertv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-applicanttrackingsystembert_en.md b/docs/_posts/ahmedlone127/2023-09-13-applicanttrackingsystembert_en.md
new file mode 100644
index 00000000000000..7eb98f7748696d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-applicanttrackingsystembert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English applicanttrackingsystembert BertEmbeddings from Shushant
+author: John Snow Labs
+name: applicanttrackingsystembert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`applicanttrackingsystembert` is a English model originally trained by Shushant.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/applicanttrackingsystembert_en_5.1.1_3.0_1694574178617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/applicanttrackingsystembert_en_5.1.1_3.0_1694574178617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("applicanttrackingsystembert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("applicanttrackingsystembert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|applicanttrackingsystembert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/Shushant/ApplicantTrackingSystemBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-ara_dialectbert_ar.md b/docs/_posts/ahmedlone127/2023-09-13-ara_dialectbert_ar.md
new file mode 100644
index 00000000000000..4826748be7afc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-ara_dialectbert_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic ara_dialectbert BertEmbeddings from MutazYoune
+author: John Snow Labs
+name: ara_dialectbert
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`ara_dialectbert` is a Arabic model originally trained by MutazYoune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ara_dialectbert_ar_5.1.1_3.0_1694567913022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ara_dialectbert_ar_5.1.1_3.0_1694567913022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ara_dialectbert","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ara_dialectbert", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ara_dialectbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|406.3 MB|
+
+## References
+
+https://huggingface.co/MutazYoune/Ara_DialectBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-arbert_ar.md b/docs/_posts/ahmedlone127/2023-09-13-arbert_ar.md
new file mode 100644
index 00000000000000..e3174cd469c425
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-arbert_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic arbert BertEmbeddings from UBC-NLP
+author: John Snow Labs
+name: arbert
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`arbert` is a Arabic model originally trained by UBC-NLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arbert_ar_5.1.1_3.0_1694573787008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arbert_ar_5.1.1_3.0_1694573787008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("arbert","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("arbert", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|605.3 MB|
+
+## References
+
+https://huggingface.co/UBC-NLP/ARBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-archeobertje_en.md b/docs/_posts/ahmedlone127/2023-09-13-archeobertje_en.md
new file mode 100644
index 00000000000000..95c2c34d71ee75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-archeobertje_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English archeobertje BertEmbeddings from alexbrandsen
+author: John Snow Labs
+name: archeobertje
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`archeobertje` is a English model originally trained by alexbrandsen.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/archeobertje_en_5.1.1_3.0_1694578129084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/archeobertje_en_5.1.1_3.0_1694578129084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("archeobertje","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("archeobertje", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|archeobertje|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.5 MB|
+
+## References
+
+https://huggingface.co/alexbrandsen/ArcheoBERTje
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-author_identification_en.md b/docs/_posts/ahmedlone127/2023-09-13-author_identification_en.md
new file mode 100644
index 00000000000000..36ba5b6015a9f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-author_identification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English author_identification BertEmbeddings from Omar2027
+author: John Snow Labs
+name: author_identification
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`author_identification` is a English model originally trained by Omar2027.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/author_identification_en_5.1.1_3.0_1694569409752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/author_identification_en_5.1.1_3.0_1694569409752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("author_identification","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("author_identification", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|author_identification|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|505.1 MB|
+
+## References
+
+https://huggingface.co/Omar2027/Author_identification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bangla_bert_base_bn.md b/docs/_posts/ahmedlone127/2023-09-13-bangla_bert_base_bn.md
new file mode 100644
index 00000000000000..fa3ca966eae826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bangla_bert_base_bn.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Bengali bangla_bert_base BertEmbeddings from sagorsarker
+author: John Snow Labs
+name: bangla_bert_base
+date: 2023-09-13
+tags: [bert, bn, open_source, fill_mask, onnx]
+task: Embeddings
+language: bn
+edition: Spark NLP 5.1.1
+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.`bangla_bert_base` is a Bengali model originally trained by sagorsarker.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bangla_bert_base_bn_5.1.1_3.0_1694569397272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bangla_bert_base_bn_5.1.1_3.0_1694569397272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bangla_bert_base","bn") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bangla_bert_base", "bn")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bangla_bert_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|bn|
+|Size:|614.7 MB|
+
+## References
+
+https://huggingface.co/sagorsarker/bangla-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bangla_bert_bn.md b/docs/_posts/ahmedlone127/2023-09-13-bangla_bert_bn.md
new file mode 100644
index 00000000000000..33c51b5cdcf1ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bangla_bert_bn.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Bengali bangla_bert BertEmbeddings from Kowsher
+author: John Snow Labs
+name: bangla_bert
+date: 2023-09-13
+tags: [bert, bn, open_source, fill_mask, onnx]
+task: Embeddings
+language: bn
+edition: Spark NLP 5.1.1
+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.`bangla_bert` is a Bengali model originally trained by Kowsher.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bangla_bert_bn_5.1.1_3.0_1694564809999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bangla_bert_bn_5.1.1_3.0_1694564809999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bangla_bert","bn") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bangla_bert", "bn")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bangla_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|bn|
+|Size:|612.1 MB|
+
+## References
+
+https://huggingface.co/Kowsher/bangla-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-batterybert_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-batterybert_cased_en.md
new file mode 100644
index 00000000000000..5ffeec3a3bcb64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-batterybert_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English batterybert_cased BertEmbeddings from batterydata
+author: John Snow Labs
+name: batterybert_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`batterybert_cased` is a English model originally trained by batterydata.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/batterybert_cased_en_5.1.1_3.0_1694585277909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/batterybert_cased_en_5.1.1_3.0_1694585277909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("batterybert_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("batterybert_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|batterybert_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/batterydata/batterybert-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-batterybert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-batterybert_uncased_en.md
new file mode 100644
index 00000000000000..17256679f12a65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-batterybert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English batterybert_uncased BertEmbeddings from batterydata
+author: John Snow Labs
+name: batterybert_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`batterybert_uncased` is a English model originally trained by batterydata.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/batterybert_uncased_en_5.1.1_3.0_1694585447411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/batterybert_uncased_en_5.1.1_3.0_1694585447411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("batterybert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("batterybert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|batterybert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/batterydata/batterybert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bbc_gqa_eval_en.md b/docs/_posts/ahmedlone127/2023-09-13-bbc_gqa_eval_en.md
new file mode 100644
index 00000000000000..8be4e06e21cb70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bbc_gqa_eval_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bbc_gqa_eval BertEmbeddings from rjbownes
+author: John Snow Labs
+name: bbc_gqa_eval
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bbc_gqa_eval` is a English model originally trained by rjbownes.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bbc_gqa_eval_en_5.1.1_3.0_1694568579505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bbc_gqa_eval_en_5.1.1_3.0_1694568579505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bbc_gqa_eval","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bbc_gqa_eval", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bbc_gqa_eval|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/rjbownes/BBC-GQA-eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-beauty_base_klcp2_en.md b/docs/_posts/ahmedlone127/2023-09-13-beauty_base_klcp2_en.md
new file mode 100644
index 00000000000000..c9e768c152c595
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-beauty_base_klcp2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English beauty_base_klcp2 BertEmbeddings from Kyoungmin
+author: John Snow Labs
+name: beauty_base_klcp2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`beauty_base_klcp2` is a English model originally trained by Kyoungmin.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beauty_base_klcp2_en_5.1.1_3.0_1694565176499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beauty_base_klcp2_en_5.1.1_3.0_1694565176499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("beauty_base_klcp2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("beauty_base_klcp2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beauty_base_klcp2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.2 MB|
+
+## References
+
+https://huggingface.co/Kyoungmin/beauty-base-KLCP2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-berel_sivan22_he.md b/docs/_posts/ahmedlone127/2023-09-13-berel_sivan22_he.md
new file mode 100644
index 00000000000000..5f965cde2c7c69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-berel_sivan22_he.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hebrew berel_sivan22 BertEmbeddings from sivan22
+author: John Snow Labs
+name: berel_sivan22
+date: 2023-09-13
+tags: [bert, he, open_source, fill_mask, onnx]
+task: Embeddings
+language: he
+edition: Spark NLP 5.1.1
+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.`berel_sivan22` is a Hebrew model originally trained by sivan22.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berel_sivan22_he_5.1.1_3.0_1694564843869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berel_sivan22_he_5.1.1_3.0_1694564843869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("berel_sivan22","he") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("berel_sivan22", "he")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berel_sivan22|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|he|
+|Size:|690.1 MB|
+
+## References
+
+https://huggingface.co/sivan22/BEREL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_120_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_120_en.md
new file mode 100644
index 00000000000000..3eef4b14c03791
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_120_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_120 BertEmbeddings from gokuls
+author: John Snow Labs
+name: bert_base_120
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_120` is a English model originally trained by gokuls.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_120_en_5.1.1_3.0_1694585728673.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_120_en_5.1.1_3.0_1694585728673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_120","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_120", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_120|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_base_120
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_24_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_24_en.md
new file mode 100644
index 00000000000000..2c9ff0193ede01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_24_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_24 BertEmbeddings from gokuls
+author: John Snow Labs
+name: bert_base_24
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_24` is a English model originally trained by gokuls.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_24_en_5.1.1_3.0_1694580140710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_24_en_5.1.1_3.0_1694580140710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_24","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_24", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_24|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_base_24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_48_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_48_en.md
new file mode 100644
index 00000000000000..90b6f1e13f7ff3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_48_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_48 BertEmbeddings from gokuls
+author: John Snow Labs
+name: bert_base_48
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_48` is a English model originally trained by gokuls.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_48_en_5.1.1_3.0_1694580489996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_48_en_5.1.1_3.0_1694580489996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_48","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_48", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_48|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_base_48
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_5lang_cased_xx.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_5lang_cased_xx.md
new file mode 100644
index 00000000000000..61728a0b5a0df5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_5lang_cased_xx.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Multilingual bert_base_5lang_cased BertEmbeddings from amine
+author: John Snow Labs
+name: bert_base_5lang_cased
+date: 2023-09-13
+tags: [bert, xx, open_source, fill_mask, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.1.1
+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_5lang_cased` is a Multilingual model originally trained by amine.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_5lang_cased_xx_5.1.1_3.0_1694579745976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_5lang_cased_xx_5.1.1_3.0_1694579745976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_5lang_cased","xx") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_5lang_cased", "xx")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_5lang_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|461.1 MB|
+
+## References
+
+https://huggingface.co/amine/bert-base-5lang-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_72_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_72_en.md
new file mode 100644
index 00000000000000..05ade8a445f4af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_72_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_72 BertEmbeddings from gokuls
+author: John Snow Labs
+name: bert_base_72
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_72` is a English model originally trained by gokuls.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_72_en_5.1.1_3.0_1694581572483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_72_en_5.1.1_3.0_1694581572483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_72","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_72", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_72|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_base_72
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_96_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_96_en.md
new file mode 100644
index 00000000000000..866e65f7f7d285
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_96_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_96 BertEmbeddings from gokuls
+author: John Snow Labs
+name: bert_base_96
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_96_en_5.1.1_3.0_1694581741068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_96_en_5.1.1_3.0_1694581741068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_96","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_96", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_96|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_base_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_arabertv02_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_arabertv02_ar.md
new file mode 100644
index 00000000000000..67d9bda6177435
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_arabertv02_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_base_arabertv02 BertEmbeddings from aubmindlab
+author: John Snow Labs
+name: bert_base_arabertv02
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_arabertv02` is a Arabic model originally trained by aubmindlab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_ar_5.1.1_3.0_1694583153678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_ar_5.1.1_3.0_1694583153678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_arabertv02","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_arabertv02", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabertv02|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|505.1 MB|
+
+## References
+
+https://huggingface.co/aubmindlab/bert-base-arabertv02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_arabertv02_twitter_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_arabertv02_twitter_ar.md
new file mode 100644
index 00000000000000..7b2ce7d378f205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_arabertv02_twitter_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_base_arabertv02_twitter BertEmbeddings from aubmindlab
+author: John Snow Labs
+name: bert_base_arabertv02_twitter
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_arabertv02_twitter` is a Arabic model originally trained by aubmindlab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_twitter_ar_5.1.1_3.0_1694583024700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_twitter_ar_5.1.1_3.0_1694583024700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_arabertv02_twitter","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_arabertv02_twitter", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabertv02_twitter|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|505.0 MB|
+
+## References
+
+https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_bert_yoga_finetuned_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_bert_yoga_finetuned_en.md
new file mode 100644
index 00000000000000..e9283fb3e215af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_bert_yoga_finetuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_bert_yoga_finetuned BertEmbeddings from dsantistevan
+author: John Snow Labs
+name: bert_base_cased_bert_yoga_finetuned
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_cased_bert_yoga_finetuned` is a English model originally trained by dsantistevan.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_bert_yoga_finetuned_en_5.1.1_3.0_1694566346146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_bert_yoga_finetuned_en_5.1.1_3.0_1694566346146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_cased_bert_yoga_finetuned","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_cased_bert_yoga_finetuned", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_bert_yoga_finetuned|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/dsantistevan/bert-base-cased-bert-yoga-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_finetuned_imdb_en.md
new file mode 100644
index 00000000000000..fbe7bb23bb5b01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_finetuned_imdb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_imdb BertEmbeddings from TimShieh
+author: John Snow Labs
+name: bert_base_cased_finetuned_imdb
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_cased_finetuned_imdb` is a English model originally trained by TimShieh.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_imdb_en_5.1.1_3.0_1694580692039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_imdb_en_5.1.1_3.0_1694580692039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_cased_finetuned_imdb","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_cased_finetuned_imdb", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_imdb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/TimShieh/bert-base-cased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_finetuned_semeval2017_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_finetuned_semeval2017_mlm_en.md
new file mode 100644
index 00000000000000..14698d2b675138
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_finetuned_semeval2017_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_semeval2017_mlm BertEmbeddings from TimShieh
+author: John Snow Labs
+name: bert_base_cased_finetuned_semeval2017_mlm
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_cased_finetuned_semeval2017_mlm` is a English model originally trained by TimShieh.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_semeval2017_mlm_en_5.1.1_3.0_1694580947575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_semeval2017_mlm_en_5.1.1_3.0_1694580947575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_cased_finetuned_semeval2017_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_cased_finetuned_semeval2017_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_semeval2017_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/TimShieh/bert-base-cased-finetuned-semeval2017-MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_portuguese_lenerbr_pt.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_portuguese_lenerbr_pt.md
new file mode 100644
index 00000000000000..8335847887a8d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_cased_portuguese_lenerbr_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bert_base_cased_portuguese_lenerbr BertEmbeddings from pierreguillou
+author: John Snow Labs
+name: bert_base_cased_portuguese_lenerbr
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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_cased_portuguese_lenerbr` is a Portuguese model originally trained by pierreguillou.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_portuguese_lenerbr_pt_5.1.1_3.0_1694563345437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_portuguese_lenerbr_pt_5.1.1_3.0_1694563345437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_cased_portuguese_lenerbr","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_cased_portuguese_lenerbr", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_portuguese_lenerbr|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/pierreguillou/bert-base-cased-pt-lenerbr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_dutch_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_dutch_cased_en.md
new file mode 100644
index 00000000000000..88af2281474189
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_dutch_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_dutch_cased BertEmbeddings from wietsedv
+author: John Snow Labs
+name: bert_base_dutch_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_dutch_cased` is a English model originally trained by wietsedv.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_en_5.1.1_3.0_1694583992022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_en_5.1.1_3.0_1694583992022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_dutch_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_dutch_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/wietsedv/bert-base-dutch-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_dutch_cased_finetuned_manx_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_dutch_cased_finetuned_manx_en.md
new file mode 100644
index 00000000000000..c1fd54a709286a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_dutch_cased_finetuned_manx_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_manx BertEmbeddings from Pyjay
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_manx
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_dutch_cased_finetuned_manx` is a English model originally trained by Pyjay.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_manx_en_5.1.1_3.0_1694569643622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_manx_en_5.1.1_3.0_1694569643622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_dutch_cased_finetuned_manx","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_dutch_cased_finetuned_manx", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_manx|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Pyjay/bert-base-dutch-cased-finetuned-gv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_finetuned_wellness_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_finetuned_wellness_en.md
new file mode 100644
index 00000000000000..c57a02843b5909
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_finetuned_wellness_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_finetuned_wellness BertEmbeddings from gaeunseo
+author: John Snow Labs
+name: bert_base_finetuned_wellness
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_finetuned_wellness` is a English model originally trained by gaeunseo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_wellness_en_5.1.1_3.0_1694583681541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_wellness_en_5.1.1_3.0_1694583681541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_finetuned_wellness","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_finetuned_wellness", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_wellness|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/gaeunseo/bert-base-finetuned-wellness
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_finnish_cased_v1_fi.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_finnish_cased_v1_fi.md
new file mode 100644
index 00000000000000..c3de96cbd33ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_finnish_cased_v1_fi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Finnish bert_base_finnish_cased_v1 BertEmbeddings from TurkuNLP
+author: John Snow Labs
+name: bert_base_finnish_cased_v1
+date: 2023-09-13
+tags: [bert, fi, open_source, fill_mask, onnx]
+task: Embeddings
+language: fi
+edition: Spark NLP 5.1.1
+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_finnish_cased_v1` is a Finnish model originally trained by TurkuNLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finnish_cased_v1_fi_5.1.1_3.0_1694573404619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finnish_cased_v1_fi_5.1.1_3.0_1694573404619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_finnish_cased_v1","fi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_finnish_cased_v1", "fi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finnish_cased_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|fi|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_finnish_uncased_v1_fi.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_finnish_uncased_v1_fi.md
new file mode 100644
index 00000000000000..902c15dd577caa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_finnish_uncased_v1_fi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Finnish bert_base_finnish_uncased_v1 BertEmbeddings from TurkuNLP
+author: John Snow Labs
+name: bert_base_finnish_uncased_v1
+date: 2023-09-13
+tags: [bert, fi, open_source, fill_mask, onnx]
+task: Embeddings
+language: fi
+edition: Spark NLP 5.1.1
+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_finnish_uncased_v1` is a Finnish model originally trained by TurkuNLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finnish_uncased_v1_fi_5.1.1_3.0_1694573578470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finnish_uncased_v1_fi_5.1.1_3.0_1694573578470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_finnish_uncased_v1","fi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_finnish_uncased_v1", "fi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finnish_uncased_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|fi|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_frozen_generics_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_frozen_generics_mlm_en.md
new file mode 100644
index 00000000000000..a619f0ecb1195a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_frozen_generics_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_frozen_generics_mlm BertEmbeddings from sello-ralethe
+author: John Snow Labs
+name: bert_base_frozen_generics_mlm
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_frozen_generics_mlm` is a English model originally trained by sello-ralethe.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_frozen_generics_mlm_en_5.1.1_3.0_1694572672553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_frozen_generics_mlm_en_5.1.1_3.0_1694572672553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_frozen_generics_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_frozen_generics_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_frozen_generics_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sello-ralethe/bert-base-frozen-generics-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_historical_german_kinyarwanda_cased_de.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_historical_german_kinyarwanda_cased_de.md
new file mode 100644
index 00000000000000..54c81fefde4399
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_historical_german_kinyarwanda_cased_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German bert_base_historical_german_kinyarwanda_cased BertEmbeddings from redewiedergabe
+author: John Snow Labs
+name: bert_base_historical_german_kinyarwanda_cased
+date: 2023-09-13
+tags: [bert, de, open_source, fill_mask, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.1.1
+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_historical_german_kinyarwanda_cased` is a German model originally trained by redewiedergabe.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_historical_german_kinyarwanda_cased_de_5.1.1_3.0_1694567053989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_historical_german_kinyarwanda_cased_de_5.1.1_3.0_1694567053989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_historical_german_kinyarwanda_cased","de") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_historical_german_kinyarwanda_cased", "de")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_historical_german_kinyarwanda_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/redewiedergabe/bert-base-historical-german-rw-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_italian_cased_osiria_it.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_italian_cased_osiria_it.md
new file mode 100644
index 00000000000000..d08ae6ea1fc640
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_italian_cased_osiria_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian bert_base_italian_cased_osiria BertEmbeddings from osiria
+author: John Snow Labs
+name: bert_base_italian_cased_osiria
+date: 2023-09-13
+tags: [bert, it, open_source, fill_mask, onnx]
+task: Embeddings
+language: it
+edition: Spark NLP 5.1.1
+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_italian_cased_osiria` is a Italian model originally trained by osiria.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_italian_cased_osiria_it_5.1.1_3.0_1694568086773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_italian_cased_osiria_it_5.1.1_3.0_1694568086773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_italian_cased_osiria","it") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_italian_cased_osiria", "it")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_italian_cased_osiria|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|it|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/osiria/bert-base-italian-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_macedonian_bulgarian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_macedonian_bulgarian_cased_en.md
new file mode 100644
index 00000000000000..87202748969a34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_macedonian_bulgarian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_macedonian_bulgarian_cased BertEmbeddings from anon-submission-mk
+author: John Snow Labs
+name: bert_base_macedonian_bulgarian_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_macedonian_bulgarian_cased` is a English model originally trained by anon-submission-mk.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_macedonian_bulgarian_cased_en_5.1.1_3.0_1694580092524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_macedonian_bulgarian_cased_en_5.1.1_3.0_1694580092524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_macedonian_bulgarian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_macedonian_bulgarian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_macedonian_bulgarian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/anon-submission-mk/bert-base-macedonian-bulgarian-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_macedonian_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_macedonian_cased_en.md
new file mode 100644
index 00000000000000..915665f614518f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_macedonian_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_macedonian_cased BertEmbeddings from anon-submission-mk
+author: John Snow Labs
+name: bert_base_macedonian_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_macedonian_cased` is a English model originally trained by anon-submission-mk.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_macedonian_cased_en_5.1.1_3.0_1694580230869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_macedonian_cased_en_5.1.1_3.0_1694580230869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_macedonian_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_macedonian_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_macedonian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-13-bert_base_nli_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_nli_en.md
new file mode 100644
index 00000000000000..ee2fc4b398a3b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_nli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_nli BertEmbeddings from binwang
+author: John Snow Labs
+name: bert_base_nli
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_nli` is a English model originally trained by binwang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_nli_en_5.1.1_3.0_1694587924757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_nli_en_5.1.1_3.0_1694587924757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_nli","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_nli", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_nli|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/binwang/bert-base-nli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_nli_stsb_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_nli_stsb_en.md
new file mode 100644
index 00000000000000..10976f99b7af41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_nli_stsb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_nli_stsb BertEmbeddings from binwang
+author: John Snow Labs
+name: bert_base_nli_stsb
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_nli_stsb` is a English model originally trained by binwang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_nli_stsb_en_5.1.1_3.0_1694587761118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_nli_stsb_en_5.1.1_3.0_1694587761118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_nli_stsb","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_nli_stsb", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_nli_stsb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-13-bert_base_persian_sport_bert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_persian_sport_bert_uncased_en.md
new file mode 100644
index 00000000000000..25f4faa459ab63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_persian_sport_bert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_persian_sport_bert_uncased BertEmbeddings from montazeri
+author: John Snow Labs
+name: bert_base_persian_sport_bert_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_persian_sport_bert_uncased` is a English model originally trained by montazeri.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_persian_sport_bert_uncased_en_5.1.1_3.0_1694564033173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_persian_sport_bert_uncased_en_5.1.1_3.0_1694564033173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_persian_sport_bert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_persian_sport_bert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_persian_sport_bert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.0 MB|
+
+## References
+
+https://huggingface.co/montazeri/bert-base-persian-sport-bert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_portuguese_cased_finetuned_peticoes_pt.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_portuguese_cased_finetuned_peticoes_pt.md
new file mode 100644
index 00000000000000..d641307dc0233e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_portuguese_cased_finetuned_peticoes_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bert_base_portuguese_cased_finetuned_peticoes BertEmbeddings from Luciano
+author: John Snow Labs
+name: bert_base_portuguese_cased_finetuned_peticoes
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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_portuguese_cased_finetuned_peticoes` is a Portuguese model originally trained by Luciano.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_finetuned_peticoes_pt_5.1.1_3.0_1694566319648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_finetuned_peticoes_pt_5.1.1_3.0_1694566319648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_portuguese_cased_finetuned_peticoes","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_portuguese_cased_finetuned_peticoes", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_finetuned_peticoes|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Luciano/bert-base-portuguese-cased-finetuned-peticoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_1790k_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_1790k_ar.md
new file mode 100644
index 00000000000000..12aa435d15dd47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_1790k_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_base_qarib60_1790k BertEmbeddings from qarib
+author: John Snow Labs
+name: bert_base_qarib60_1790k
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_qarib60_1790k` is a Arabic model originally trained by qarib.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_qarib60_1790k_ar_5.1.1_3.0_1694565184223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_qarib60_1790k_ar_5.1.1_3.0_1694565184223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_qarib60_1790k","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_qarib60_1790k", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_qarib60_1790k|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/qarib/bert-base-qarib60_1790k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_1970k_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_1970k_ar.md
new file mode 100644
index 00000000000000..c10604c566e8e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_1970k_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_base_qarib60_1970k BertEmbeddings from qarib
+author: John Snow Labs
+name: bert_base_qarib60_1970k
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_qarib60_1970k` is a Arabic model originally trained by qarib.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_qarib60_1970k_ar_5.1.1_3.0_1694565365666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_qarib60_1970k_ar_5.1.1_3.0_1694565365666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_qarib60_1970k","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_qarib60_1970k", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_qarib60_1970k|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/qarib/bert-base-qarib60_1970k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_860k_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_860k_ar.md
new file mode 100644
index 00000000000000..d2ee1a6aae964d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib60_860k_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_base_qarib60_860k BertEmbeddings from qarib
+author: John Snow Labs
+name: bert_base_qarib60_860k
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_qarib60_860k` is a Arabic model originally trained by qarib.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_qarib60_860k_ar_5.1.1_3.0_1694565528171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_qarib60_860k_ar_5.1.1_3.0_1694565528171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_qarib60_860k","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_qarib60_860k", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_qarib60_860k|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/qarib/bert-base-qarib60_860k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib_ar.md
new file mode 100644
index 00000000000000..0692ef43688be0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_qarib_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_base_qarib BertEmbeddings from qarib
+author: John Snow Labs
+name: bert_base_qarib
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_qarib` is a Arabic model originally trained by qarib.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_qarib_ar_5.1.1_3.0_1694565010110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_qarib_ar_5.1.1_3.0_1694565010110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_qarib","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_qarib", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_qarib|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.0 MB|
+
+## References
+
+https://huggingface.co/qarib/bert-base-qarib
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_spanish_wwm_cased_finetuned_literature_pro_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_spanish_wwm_cased_finetuned_literature_pro_en.md
new file mode 100644
index 00000000000000..0cc9b509d799fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_spanish_wwm_cased_finetuned_literature_pro_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_finetuned_literature_pro BertEmbeddings from a-v-bely
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_finetuned_literature_pro
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_spanish_wwm_cased_finetuned_literature_pro` is a English model originally trained by a-v-bely.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_literature_pro_en_5.1.1_3.0_1694586382623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_literature_pro_en_5.1.1_3.0_1694586382623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_spanish_wwm_cased_finetuned_literature_pro","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_spanish_wwm_cased_finetuned_literature_pro", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_finetuned_literature_pro|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-13-bert_base_standard_bahasa_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_standard_bahasa_cased_en.md
new file mode 100644
index 00000000000000..9429486248ee7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_standard_bahasa_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_standard_bahasa_cased BertEmbeddings from mesolitica
+author: John Snow Labs
+name: bert_base_standard_bahasa_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_standard_bahasa_cased` is a English model originally trained by mesolitica.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_standard_bahasa_cased_en_5.1.1_3.0_1694586245028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_standard_bahasa_cased_en_5.1.1_3.0_1694586245028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_standard_bahasa_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_standard_bahasa_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_standard_bahasa_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/mesolitica/bert-base-standard-bahasa-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_swedish_cased_kblab_sv.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_swedish_cased_kblab_sv.md
new file mode 100644
index 00000000000000..b4368b621b30b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_swedish_cased_kblab_sv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Swedish bert_base_swedish_cased_kblab BertEmbeddings from KBLab
+author: John Snow Labs
+name: bert_base_swedish_cased_kblab
+date: 2023-09-13
+tags: [bert, sv, open_source, fill_mask, onnx]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.1.1
+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_swedish_cased_kblab` is a Swedish model originally trained by KBLab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_swedish_cased_kblab_sv_5.1.1_3.0_1694563899305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_swedish_cased_kblab_sv_5.1.1_3.0_1694563899305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_swedish_cased_kblab","sv") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_swedish_cased_kblab", "sv")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_swedish_cased_kblab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|sv|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/KBLab/bert-base-swedish-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_1_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_1_en.md
new file mode 100644
index 00000000000000..5c6c6bdf288220
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_2022_habana_test_1 BertEmbeddings from philschmid
+author: John Snow Labs
+name: bert_base_uncased_2022_habana_test_1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_2022_habana_test_1` is a English model originally trained by philschmid.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_1_en_5.1.1_3.0_1694566037618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_1_en_5.1.1_3.0_1694566037618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_2022_habana_test_1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_2022_habana_test_1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_2022_habana_test_1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_2_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_2_en.md
new file mode 100644
index 00000000000000..3cd591e38fdee4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_2022_habana_test_2 BertEmbeddings from philschmid
+author: John Snow Labs
+name: bert_base_uncased_2022_habana_test_2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_2022_habana_test_2` is a English model originally trained by philschmid.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_2_en_5.1.1_3.0_1694569462383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_2_en_5.1.1_3.0_1694569462383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_2022_habana_test_2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_2022_habana_test_2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_2022_habana_test_2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_3_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_3_en.md
new file mode 100644
index 00000000000000..218d2f78c5da77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_2022_habana_test_3 BertEmbeddings from philschmid
+author: John Snow Labs
+name: bert_base_uncased_2022_habana_test_3
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_2022_habana_test_3` is a English model originally trained by philschmid.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_3_en_5.1.1_3.0_1694569751143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_3_en_5.1.1_3.0_1694569751143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_2022_habana_test_3","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_2022_habana_test_3", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_2022_habana_test_3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_4_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_4_en.md
new file mode 100644
index 00000000000000..e5f8c8ef0bcff7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_2022_habana_test_4 BertEmbeddings from philschmid
+author: John Snow Labs
+name: bert_base_uncased_2022_habana_test_4
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_2022_habana_test_4` is a English model originally trained by philschmid.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_4_en_5.1.1_3.0_1694572974212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_4_en_5.1.1_3.0_1694572974212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_2022_habana_test_4","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_2022_habana_test_4", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_2022_habana_test_4|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_5_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_5_en.md
new file mode 100644
index 00000000000000..4a619767e6925b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_2022_habana_test_5 BertEmbeddings from philschmid
+author: John Snow Labs
+name: bert_base_uncased_2022_habana_test_5
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_2022_habana_test_5` is a English model originally trained by philschmid.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_5_en_5.1.1_3.0_1694574203077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_5_en_5.1.1_3.0_1694574203077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_2022_habana_test_5","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_2022_habana_test_5", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_2022_habana_test_5|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_6_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_6_en.md
new file mode 100644
index 00000000000000..1e515cfb8302f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_2022_habana_test_6_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_2022_habana_test_6 BertEmbeddings from philschmid
+author: John Snow Labs
+name: bert_base_uncased_2022_habana_test_6
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_2022_habana_test_6` is a English model originally trained by philschmid.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_6_en_5.1.1_3.0_1694574566491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_2022_habana_test_6_en_5.1.1_3.0_1694574566491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_2022_habana_test_6","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_2022_habana_test_6", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_2022_habana_test_6|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_bert_mask_complete_word_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_bert_mask_complete_word_en.md
new file mode 100644
index 00000000000000..02279fa9c971ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_bert_mask_complete_word_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_bert_mask_complete_word BertEmbeddings from keshavG
+author: John Snow Labs
+name: bert_base_uncased_bert_mask_complete_word
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_bert_mask_complete_word` is a English model originally trained by keshavG.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_bert_mask_complete_word_en_5.1.1_3.0_1694578511284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_bert_mask_complete_word_en_5.1.1_3.0_1694578511284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_bert_mask_complete_word","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_bert_mask_complete_word", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_bert_mask_complete_word|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/keshavG/bert-base-uncased-bert_mask_complete_word
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_bert_mask_complete_word_updated_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_bert_mask_complete_word_updated_vocab_en.md
new file mode 100644
index 00000000000000..c5125a4ea23f0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_bert_mask_complete_word_updated_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_bert_mask_complete_word_updated_vocab BertEmbeddings from keshavG
+author: John Snow Labs
+name: bert_base_uncased_bert_mask_complete_word_updated_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_bert_mask_complete_word_updated_vocab` is a English model originally trained by keshavG.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_bert_mask_complete_word_updated_vocab_en_5.1.1_3.0_1694585644846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_bert_mask_complete_word_updated_vocab_en_5.1.1_3.0_1694585644846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_bert_mask_complete_word_updated_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_bert_mask_complete_word_updated_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_bert_mask_complete_word_updated_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|413.5 MB|
+
+## References
+
+https://huggingface.co/keshavG/bert-base-uncased-bert_mask_complete_word_updated_vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_binwang_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_binwang_en.md
new file mode 100644
index 00000000000000..4a2802f534a14f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_binwang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_binwang BertEmbeddings from binwang
+author: John Snow Labs
+name: bert_base_uncased_binwang
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_binwang` is a English model originally trained by binwang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_binwang_en_5.1.1_3.0_1694588138775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_binwang_en_5.1.1_3.0_1694588138775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_binwang","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_binwang", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_binwang|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/binwang/bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_contents_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_contents_en.md
new file mode 100644
index 00000000000000..134c377b26fe41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_contents_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_contents BertEmbeddings from Contents
+author: John Snow Labs
+name: bert_base_uncased_contents
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_contents` is a English model originally trained by Contents.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_contents_en_5.1.1_3.0_1694579787819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_contents_en_5.1.1_3.0_1694579787819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_contents","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_contents", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_contents|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Contents/bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_dstc9_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_dstc9_en.md
new file mode 100644
index 00000000000000..5aa5e23b4e62f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_dstc9_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_dstc9 BertEmbeddings from wilsontam
+author: John Snow Labs
+name: bert_base_uncased_dstc9
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_dstc9` is a English model originally trained by wilsontam.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dstc9_en_5.1.1_3.0_1694585476644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dstc9_en_5.1.1_3.0_1694585476644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_dstc9","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_dstc9", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_dstc9|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/wilsontam/bert-base-uncased-dstc9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_bertbero_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_bertbero_en.md
new file mode 100644
index 00000000000000..a51fd851d73000
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_bertbero_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_bertbero BertEmbeddings from Transabrar
+author: John Snow Labs
+name: bert_base_uncased_finetuned_bertbero
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_bertbero` is a English model originally trained by Transabrar.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_bertbero_en_5.1.1_3.0_1694572476667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_bertbero_en_5.1.1_3.0_1694572476667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_finetuned_bertbero","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_finetuned_bertbero", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_bertbero|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Transabrar/bert-base-uncased-finetuned-bertbero
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_gap_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_gap_en.md
new file mode 100644
index 00000000000000..ba346fe26b01d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_gap_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_gap BertEmbeddings from AriyanH
+author: John Snow Labs
+name: bert_base_uncased_finetuned_gap
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_gap` is a English model originally trained by AriyanH.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_gap_en_5.1.1_3.0_1694571134435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_gap_en_5.1.1_3.0_1694571134435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_finetuned_gap","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_finetuned_gap", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_gap|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/AriyanH/bert-base-uncased-finetuned-gap
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_rramicus_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_rramicus_en.md
new file mode 100644
index 00000000000000..55876135fdce1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuned_rramicus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rramicus BertEmbeddings from repro-rights-amicus-briefs
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rramicus
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_rramicus` is a English model originally trained by repro-rights-amicus-briefs.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rramicus_en_5.1.1_3.0_1694567579152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rramicus_en_5.1.1_3.0_1694567579152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_finetuned_rramicus","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_finetuned_rramicus", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rramicus|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/repro-rights-amicus-briefs/bert-base-uncased-finetuned-RRamicus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuning_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuning_en.md
new file mode 100644
index 00000000000000..cedd2b66153091
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_finetuning_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuning BertEmbeddings from shimu
+author: John Snow Labs
+name: bert_base_uncased_finetuning
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_finetuning` is a English model originally trained by shimu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuning_en_5.1.1_3.0_1694573972903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuning_en_5.1.1_3.0_1694573972903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_finetuning","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_finetuning", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuning|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/shimu/bert_base_uncased_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_chrispfield_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_chrispfield_en.md
new file mode 100644
index 00000000000000..31f2b3f3ae9c6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_chrispfield_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_chrispfield BertEmbeddings from Chrispfield
+author: John Snow Labs
+name: bert_base_uncased_issues_128_chrispfield
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_chrispfield` is a English model originally trained by Chrispfield.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_chrispfield_en_5.1.1_3.0_1694567399706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_chrispfield_en_5.1.1_3.0_1694567399706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_chrispfield","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_chrispfield", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_chrispfield|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Chrispfield/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_issues_128_kiri1701_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_issues_128_kiri1701_en.md
new file mode 100644
index 00000000000000..07ee9e81042a40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_issues_128_kiri1701_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_issues_128_kiri1701 BertEmbeddings from kiri1701
+author: John Snow Labs
+name: bert_base_uncased_issues_128_issues_128_kiri1701
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_issues_128_kiri1701` is a English model originally trained by kiri1701.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_issues_128_kiri1701_en_5.1.1_3.0_1694564477310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_issues_128_kiri1701_en_5.1.1_3.0_1694564477310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_issues_128_kiri1701","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_issues_128_kiri1701", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_issues_128_kiri1701|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/kiri1701/bert-base-uncased-issues-128-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_munsu_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_munsu_en.md
new file mode 100644
index 00000000000000..e1ad51b8371472
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_munsu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_munsu BertEmbeddings from MunSu
+author: John Snow Labs
+name: bert_base_uncased_issues_128_munsu
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_munsu` is a English model originally trained by MunSu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_munsu_en_5.1.1_3.0_1694586892919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_munsu_en_5.1.1_3.0_1694586892919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_munsu","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_munsu", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_munsu|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/MunSu/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_twidfeel_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_twidfeel_en.md
new file mode 100644
index 00000000000000..82bd79398682ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_issues_128_twidfeel_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_twidfeel BertEmbeddings from twidfeel
+author: John Snow Labs
+name: bert_base_uncased_issues_128_twidfeel
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_twidfeel` is a English model originally trained by twidfeel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_twidfeel_en_5.1.1_3.0_1694586346305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_twidfeel_en_5.1.1_3.0_1694586346305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_issues_128_twidfeel","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_issues_128_twidfeel", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_twidfeel|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/twidfeel/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_lm_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_lm_en.md
new file mode 100644
index 00000000000000..5a7ec6224cf0d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_lm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_lm BertEmbeddings from iewaij
+author: John Snow Labs
+name: bert_base_uncased_lm
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_lm` is a English model originally trained by iewaij.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_lm_en_5.1.1_3.0_1694578212936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_lm_en_5.1.1_3.0_1694578212936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_lm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_lm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_lm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/iewaij/bert-base-uncased-lm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine_en.md
new file mode 100644
index 00000000000000..ab77562c3516e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine BertEmbeddings from spacemanidol
+author: John Snow Labs
+name: bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine` is a English model originally trained by spacemanidol.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine_en_5.1.1_3.0_1694578896728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine_en_5.1.1_3.0_1694578896728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_noisy_orcas_1.0positive_0.5_negative_margin1.0_cosine|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/spacemanidol/bert-base-uncased-noisy-orcas-1.0positive-0.5-negative-margin1.0-cosine
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_reviews_2_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_reviews_2_en.md
new file mode 100644
index 00000000000000..080d928ea56603
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_reviews_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_reviews_2 BertEmbeddings from insaf
+author: John Snow Labs
+name: bert_base_uncased_reviews_2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_reviews_2` is a English model originally trained by insaf.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_reviews_2_en_5.1.1_3.0_1694580821822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_reviews_2_en_5.1.1_3.0_1694580821822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_reviews_2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_reviews_2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_reviews_2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/insaf/bert-base-uncased-reviews-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_reviews_3_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_reviews_3_en.md
new file mode 100644
index 00000000000000..bdd2578e56df05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_reviews_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_reviews_3 BertEmbeddings from insaf
+author: John Snow Labs
+name: bert_base_uncased_reviews_3
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_reviews_3` is a English model originally trained by insaf.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_reviews_3_en_5.1.1_3.0_1694581488679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_reviews_3_en_5.1.1_3.0_1694581488679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_reviews_3","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_reviews_3", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_reviews_3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/insaf/bert-base-uncased-reviews-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_rotten_tomatoes_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_rotten_tomatoes_en.md
new file mode 100644
index 00000000000000..388ba75ecb9555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_rotten_tomatoes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_rotten_tomatoes BertEmbeddings from textattack
+author: John Snow Labs
+name: bert_base_uncased_rotten_tomatoes
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_rotten_tomatoes` is a English model originally trained by textattack.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rotten_tomatoes_en_5.1.1_3.0_1694577597481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rotten_tomatoes_en_5.1.1_3.0_1694577597481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_rotten_tomatoes","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_rotten_tomatoes", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rotten_tomatoes|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-rotten_tomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_test_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_test_en.md
new file mode 100644
index 00000000000000..a8382838dcce78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_uncased_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_test BertEmbeddings from Contents
+author: John Snow Labs
+name: bert_base_uncased_test
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_test` is a English model originally trained by Contents.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_test_en_5.1.1_3.0_1694584225340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_test_en_5.1.1_3.0_1694584225340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_uncased_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_uncased_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Contents/bert-base-uncased-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_base_vn_finetuned_portuguese_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_vn_finetuned_portuguese_en.md
new file mode 100644
index 00000000000000..f672f2eb5369a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_vn_finetuned_portuguese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_vn_finetuned_portuguese BertEmbeddings from dotansang
+author: John Snow Labs
+name: bert_base_vn_finetuned_portuguese
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_vn_finetuned_portuguese` is a English model originally trained by dotansang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_vn_finetuned_portuguese_en_5.1.1_3.0_1694582275769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_vn_finetuned_portuguese_en_5.1.1_3.0_1694582275769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_vn_finetuned_portuguese","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_vn_finetuned_portuguese", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_vn_finetuned_portuguese|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-13-bert_base_yc_recipe_30_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_base_yc_recipe_30_en.md
new file mode 100644
index 00000000000000..214621443f1dfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_base_yc_recipe_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_yc_recipe_30 BertEmbeddings from CennetOguz
+author: John Snow Labs
+name: bert_base_yc_recipe_30
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_yc_recipe_30` is a English model originally trained by CennetOguz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_yc_recipe_30_en_5.1.1_3.0_1694568535972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_yc_recipe_30_en_5.1.1_3.0_1694568535972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_yc_recipe_30","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_base_yc_recipe_30", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_yc_recipe_30|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/CennetOguz/bert_base_yc_recipe_30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_cn_wudi7758521521_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_cn_wudi7758521521_en.md
new file mode 100644
index 00000000000000..5761861a3274d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_cn_wudi7758521521_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_cn_wudi7758521521 BertEmbeddings from wudi7758521521
+author: John Snow Labs
+name: bert_cn_wudi7758521521
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_cn_wudi7758521521` is a English model originally trained by wudi7758521521.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cn_wudi7758521521_en_5.1.1_3.0_1694585808653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cn_wudi7758521521_en_5.1.1_3.0_1694585808653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_cn_wudi7758521521","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_cn_wudi7758521521", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cn_wudi7758521521|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/wudi7758521521/bert_cn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_concat_2_finetune_simcse_truncate_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_concat_2_finetune_simcse_truncate_en.md
new file mode 100644
index 00000000000000..7dfa950dce2240
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_concat_2_finetune_simcse_truncate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_concat_2_finetune_simcse_truncate BertEmbeddings from NasimB
+author: John Snow Labs
+name: bert_concat_2_finetune_simcse_truncate
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_concat_2_finetune_simcse_truncate` is a English model originally trained by NasimB.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_concat_2_finetune_simcse_truncate_en_5.1.1_3.0_1694588304153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_concat_2_finetune_simcse_truncate_en_5.1.1_3.0_1694588304153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_concat_2_finetune_simcse_truncate","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_concat_2_finetune_simcse_truncate", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_concat_2_finetune_simcse_truncate|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|399.9 MB|
+
+## References
+
+https://huggingface.co/NasimB/bert-concat-2-finetune-simcse-truncate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_concat_3_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_concat_3_en.md
new file mode 100644
index 00000000000000..84ec7e94261b5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_concat_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_concat_3 BertEmbeddings from NasimB
+author: John Snow Labs
+name: bert_concat_3
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_concat_3` is a English model originally trained by NasimB.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_concat_3_en_5.1.1_3.0_1694587599955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_concat_3_en_5.1.1_3.0_1694587599955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_concat_3","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_concat_3", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_concat_3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/NasimB/bert-concat-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_concat_3_finetune_simcse_truncate_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_concat_3_finetune_simcse_truncate_en.md
new file mode 100644
index 00000000000000..40ade906ae5fb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_concat_3_finetune_simcse_truncate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_concat_3_finetune_simcse_truncate BertEmbeddings from NasimB
+author: John Snow Labs
+name: bert_concat_3_finetune_simcse_truncate
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_concat_3_finetune_simcse_truncate` is a English model originally trained by NasimB.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_concat_3_finetune_simcse_truncate_en_5.1.1_3.0_1694588145224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_concat_3_finetune_simcse_truncate_en_5.1.1_3.0_1694588145224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_concat_3_finetune_simcse_truncate","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_concat_3_finetune_simcse_truncate", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_concat_3_finetune_simcse_truncate|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|401.0 MB|
+
+## References
+
+https://huggingface.co/NasimB/bert-concat-3-finetune-simcse-truncate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_csl_gold8k_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_csl_gold8k_en.md
new file mode 100644
index 00000000000000..453130fb2c2cb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_csl_gold8k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_csl_gold8k BertEmbeddings from subbareddyiiit
+author: John Snow Labs
+name: bert_csl_gold8k
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_csl_gold8k` is a English model originally trained by subbareddyiiit.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_csl_gold8k_en_5.1.1_3.0_1694575569274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_csl_gold8k_en_5.1.1_3.0_1694575569274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_csl_gold8k","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_csl_gold8k", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_csl_gold8k|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/subbareddyiiit/bert_csl_gold8k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_dk_laptop_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_dk_laptop_en.md
new file mode 100644
index 00000000000000..184b207184d8e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_dk_laptop_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_dk_laptop BertEmbeddings from activebus
+author: John Snow Labs
+name: bert_dk_laptop
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_dk_laptop` is a English model originally trained by activebus.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_dk_laptop_en_5.1.1_3.0_1694575473487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_dk_laptop_en_5.1.1_3.0_1694575473487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_dk_laptop","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_dk_laptop", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_dk_laptop|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|258.4 MB|
+
+## References
+
+https://huggingface.co/activebus/BERT-DK_laptop
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_embding_finetuned_spmlm_02_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_embding_finetuned_spmlm_02_en.md
new file mode 100644
index 00000000000000..6b2382812cd515
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_embding_finetuned_spmlm_02_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_embding_finetuned_spmlm_02 BertEmbeddings from ashwathjadhav23
+author: John Snow Labs
+name: bert_embding_finetuned_spmlm_02
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_embding_finetuned_spmlm_02` is a English model originally trained by ashwathjadhav23.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_embding_finetuned_spmlm_02_en_5.1.1_3.0_1694585695765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_embding_finetuned_spmlm_02_en_5.1.1_3.0_1694585695765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_embding_finetuned_spmlm_02","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_embding_finetuned_spmlm_02", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_embding_finetuned_spmlm_02|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/ashwathjadhav23/Bert_Embding_Finetuned_SpMLM_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_finetune_simcse_truncate_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_finetune_simcse_truncate_en.md
new file mode 100644
index 00000000000000..f911da42bcbdf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_finetune_simcse_truncate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetune_simcse_truncate BertEmbeddings from NasimB
+author: John Snow Labs
+name: bert_finetune_simcse_truncate
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_finetune_simcse_truncate` is a English model originally trained by NasimB.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetune_simcse_truncate_en_5.1.1_3.0_1694587925442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetune_simcse_truncate_en_5.1.1_3.0_1694587925442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_finetune_simcse_truncate","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_finetune_simcse_truncate", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetune_simcse_truncate|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/NasimB/bert-finetune-simcse-truncate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test1_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test1_en.md
new file mode 100644
index 00000000000000..22ee728365f6b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuning_test1 BertEmbeddings from bill
+author: John Snow Labs
+name: bert_finetuning_test1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_finetuning_test1` is a English model originally trained by bill.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test1_en_5.1.1_3.0_1694587604269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test1_en_5.1.1_3.0_1694587604269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_finetuning_test1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_finetuning_test1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/bill/bert_finetuning_test1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test_mine_result_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test_mine_result_en.md
new file mode 100644
index 00000000000000..5a4c08c126c555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test_mine_result_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuning_test_mine_result BertEmbeddings from Martinlabla
+author: John Snow Labs
+name: bert_finetuning_test_mine_result
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_finetuning_test_mine_result` is a English model originally trained by Martinlabla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_mine_result_en_5.1.1_3.0_1694567497197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_mine_result_en_5.1.1_3.0_1694567497197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_finetuning_test_mine_result","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_finetuning_test_mine_result", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_mine_result|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Martinlabla/bert_finetuning_test_mine_result
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test_xiejiafang_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test_xiejiafang_en.md
new file mode 100644
index 00000000000000..1def6ee443a447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_finetuning_test_xiejiafang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuning_test_xiejiafang BertEmbeddings from xiejiafang
+author: John Snow Labs
+name: bert_finetuning_test_xiejiafang
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_finetuning_test_xiejiafang` is a English model originally trained by xiejiafang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_xiejiafang_en_5.1.1_3.0_1694586563453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_xiejiafang_en_5.1.1_3.0_1694586563453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_finetuning_test_xiejiafang","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_finetuning_test_xiejiafang", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_xiejiafang|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/xiejiafang/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_hinglish_big_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_hinglish_big_en.md
new file mode 100644
index 00000000000000..9076731484a34a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_hinglish_big_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_hinglish_big BertEmbeddings from aditeyabaral
+author: John Snow Labs
+name: bert_hinglish_big
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_hinglish_big` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_hinglish_big_en_5.1.1_3.0_1694576522327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_hinglish_big_en_5.1.1_3.0_1694576522327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_hinglish_big","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_hinglish_big", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_hinglish_big|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|248.9 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/bert-hinglish-big
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_hinglish_small_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_hinglish_small_en.md
new file mode 100644
index 00000000000000..b6ca09020bdff6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_hinglish_small_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_hinglish_small BertEmbeddings from aditeyabaral
+author: John Snow Labs
+name: bert_hinglish_small
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_hinglish_small` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_hinglish_small_en_5.1.1_3.0_1694576634952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_hinglish_small_en_5.1.1_3.0_1694576634952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_hinglish_small","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_hinglish_small", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_hinglish_small|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|249.0 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/bert-hinglish-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_java_bfp_single_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_java_bfp_single_en.md
new file mode 100644
index 00000000000000..b4bb0eeb54081b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_java_bfp_single_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_java_bfp_single BertEmbeddings from up201806461
+author: John Snow Labs
+name: bert_java_bfp_single
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_java_bfp_single` is a English model originally trained by up201806461.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_java_bfp_single_en_5.1.1_3.0_1694578962374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_java_bfp_single_en_5.1.1_3.0_1694578962374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_java_bfp_single","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_java_bfp_single", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_java_bfp_single|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/up201806461/bert-java-bfp_single
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_arabertv2_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_arabertv2_ar.md
new file mode 100644
index 00000000000000..f11181a70680fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_arabertv2_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_large_arabertv2 BertEmbeddings from aubmindlab
+author: John Snow Labs
+name: bert_large_arabertv2
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_large_arabertv2` is a Arabic model originally trained by aubmindlab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_arabertv2_ar_5.1.1_3.0_1694584366192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_arabertv2_ar_5.1.1_3.0_1694584366192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_arabertv2","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_arabertv2", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_arabertv2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/aubmindlab/bert-large-arabertv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_cased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_cased_da_20_en.md
new file mode 100644
index 00000000000000..cf89ae83f44e9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_cased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_cased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_cased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_cased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_cased_da_20_en_5.1.1_3.0_1694564770508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_cased_da_20_en_5.1.1_3.0_1694564770508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_cased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_cased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_cased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-cased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_low20_1_cased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_low20_1_cased_da_20_en.md
new file mode 100644
index 00000000000000..742afa69b26391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_low20_1_cased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_low20_1_cased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_low20_1_cased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_low20_1_cased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_low20_1_cased_da_20_en_5.1.1_3.0_1694565382077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_low20_1_cased_da_20_en_5.1.1_3.0_1694565382077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_low20_1_cased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_low20_1_cased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_low20_1_cased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-low20-1-cased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_low20_cased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_low20_cased_da_20_en.md
new file mode 100644
index 00000000000000..5628db32798146
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_low20_cased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_low20_cased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_low20_cased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_low20_cased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_low20_cased_da_20_en_5.1.1_3.0_1694565075875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_low20_cased_da_20_en_5.1.1_3.0_1694565075875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_low20_cased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_low20_cased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_low20_cased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-low20-cased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_0_cased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_0_cased_da_20_en.md
new file mode 100644
index 00000000000000..bf2d0cdadfa73c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_0_cased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_lowr100_0_cased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_lowr100_0_cased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_lowr100_0_cased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr100_0_cased_da_20_en_5.1.1_3.0_1694566867523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr100_0_cased_da_20_en_5.1.1_3.0_1694566867523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_lowr100_0_cased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_lowr100_0_cased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_lowr100_0_cased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-lowR100-0-cased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_2_cased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_2_cased_da_20_en.md
new file mode 100644
index 00000000000000..9dc2a676cb3740
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_2_cased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_lowr100_2_cased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_lowr100_2_cased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_lowr100_2_cased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr100_2_cased_da_20_en_5.1.1_3.0_1694567487345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr100_2_cased_da_20_en_5.1.1_3.0_1694567487345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_lowr100_2_cased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_lowr100_2_cased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_lowr100_2_cased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-lowR100-2-cased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_3_cased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_3_cased_da_20_en.md
new file mode 100644
index 00000000000000..c5885ec396d33b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr100_3_cased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_lowr100_3_cased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_lowr100_3_cased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_lowr100_3_cased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr100_3_cased_da_20_en_5.1.1_3.0_1694568354875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr100_3_cased_da_20_en_5.1.1_3.0_1694568354875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_lowr100_3_cased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_lowr100_3_cased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_lowr100_3_cased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-lowR100-3-cased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr10_0_cased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr10_0_cased_da_20_en.md
new file mode 100644
index 00000000000000..6b434478dd0b6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_finetuned_lowr10_0_cased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_finetuned_lowr10_0_cased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_finetuned_lowr10_0_cased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_finetuned_lowr10_0_cased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr10_0_cased_da_20_en_5.1.1_3.0_1694566558054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_finetuned_lowr10_0_cased_da_20_en_5.1.1_3.0_1694566558054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_finetuned_lowr10_0_cased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_finetuned_lowr10_0_cased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_finetuned_lowr10_0_cased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-finetuned-lowR10-0-cased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_portuguese_lenerbr_pt.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_portuguese_lenerbr_pt.md
new file mode 100644
index 00000000000000..c79af0651c7296
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_portuguese_lenerbr_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bert_large_cased_portuguese_lenerbr BertEmbeddings from pierreguillou
+author: John Snow Labs
+name: bert_large_cased_portuguese_lenerbr
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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_large_cased_portuguese_lenerbr` is a Portuguese model originally trained by pierreguillou.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_portuguese_lenerbr_pt_5.1.1_3.0_1694563642184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_portuguese_lenerbr_pt_5.1.1_3.0_1694563642184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_portuguese_lenerbr","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_portuguese_lenerbr", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_portuguese_lenerbr|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-13-bert_large_cased_sigir_full_norwegian_label_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_full_norwegian_label_20_en.md
new file mode 100644
index 00000000000000..fc968c1493760b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_full_norwegian_label_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_full_norwegian_label_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_full_norwegian_label_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_full_norwegian_label_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_full_norwegian_label_20_en_5.1.1_3.0_1694571475257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_full_norwegian_label_20_en_5.1.1_3.0_1694571475257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_full_norwegian_label_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_full_norwegian_label_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_full_norwegian_label_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-full-no-label-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_lr100_0_cased_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_lr100_0_cased_20_en.md
new file mode 100644
index 00000000000000..2a6aeb41314249
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_lr100_0_cased_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_lr100_0_cased_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_lr100_0_cased_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_lr100_0_cased_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_lr100_0_cased_20_en_5.1.1_3.0_1694569625563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_lr100_0_cased_20_en_5.1.1_3.0_1694569625563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_lr100_0_cased_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_lr100_0_cased_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_lr100_0_cased_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-LR100-0-cased-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_lr100_1_cased_150_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_lr100_1_cased_150_en.md
new file mode 100644
index 00000000000000..6d946f77f19d95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_lr100_1_cased_150_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_lr100_1_cased_150 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_lr100_1_cased_150
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_lr100_1_cased_150` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_lr100_1_cased_150_en_5.1.1_3.0_1694569943900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_lr100_1_cased_150_en_5.1.1_3.0_1694569943900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_lr100_1_cased_150","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_lr100_1_cased_150", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_lr100_1_cased_150|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-LR100-1-cased-150
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_20_en.md
new file mode 100644
index 00000000000000..32011553115ddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_norwegian_label_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_norwegian_label_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_norwegian_label_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_norwegian_label_20_en_5.1.1_3.0_1694571918630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_norwegian_label_20_en_5.1.1_3.0_1694571918630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_norwegian_label_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_norwegian_label_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_norwegian_label_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-no-label-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30_en.md
new file mode 100644
index 00000000000000..ff2b3585327705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30_en_5.1.1_3.0_1694572892853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30_en_5.1.1_3.0_1694572892853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_norwegian_label_20_sigir_tune2nd_lr10_labelled_30|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-no-label-20-sigir-tune2nd-LR10-labelled-30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30_en.md
new file mode 100644
index 00000000000000..c8a51f528afb3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30_en_5.1.1_3.0_1694573387926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30_en_5.1.1_3.0_1694573387926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_norwegian_label_40_sigir_tune2nd_lr100_labelled_30|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-no-label-40-sigir-tune2nd-LR100-labelled-30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40_en.md
new file mode 100644
index 00000000000000..42baa44b0f5b1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40_en_5.1.1_3.0_1694575697199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40_en_5.1.1_3.0_1694575697199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr100_40|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR100-40
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0_en.md
new file mode 100644
index 00000000000000..8d51641eafa082
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0_en_5.1.1_3.0_1694587179778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0_en_5.1.1_3.0_1694587179778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_0|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-20-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1_en.md
new file mode 100644
index 00000000000000..63c70aa648c253
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1_en_5.1.1_3.0_1694587498641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1_en_5.1.1_3.0_1694587498641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_20_1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-20-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2_en.md
new file mode 100644
index 00000000000000..aa4440ab6b4e39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2_en_5.1.1_3.0_1694583363515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2_en_5.1.1_3.0_1694583363515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3_en.md
new file mode 100644
index 00000000000000..1f3705914e7257
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3_en_5.1.1_3.0_1694584252445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3_en_5.1.1_3.0_1694584252445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_40_3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-40-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20_en.md
new file mode 100644
index 00000000000000..10d26077bb674b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20_en_5.1.1_3.0_1694569334144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20_en_5.1.1_3.0_1694569334144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23_en.md
new file mode 100644
index 00000000000000..d6f9c2bf77517f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23_en_5.1.1_3.0_1694570314564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23_en_5.1.1_3.0_1694570314564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_23|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-23
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25_en.md
new file mode 100644
index 00000000000000..aaedbbe999655e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25_en_5.1.1_3.0_1694570981130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25_en_5.1.1_3.0_1694570981130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_fast_25|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-25
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12_en.md
new file mode 100644
index 00000000000000..49f1ac33dd7388
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12_en_5.1.1_3.0_1694574046482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12_en_5.1.1_3.0_1694574046482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_12|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13_en.md
new file mode 100644
index 00000000000000..56968d95fd37a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13_en_5.1.1_3.0_1694574358005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13_en_5.1.1_3.0_1694574358005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_13|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14_en.md
new file mode 100644
index 00000000000000..85029202afe2be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14_en_5.1.1_3.0_1694574703123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14_en_5.1.1_3.0_1694574703123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_14|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16_en.md
new file mode 100644
index 00000000000000..3c74ff9fe82398
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16_en_5.1.1_3.0_1694575328626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16_en_5.1.1_3.0_1694575328626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_16|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17_en.md
new file mode 100644
index 00000000000000..fbfc1cf4982f05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17_en_5.1.1_3.0_1694575626182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17_en_5.1.1_3.0_1694575626182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_17|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6_en.md
new file mode 100644
index 00000000000000..78a13e0d225837
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6_en_5.1.1_3.0_1694572150639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6_en_5.1.1_3.0_1694572150639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_6|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9_en.md
new file mode 100644
index 00000000000000..86b598b7a2c880
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9_en_5.1.1_3.0_1694573104931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9_en_5.1.1_3.0_1694573104931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr50_8_fast_9|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_en.md
new file mode 100644
index 00000000000000..11a6c25a169b43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_sigir_support_refute_norwegian_label_40 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_cased_sigir_support_refute_norwegian_label_40
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_cased_sigir_support_refute_norwegian_label_40` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_en_5.1.1_3.0_1694575070771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_sigir_support_refute_norwegian_label_40_en_5.1.1_3.0_1694575070771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_cased_sigir_support_refute_norwegian_label_40", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_sigir_support_refute_norwegian_label_40|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_contrastive_self_supervised_acl2020_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_contrastive_self_supervised_acl2020_en.md
new file mode 100644
index 00000000000000..09d9d0127b41ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_contrastive_self_supervised_acl2020_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_contrastive_self_supervised_acl2020 BertEmbeddings from sap-ai-research
+author: John Snow Labs
+name: bert_large_contrastive_self_supervised_acl2020
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_contrastive_self_supervised_acl2020` is a English model originally trained by sap-ai-research.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_contrastive_self_supervised_acl2020_en_5.1.1_3.0_1694571008191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_contrastive_self_supervised_acl2020_en_5.1.1_3.0_1694571008191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_contrastive_self_supervised_acl2020","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_contrastive_self_supervised_acl2020", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_contrastive_self_supervised_acl2020|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sap-ai-research/BERT-Large-Contrastive-Self-Supervised-ACL2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_swedish_nordic_pile_150_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_swedish_nordic_pile_150_en.md
new file mode 100644
index 00000000000000..ea5af26fb79536
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_swedish_nordic_pile_150_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_swedish_nordic_pile_150 BertEmbeddings from timpal0l
+author: John Snow Labs
+name: bert_large_swedish_nordic_pile_150
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_swedish_nordic_pile_150` is a English model originally trained by timpal0l.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_swedish_nordic_pile_150_en_5.1.1_3.0_1694579612852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_swedish_nordic_pile_150_en_5.1.1_3.0_1694579612852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_swedish_nordic_pile_150","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_swedish_nordic_pile_150", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_swedish_nordic_pile_150|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/timpal0l/bert_large_sv_nordic_pile_150
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_swedish_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_swedish_uncased_en.md
new file mode 100644
index 00000000000000..234d4adf88b1ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_swedish_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_swedish_uncased BertEmbeddings from af-ai-center
+author: John Snow Labs
+name: bert_large_swedish_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_swedish_uncased` is a English model originally trained by af-ai-center.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_swedish_uncased_en_5.1.1_3.0_1694577225450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_swedish_uncased_en_5.1.1_3.0_1694577225450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_swedish_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_swedish_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_swedish_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/af-ai-center/bert-large-swedish-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_uncased_finetuned_lowr100_4_uncased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_uncased_finetuned_lowr100_4_uncased_da_20_en.md
new file mode 100644
index 00000000000000..94d90204495b8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_uncased_finetuned_lowr100_4_uncased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_lowr100_4_uncased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_uncased_finetuned_lowr100_4_uncased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_finetuned_lowr100_4_uncased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_lowr100_4_uncased_da_20_en_5.1.1_3.0_1694568669304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_lowr100_4_uncased_da_20_en_5.1.1_3.0_1694568669304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_finetuned_lowr100_4_uncased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_finetuned_lowr100_4_uncased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_lowr100_4_uncased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-uncased-finetuned-lowR100-4-uncased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_uncased_finetuned_lowr100_5_uncased_da_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_uncased_finetuned_lowr100_5_uncased_da_20_en.md
new file mode 100644
index 00000000000000..290ff49ccce50e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_uncased_finetuned_lowr100_5_uncased_da_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_lowr100_5_uncased_da_20 BertEmbeddings from jojoUla
+author: John Snow Labs
+name: bert_large_uncased_finetuned_lowr100_5_uncased_da_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_uncased_finetuned_lowr100_5_uncased_da_20` is a English model originally trained by jojoUla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_lowr100_5_uncased_da_20_en_5.1.1_3.0_1694568976431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_lowr100_5_uncased_da_20_en_5.1.1_3.0_1694568976431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_uncased_finetuned_lowr100_5_uncased_da_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_uncased_finetuned_lowr100_5_uncased_da_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_lowr100_5_uncased_da_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jojoUla/bert-large-uncased-finetuned-lowR100-5-uncased-DA-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_large_yc_recipe_30_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_large_yc_recipe_30_en.md
new file mode 100644
index 00000000000000..4a7e7a1eef328a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_large_yc_recipe_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_yc_recipe_30 BertEmbeddings from CennetOguz
+author: John Snow Labs
+name: bert_large_yc_recipe_30
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_large_yc_recipe_30` is a English model originally trained by CennetOguz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_yc_recipe_30_en_5.1.1_3.0_1694568821432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_yc_recipe_30_en_5.1.1_3.0_1694568821432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_large_yc_recipe_30","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_large_yc_recipe_30", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_yc_recipe_30|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CennetOguz/bert_large_yc_recipe_30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_mini_arabic_ar.md b/docs/_posts/ahmedlone127/2023-09-13-bert_mini_arabic_ar.md
new file mode 100644
index 00000000000000..0754572efb6391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_mini_arabic_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic bert_mini_arabic BertEmbeddings from asafaya
+author: John Snow Labs
+name: bert_mini_arabic
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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_mini_arabic` is a Arabic model originally trained by asafaya.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_arabic_ar_5.1.1_3.0_1694582500015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_arabic_ar_5.1.1_3.0_1694582500015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_mini_arabic","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_mini_arabic", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_arabic|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|43.3 MB|
+
+## References
+
+https://huggingface.co/asafaya/bert-mini-arabic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_model_nyashavision22_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_model_nyashavision22_en.md
new file mode 100644
index 00000000000000..3c902faad2fe87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_model_nyashavision22_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_model_nyashavision22 BertEmbeddings from NyashaVision22
+author: John Snow Labs
+name: bert_model_nyashavision22
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_model_nyashavision22` is a English model originally trained by NyashaVision22.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_nyashavision22_en_5.1.1_3.0_1694576589229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_nyashavision22_en_5.1.1_3.0_1694576589229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_model_nyashavision22","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_model_nyashavision22", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_model_nyashavision22|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/NyashaVision22/bert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_nlp_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_nlp_en.md
new file mode 100644
index 00000000000000..39e3cba70f042e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_nlp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_nlp BertEmbeddings from subbareddyiiit
+author: John Snow Labs
+name: bert_nlp
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_nlp` is a English model originally trained by subbareddyiiit.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_nlp_en_5.1.1_3.0_1694575401616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_nlp_en_5.1.1_3.0_1694575401616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_nlp","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_nlp", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_nlp|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/subbareddyiiit/BERT-NLP
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_inf_corpus_v.1_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_inf_corpus_v.1_en.md
new file mode 100644
index 00000000000000..2ece59f5ffa5d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_inf_corpus_v.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_portuguese_inf_corpus_v.1 BertEmbeddings from ricardo-filho
+author: John Snow Labs
+name: bert_portuguese_inf_corpus_v.1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_portuguese_inf_corpus_v.1` is a English model originally trained by ricardo-filho.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_inf_corpus_v.1_en_5.1.1_3.0_1694568024545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_inf_corpus_v.1_en_5.1.1_3.0_1694568024545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_portuguese_inf_corpus_v.1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_portuguese_inf_corpus_v.1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_portuguese_inf_corpus_v.1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ricardo-filho/BERT-pt-inf-corpus-v.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_institutional_corpus_v.1_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_institutional_corpus_v.1_en.md
new file mode 100644
index 00000000000000..85eb5332731eeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_institutional_corpus_v.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_portuguese_institutional_corpus_v.1 BertEmbeddings from ricardo-filho
+author: John Snow Labs
+name: bert_portuguese_institutional_corpus_v.1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_portuguese_institutional_corpus_v.1` is a English model originally trained by ricardo-filho.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_institutional_corpus_v.1_en_5.1.1_3.0_1694568183725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_institutional_corpus_v.1_en_5.1.1_3.0_1694568183725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_portuguese_institutional_corpus_v.1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_portuguese_institutional_corpus_v.1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_portuguese_institutional_corpus_v.1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ricardo-filho/BERT-pt-institutional-corpus-v.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_institutional_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_institutional_en.md
new file mode 100644
index 00000000000000..7b1160dc5c975a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_portuguese_institutional_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_portuguese_institutional BertEmbeddings from ricardo-filho
+author: John Snow Labs
+name: bert_portuguese_institutional
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_portuguese_institutional` is a English model originally trained by ricardo-filho.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_institutional_en_5.1.1_3.0_1694568312532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_institutional_en_5.1.1_3.0_1694568312532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_portuguese_institutional","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_portuguese_institutional", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_portuguese_institutional|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ricardo-filho/BERT-pt-institutional
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_pt_laptop_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_pt_laptop_en.md
new file mode 100644
index 00000000000000..0d8598c932a835
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_pt_laptop_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_pt_laptop BertEmbeddings from activebus
+author: John Snow Labs
+name: bert_pt_laptop
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_pt_laptop` is a English model originally trained by activebus.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_pt_laptop_en_5.1.1_3.0_1694575945954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_pt_laptop_en_5.1.1_3.0_1694575945954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_pt_laptop","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_pt_laptop", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_pt_laptop|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|258.4 MB|
+
+## References
+
+https://huggingface.co/activebus/BERT-PT_laptop
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_pt_rest_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_pt_rest_en.md
new file mode 100644
index 00000000000000..e5a75c271c4afc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_pt_rest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_pt_rest BertEmbeddings from activebus
+author: John Snow Labs
+name: bert_pt_rest
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_pt_rest` is a English model originally trained by activebus.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_pt_rest_en_5.1.1_3.0_1694576170608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_pt_rest_en_5.1.1_3.0_1694576170608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_pt_rest","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_pt_rest", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_pt_rest|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|258.4 MB|
+
+## References
+
+https://huggingface.co/activebus/BERT-PT_rest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_cord19_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_cord19_en.md
new file mode 100644
index 00000000000000..0daf7b1a83b9d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_cord19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_cord19 BertEmbeddings from NeuML
+author: John Snow Labs
+name: bert_small_cord19
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_cord19` is a English model originally trained by NeuML.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_cord19_en_5.1.1_3.0_1694569266803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_cord19_en_5.1.1_3.0_1694569266803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_cord19","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_cord19", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_cord19|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|130.5 MB|
+
+## References
+
+https://huggingface.co/NeuML/bert-small-cord19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_finer_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finer_en.md
new file mode 100644
index 00000000000000..d0fdcade4480da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_finer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_small_finer
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_finer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finer_en_5.1.1_3.0_1694578634265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finer_en_5.1.1_3.0_1694578634265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_finer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_finer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_finer_longer_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finer_longer_en.md
new file mode 100644
index 00000000000000..597ad6f196b6b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finer_longer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_finer_longer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_small_finer_longer
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_finer_longer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finer_longer_en_5.1.1_3.0_1694578725327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finer_longer_en_5.1.1_3.0_1694578725327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_finer_longer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_finer_longer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finer_longer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finer-longer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_eurlex_longer_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_eurlex_longer_en.md
new file mode 100644
index 00000000000000..f93de11cb3d516
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_eurlex_longer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_finetuned_eurlex_longer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_eurlex_longer
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_finetuned_eurlex_longer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eurlex_longer_en_5.1.1_3.0_1694569982036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eurlex_longer_en_5.1.1_3.0_1694569982036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_finetuned_eurlex_longer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_finetuned_eurlex_longer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_eurlex_longer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-eurlex-longer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_finer_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_finer_en.md
new file mode 100644
index 00000000000000..0370444f921f6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_finer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_finetuned_finer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_finer
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_finetuned_finer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_finer_en_5.1.1_3.0_1694577758798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_finer_en_5.1.1_3.0_1694577758798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_finetuned_finer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_finetuned_finer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_finer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-finer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_finer_longer10_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_finer_longer10_en.md
new file mode 100644
index 00000000000000..5bc0cf5e011fac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_finetuned_finer_longer10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_finetuned_finer_longer10 BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_finer_longer10
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_finetuned_finer_longer10` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_finer_longer10_en_5.1.1_3.0_1694577859721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_finer_longer10_en_5.1.1_3.0_1694577859721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_finetuned_finer_longer10","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_finetuned_finer_longer10", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_finer_longer10|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-finer-longer10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_nan_labels_500_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_nan_labels_500_en.md
new file mode 100644
index 00000000000000..b6ca774d2c0695
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_nan_labels_500_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_nan_labels_500 BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_small_nan_labels_500
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_nan_labels_500` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_nan_labels_500_en_5.1.1_3.0_1694574048493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_nan_labels_500_en_5.1.1_3.0_1694574048493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_nan_labels_500","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_nan_labels_500", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_nan_labels_500|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-nan-labels-500
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_small_pretrained_on_squad_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_small_pretrained_on_squad_en.md
new file mode 100644
index 00000000000000..9c78abf0796c12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_small_pretrained_on_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_pretrained_on_squad BertEmbeddings from anas-awadalla
+author: John Snow Labs
+name: bert_small_pretrained_on_squad
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_small_pretrained_on_squad` is a English model originally trained by anas-awadalla.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_pretrained_on_squad_en_5.1.1_3.0_1694579945463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_pretrained_on_squad_en_5.1.1_3.0_1694579945463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_small_pretrained_on_squad","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_small_pretrained_on_squad", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_pretrained_on_squad|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/anas-awadalla/bert-small-pretrained-on-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_tiny_finetuned_legal_definitions_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_tiny_finetuned_legal_definitions_en.md
new file mode 100644
index 00000000000000..e30e903e9dfbb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_tiny_finetuned_legal_definitions_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_legal_definitions BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_legal_definitions
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_tiny_finetuned_legal_definitions` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_legal_definitions_en_5.1.1_3.0_1694564433910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_legal_definitions_en_5.1.1_3.0_1694564433910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_tiny_finetuned_legal_definitions","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_tiny_finetuned_legal_definitions", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_legal_definitions|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-legal-definitions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_tiny_finetuned_nan_labels_nepal_bhasa_longer_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_tiny_finetuned_nan_labels_nepal_bhasa_longer_en.md
new file mode 100644
index 00000000000000..f0ff6a6c7c3782
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_tiny_finetuned_nan_labels_nepal_bhasa_longer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_nan_labels_nepal_bhasa_longer BertEmbeddings from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_nan_labels_nepal_bhasa_longer
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_tiny_finetuned_nan_labels_nepal_bhasa_longer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_nan_labels_nepal_bhasa_longer_en_5.1.1_3.0_1694565410527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_nan_labels_nepal_bhasa_longer_en_5.1.1_3.0_1694565410527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_tiny_finetuned_nan_labels_nepal_bhasa_longer","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_tiny_finetuned_nan_labels_nepal_bhasa_longer", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_nan_labels_nepal_bhasa_longer|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-nan-labels-new-longer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_truncate_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_truncate_en.md
new file mode 100644
index 00000000000000..ab00b088985163
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_truncate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_truncate BertEmbeddings from NasimB
+author: John Snow Labs
+name: bert_truncate
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_truncate` is a English model originally trained by NasimB.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_truncate_en_5.1.1_3.0_1694587157781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_truncate_en_5.1.1_3.0_1694587157781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_truncate","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_truncate", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_truncate|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|400.3 MB|
+
+## References
+
+https://huggingface.co/NasimB/bert-truncate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_ucb_5_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_ucb_5_en.md
new file mode 100644
index 00000000000000..0f4f477fd701a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_ucb_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ucb_5 BertEmbeddings from Diegomejia
+author: John Snow Labs
+name: bert_ucb_5
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_ucb_5` is a English model originally trained by Diegomejia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ucb_5_en_5.1.1_3.0_1694570353048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ucb_5_en_5.1.1_3.0_1694570353048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_ucb_5","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_ucb_5", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ucb_5|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Diegomejia/bert-ucb-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_10_h_512_a_8_cord19_200616_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_10_h_512_a_8_cord19_200616_en.md
new file mode 100644
index 00000000000000..5fac0d66ef244d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_10_h_512_a_8_cord19_200616_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_l_10_h_512_a_8_cord19_200616 BertEmbeddings from aodiniz
+author: John Snow Labs
+name: bert_uncased_l_10_h_512_a_8_cord19_200616
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_l_10_h_512_a_8_cord19_200616` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_10_h_512_a_8_cord19_200616_en_5.1.1_3.0_1694580662292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_10_h_512_a_8_cord19_200616_en_5.1.1_3.0_1694580662292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_l_10_h_512_a_8_cord19_200616","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_l_10_h_512_a_8_cord19_200616", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_10_h_512_a_8_cord19_200616|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|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/ahmedlone127/2023-09-13-bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq_en.md
new file mode 100644
index 00000000000000..5faa852e2c8546
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq BertEmbeddings from postbot
+author: John Snow Labs
+name: bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_l_2_h_256_a_4_mlm_multi_emails_hq` is a English model originally trained by postbot.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq_en_5.1.1_3.0_1694575813152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq_en_5.1.1_3.0_1694575813152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_2_h_256_a_4_mlm_multi_emails_hq|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|35.9 MB|
+
+## References
+
+https://huggingface.co/postbot/bert_uncased_L-2_H-256_A-4-mlm-multi-emails-hq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_2_h_512_a_8_cord19_200616_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_2_h_512_a_8_cord19_200616_en.md
new file mode 100644
index 00000000000000..2ab2f5f66731e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_2_h_512_a_8_cord19_200616_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_l_2_h_512_a_8_cord19_200616 BertEmbeddings from aodiniz
+author: John Snow Labs
+name: bert_uncased_l_2_h_512_a_8_cord19_200616
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_l_2_h_512_a_8_cord19_200616` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_2_h_512_a_8_cord19_200616_en_5.1.1_3.0_1694580817170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_2_h_512_a_8_cord19_200616_en_5.1.1_3.0_1694580817170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_l_2_h_512_a_8_cord19_200616","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_l_2_h_512_a_8_cord19_200616", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_2_h_512_a_8_cord19_200616|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|83.3 MB|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-2_H-512_A-8_cord19-200616
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_4_h_512_a_8_cord19_200616_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_4_h_512_a_8_cord19_200616_en.md
new file mode 100644
index 00000000000000..0efa00cf262be3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_4_h_512_a_8_cord19_200616_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_l_4_h_512_a_8_cord19_200616 BertEmbeddings from aodiniz
+author: John Snow Labs
+name: bert_uncased_l_4_h_512_a_8_cord19_200616
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_l_4_h_512_a_8_cord19_200616` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_4_h_512_a_8_cord19_200616_en_5.1.1_3.0_1694580980693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_4_h_512_a_8_cord19_200616_en_5.1.1_3.0_1694580980693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_l_4_h_512_a_8_cord19_200616","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_l_4_h_512_a_8_cord19_200616", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_4_h_512_a_8_cord19_200616|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-4_H-512_A-8_cord19-200616
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_6_h_128_a_2_cord19_200616_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_6_h_128_a_2_cord19_200616_en.md
new file mode 100644
index 00000000000000..6045aee085b47f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_l_6_h_128_a_2_cord19_200616_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_l_6_h_128_a_2_cord19_200616 BertEmbeddings from aodiniz
+author: John Snow Labs
+name: bert_uncased_l_6_h_128_a_2_cord19_200616
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_l_6_h_128_a_2_cord19_200616` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_6_h_128_a_2_cord19_200616_en_5.1.1_3.0_1694581174056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_6_h_128_a_2_cord19_200616_en_5.1.1_3.0_1694581174056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_l_6_h_128_a_2_cord19_200616","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_l_6_h_128_a_2_cord19_200616", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_6_h_128_a_2_cord19_200616|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.6 MB|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-6_H-128_A-2_cord19-200616
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_tiny_2xthicc_multi_emails_hq_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_tiny_2xthicc_multi_emails_hq_en.md
new file mode 100644
index 00000000000000..01094daa40f30b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_tiny_2xthicc_multi_emails_hq_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_tiny_2xthicc_multi_emails_hq BertEmbeddings from postbot
+author: John Snow Labs
+name: bert_uncased_tiny_2xthicc_multi_emails_hq
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_tiny_2xthicc_multi_emails_hq` is a English model originally trained by postbot.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_tiny_2xthicc_multi_emails_hq_en_5.1.1_3.0_1694575965085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_tiny_2xthicc_multi_emails_hq_en_5.1.1_3.0_1694575965085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_tiny_2xthicc_multi_emails_hq","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_tiny_2xthicc_multi_emails_hq", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_tiny_2xthicc_multi_emails_hq|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|18.1 MB|
+
+## References
+
+https://huggingface.co/postbot/bert_uncased_tiny_2xthicc-multi-emails-hq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_tiny_multi_emails_hq_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_tiny_multi_emails_hq_en.md
new file mode 100644
index 00000000000000..1bc9cd4fed9901
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_uncased_tiny_multi_emails_hq_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_uncased_tiny_multi_emails_hq BertEmbeddings from postbot
+author: John Snow Labs
+name: bert_uncased_tiny_multi_emails_hq
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_uncased_tiny_multi_emails_hq` is a English model originally trained by postbot.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_tiny_multi_emails_hq_en_5.1.1_3.0_1694575894615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_tiny_multi_emails_hq_en_5.1.1_3.0_1694575894615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_uncased_tiny_multi_emails_hq","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_uncased_tiny_multi_emails_hq", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_tiny_multi_emails_hq|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/postbot/bert_uncased_tiny-multi-emails-hq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_wwm_words_law_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_wwm_words_law_en.md
new file mode 100644
index 00000000000000..b6d165d851dc51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_wwm_words_law_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_wwm_words_law BertEmbeddings from ssbuild
+author: John Snow Labs
+name: bert_wwm_words_law
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_wwm_words_law` is a English model originally trained by ssbuild.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_wwm_words_law_en_5.1.1_3.0_1694583048594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_wwm_words_law_en_5.1.1_3.0_1694583048594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_wwm_words_law","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_wwm_words_law", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_wwm_words_law|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|424.2 MB|
+
+## References
+
+https://huggingface.co/ssbuild/bert_wwm_words_law
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_yelp_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_yelp_en.md
new file mode 100644
index 00000000000000..20781554b69aa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_yelp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_yelp BertEmbeddings from spicecloud
+author: John Snow Labs
+name: bert_yelp
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_yelp` is a English model originally trained by spicecloud.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_yelp_en_5.1.1_3.0_1694578158390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_yelp_en_5.1.1_3.0_1694578158390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_yelp","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_yelp", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_yelp|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/spicecloud/bert-yelp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bert_yelp_local_en.md b/docs/_posts/ahmedlone127/2023-09-13-bert_yelp_local_en.md
new file mode 100644
index 00000000000000..34590cb2b70605
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bert_yelp_local_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_yelp_local BertEmbeddings from spicecloud
+author: John Snow Labs
+name: bert_yelp_local
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_yelp_local` is a English model originally trained by spicecloud.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_yelp_local_en_5.1.1_3.0_1694578003743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_yelp_local_en_5.1.1_3.0_1694578003743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_yelp_local","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bert_yelp_local", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_yelp_local|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/spicecloud/bert-yelp-local
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bertimbau_base_finetuned_lener_breton_pt.md b/docs/_posts/ahmedlone127/2023-09-13-bertimbau_base_finetuned_lener_breton_pt.md
new file mode 100644
index 00000000000000..a5e45323acaf3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bertimbau_base_finetuned_lener_breton_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese bertimbau_base_finetuned_lener_breton BertEmbeddings from Luciano
+author: John Snow Labs
+name: bertimbau_base_finetuned_lener_breton
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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.`bertimbau_base_finetuned_lener_breton` is a Portuguese model originally trained by Luciano.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertimbau_base_finetuned_lener_breton_pt_5.1.1_3.0_1694580858415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertimbau_base_finetuned_lener_breton_pt_5.1.1_3.0_1694580858415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertimbau_base_finetuned_lener_breton","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertimbau_base_finetuned_lener_breton", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertimbau_base_finetuned_lener_breton|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bertjewdialdataallqonly128_en.md b/docs/_posts/ahmedlone127/2023-09-13-bertjewdialdataallqonly128_en.md
new file mode 100644
index 00000000000000..cb61fc45eb9617
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bertjewdialdataallqonly128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertjewdialdataallqonly128 BertEmbeddings from Jeska
+author: John Snow Labs
+name: bertjewdialdataallqonly128
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bertjewdialdataallqonly128` is a English model originally trained by Jeska.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly128_en_5.1.1_3.0_1694563422405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertjewdialdataallqonly128_en_5.1.1_3.0_1694563422405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bertjewdialdataallqonly128","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bertjewdialdataallqonly128", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertjewdialdataallqonly128|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Jeska/BertjeWDialDataALLQonly128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-biblitbert_1_en.md b/docs/_posts/ahmedlone127/2023-09-13-biblitbert_1_en.md
new file mode 100644
index 00000000000000..8824d2a4111687
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-biblitbert_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biblitbert_1 BertEmbeddings from vppvgit
+author: John Snow Labs
+name: biblitbert_1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`biblitbert_1` is a English model originally trained by vppvgit.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biblitbert_1_en_5.1.1_3.0_1694582201983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biblitbert_1_en_5.1.1_3.0_1694582201983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biblitbert_1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biblitbert_1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biblitbert_1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/vppvgit/BiblItBERT-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bio_minialbert_128_en.md b/docs/_posts/ahmedlone127/2023-09-13-bio_minialbert_128_en.md
new file mode 100644
index 00000000000000..735a049c1999b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bio_minialbert_128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bio_minialbert_128 BertEmbeddings from nlpie
+author: John Snow Labs
+name: bio_minialbert_128
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_minialbert_128` is a English model originally trained by nlpie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_minialbert_128_en_5.1.1_3.0_1694568055117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_minialbert_128_en_5.1.1_3.0_1694568055117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bio_minialbert_128","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bio_minialbert_128", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_minialbert_128|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|243.6 MB|
+
+## References
+
+https://huggingface.co/nlpie/bio-miniALBERT-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bio_tinybert_en.md b/docs/_posts/ahmedlone127/2023-09-13-bio_tinybert_en.md
new file mode 100644
index 00000000000000..a25dbbbc345763
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bio_tinybert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bio_tinybert BertEmbeddings from nlpie
+author: John Snow Labs
+name: bio_tinybert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_tinybert` is a English model originally trained by nlpie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_tinybert_en_5.1.1_3.0_1694577599069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_tinybert_en_5.1.1_3.0_1694577599069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bio_tinybert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bio_tinybert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_tinybert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|53.8 MB|
+
+## References
+
+https://huggingface.co/nlpie/bio-tinybert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-biobert_base_1.2_en.md b/docs/_posts/ahmedlone127/2023-09-13-biobert_base_1.2_en.md
new file mode 100644
index 00000000000000..37f3e529a1179b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-biobert_base_1.2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_base_1.2 BertEmbeddings from abnuel
+author: John Snow Labs
+name: biobert_base_1.2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`biobert_base_1.2` is a English model originally trained by abnuel.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_base_1.2_en_5.1.1_3.0_1694573075905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_base_1.2_en_5.1.1_3.0_1694573075905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biobert_base_1.2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biobert_base_1.2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_base_1.2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/abnuel/biobert-base_1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-biobertpt_all_pt.md b/docs/_posts/ahmedlone127/2023-09-13-biobertpt_all_pt.md
new file mode 100644
index 00000000000000..4c949a0e8a3ce2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-biobertpt_all_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese biobertpt_all BertEmbeddings from pucpr
+author: John Snow Labs
+name: biobertpt_all
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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.`biobertpt_all` is a Portuguese model originally trained by pucpr.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobertpt_all_pt_5.1.1_3.0_1694564346908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobertpt_all_pt_5.1.1_3.0_1694564346908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biobertpt_all","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biobertpt_all", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobertpt_all|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|664.8 MB|
+
+## References
+
+https://huggingface.co/pucpr/biobertpt-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-biobertpt_bio_pt.md b/docs/_posts/ahmedlone127/2023-09-13-biobertpt_bio_pt.md
new file mode 100644
index 00000000000000..a99ea40f5089cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-biobertpt_bio_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese biobertpt_bio BertEmbeddings from pucpr
+author: John Snow Labs
+name: biobertpt_bio
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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.`biobertpt_bio` is a Portuguese model originally trained by pucpr.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobertpt_bio_pt_5.1.1_3.0_1694564511348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobertpt_bio_pt_5.1.1_3.0_1694564511348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biobertpt_bio","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biobertpt_bio", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobertpt_bio|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/pucpr/biobertpt-bio
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-biobertpt_clin_pt.md b/docs/_posts/ahmedlone127/2023-09-13-biobertpt_clin_pt.md
new file mode 100644
index 00000000000000..f1500d423fab4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-biobertpt_clin_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese biobertpt_clin BertEmbeddings from pucpr
+author: John Snow Labs
+name: biobertpt_clin
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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.`biobertpt_clin` is a Portuguese model originally trained by pucpr.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobertpt_clin_pt_5.1.1_3.0_1694564736648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobertpt_clin_pt_5.1.1_3.0_1694564736648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biobertpt_clin","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biobertpt_clin", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobertpt_clin|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/pucpr/biobertpt-clin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bioformer_16l_en.md b/docs/_posts/ahmedlone127/2023-09-13-bioformer_16l_en.md
new file mode 100644
index 00000000000000..fadb7c01fd2fbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bioformer_16l_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bioformer_16l BertEmbeddings from bioformers
+author: John Snow Labs
+name: bioformer_16l
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bioformer_16l` is a English model originally trained by bioformers.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bioformer_16l_en_5.1.1_3.0_1694566235721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bioformer_16l_en_5.1.1_3.0_1694566235721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bioformer_16l","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bioformer_16l", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bioformer_16l|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|155.3 MB|
+
+## References
+
+https://huggingface.co/bioformers/bioformer-16L
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-biomedical_en.md b/docs/_posts/ahmedlone127/2023-09-13-biomedical_en.md
new file mode 100644
index 00000000000000..b913be3cc32eba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-biomedical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical BertEmbeddings from ajitrajasekharan
+author: John Snow Labs
+name: biomedical
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`biomedical` is a English model originally trained by ajitrajasekharan.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_en_5.1.1_3.0_1694577740537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_en_5.1.1_3.0_1694577740537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("biomedical","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("biomedical", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/ajitrajasekharan/biomedical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-bioptimus_en.md b/docs/_posts/ahmedlone127/2023-09-13-bioptimus_en.md
new file mode 100644
index 00000000000000..9338e76033d79b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-bioptimus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bioptimus BertEmbeddings from rttl-ai
+author: John Snow Labs
+name: bioptimus
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`bioptimus` is a English model originally trained by rttl-ai.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bioptimus_en_5.1.1_3.0_1694587762594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bioptimus_en_5.1.1_3.0_1694587762594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bioptimus","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("bioptimus", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bioptimus|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/rttl-ai/BIOptimus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-burmese_awesome_eli5_mlm_model_en.md b/docs/_posts/ahmedlone127/2023-09-13-burmese_awesome_eli5_mlm_model_en.md
new file mode 100644
index 00000000000000..5bab73d8dc62fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-burmese_awesome_eli5_mlm_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model BertEmbeddings from JackWolfard
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`burmese_awesome_eli5_mlm_model` is a English model originally trained by JackWolfard.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_en_5.1.1_3.0_1694583256576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_en_5.1.1_3.0_1694583256576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("burmese_awesome_eli5_mlm_model","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("burmese_awesome_eli5_mlm_model", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|523.9 KB|
+
+## References
+
+https://huggingface.co/JackWolfard/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-burmese_awesome_model_alexyalunin_en.md b/docs/_posts/ahmedlone127/2023-09-13-burmese_awesome_model_alexyalunin_en.md
new file mode 100644
index 00000000000000..7a02b6b052b48a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-burmese_awesome_model_alexyalunin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_model_alexyalunin BertEmbeddings from alexyalunin
+author: John Snow Labs
+name: burmese_awesome_model_alexyalunin
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`burmese_awesome_model_alexyalunin` is a English model originally trained by alexyalunin.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_alexyalunin_en_5.1.1_3.0_1694578520145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_alexyalunin_en_5.1.1_3.0_1694578520145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("burmese_awesome_model_alexyalunin","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("burmese_awesome_model_alexyalunin", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_alexyalunin|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/alexyalunin/my-awesome-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-chefberto_italian_cased_it.md b/docs/_posts/ahmedlone127/2023-09-13-chefberto_italian_cased_it.md
new file mode 100644
index 00000000000000..89b3dbd0bf80a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-chefberto_italian_cased_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian chefberto_italian_cased BertEmbeddings from vinhood
+author: John Snow Labs
+name: chefberto_italian_cased
+date: 2023-09-13
+tags: [bert, it, open_source, fill_mask, onnx]
+task: Embeddings
+language: it
+edition: Spark NLP 5.1.1
+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.`chefberto_italian_cased` is a Italian model originally trained by vinhood.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chefberto_italian_cased_it_5.1.1_3.0_1694581754685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chefberto_italian_cased_it_5.1.1_3.0_1694581754685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("chefberto_italian_cased","it") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("chefberto_italian_cased", "it")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chefberto_italian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|it|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/vinhood/chefberto-italian-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-chemical_bert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-chemical_bert_uncased_en.md
new file mode 100644
index 00000000000000..8fcb986dd8d999
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-chemical_bert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English chemical_bert_uncased BertEmbeddings from recobo
+author: John Snow Labs
+name: chemical_bert_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`chemical_bert_uncased` is a English model originally trained by recobo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chemical_bert_uncased_en_5.1.1_3.0_1694566856839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chemical_bert_uncased_en_5.1.1_3.0_1694566856839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("chemical_bert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("chemical_bert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chemical_bert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/recobo/chemical-bert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-chupeto_en.md b/docs/_posts/ahmedlone127/2023-09-13-chupeto_en.md
new file mode 100644
index 00000000000000..c3acf86a8e73d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-chupeto_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English chupeto BertEmbeddings from justinian336
+author: John Snow Labs
+name: chupeto
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`chupeto` is a English model originally trained by justinian336.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chupeto_en_5.1.1_3.0_1694577833102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chupeto_en_5.1.1_3.0_1694577833102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("chupeto","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("chupeto", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chupeto|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/justinian336/chupeto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-clinical_minialbert_312_en.md b/docs/_posts/ahmedlone127/2023-09-13-clinical_minialbert_312_en.md
new file mode 100644
index 00000000000000..33b21c2e528c93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-clinical_minialbert_312_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinical_minialbert_312 BertEmbeddings from nlpie
+author: John Snow Labs
+name: clinical_minialbert_312
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clinical_minialbert_312` is a English model originally trained by nlpie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinical_minialbert_312_en_5.1.1_3.0_1694574036589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinical_minialbert_312_en_5.1.1_3.0_1694574036589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clinical_minialbert_312","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clinical_minialbert_312", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_minialbert_312|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|243.6 MB|
+
+## References
+
+https://huggingface.co/nlpie/clinical-miniALBERT-312
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-clinical_pubmed_bert_base_128_en.md b/docs/_posts/ahmedlone127/2023-09-13-clinical_pubmed_bert_base_128_en.md
new file mode 100644
index 00000000000000..9a61fb8060b94f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-clinical_pubmed_bert_base_128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinical_pubmed_bert_base_128 BertEmbeddings from Tsubasaz
+author: John Snow Labs
+name: clinical_pubmed_bert_base_128
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clinical_pubmed_bert_base_128` is a English model originally trained by Tsubasaz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinical_pubmed_bert_base_128_en_5.1.1_3.0_1694573024229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinical_pubmed_bert_base_128_en_5.1.1_3.0_1694573024229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clinical_pubmed_bert_base_128","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clinical_pubmed_bert_base_128", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_pubmed_bert_base_128|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/Tsubasaz/clinical-pubmed-bert-base-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-clinical_pubmed_bert_base_512_en.md b/docs/_posts/ahmedlone127/2023-09-13-clinical_pubmed_bert_base_512_en.md
new file mode 100644
index 00000000000000..0240fd62528afd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-clinical_pubmed_bert_base_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinical_pubmed_bert_base_512 BertEmbeddings from Tsubasaz
+author: John Snow Labs
+name: clinical_pubmed_bert_base_512
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clinical_pubmed_bert_base_512` is a English model originally trained by Tsubasaz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinical_pubmed_bert_base_512_en_5.1.1_3.0_1694573181218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinical_pubmed_bert_base_512_en_5.1.1_3.0_1694573181218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clinical_pubmed_bert_base_512","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clinical_pubmed_bert_base_512", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_pubmed_bert_base_512|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/Tsubasaz/clinical-pubmed-bert-base-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-clr_finetuned_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-clr_finetuned_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..3837138d40d8e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-clr_finetuned_bert_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clr_finetuned_bert_base_uncased BertEmbeddings from SauravMaheshkar
+author: John Snow Labs
+name: clr_finetuned_bert_base_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clr_finetuned_bert_base_uncased` is a English model originally trained by SauravMaheshkar.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clr_finetuned_bert_base_uncased_en_5.1.1_3.0_1694570611508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clr_finetuned_bert_base_uncased_en_5.1.1_3.0_1694570611508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clr_finetuned_bert_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clr_finetuned_bert_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clr_finetuned_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/SauravMaheshkar/clr-finetuned-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-clr_finetuned_bert_large_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-clr_finetuned_bert_large_uncased_en.md
new file mode 100644
index 00000000000000..065b6c5b7f9ed8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-clr_finetuned_bert_large_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clr_finetuned_bert_large_uncased BertEmbeddings from SauravMaheshkar
+author: John Snow Labs
+name: clr_finetuned_bert_large_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clr_finetuned_bert_large_uncased` is a English model originally trained by SauravMaheshkar.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clr_finetuned_bert_large_uncased_en_5.1.1_3.0_1694570948330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clr_finetuned_bert_large_uncased_en_5.1.1_3.0_1694570948330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clr_finetuned_bert_large_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clr_finetuned_bert_large_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clr_finetuned_bert_large_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/SauravMaheshkar/clr-finetuned-bert-large-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-clr_pretrained_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-clr_pretrained_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..a95a1ffb937be3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-clr_pretrained_bert_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clr_pretrained_bert_base_uncased BertEmbeddings from SauravMaheshkar
+author: John Snow Labs
+name: clr_pretrained_bert_base_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`clr_pretrained_bert_base_uncased` is a English model originally trained by SauravMaheshkar.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clr_pretrained_bert_base_uncased_en_5.1.1_3.0_1694571112395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clr_pretrained_bert_base_uncased_en_5.1.1_3.0_1694571112395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("clr_pretrained_bert_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("clr_pretrained_bert_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clr_pretrained_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/SauravMaheshkar/clr-pretrained-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-compact_biobert_en.md b/docs/_posts/ahmedlone127/2023-09-13-compact_biobert_en.md
new file mode 100644
index 00000000000000..144968fab29a3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-compact_biobert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English compact_biobert BertEmbeddings from nlpie
+author: John Snow Labs
+name: compact_biobert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`compact_biobert` is a English model originally trained by nlpie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/compact_biobert_en_5.1.1_3.0_1694574999951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/compact_biobert_en_5.1.1_3.0_1694574999951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("compact_biobert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("compact_biobert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|compact_biobert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|244.4 MB|
+
+## References
+
+https://huggingface.co/nlpie/compact-biobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-condenser_en.md b/docs/_posts/ahmedlone127/2023-09-13-condenser_en.md
new file mode 100644
index 00000000000000..7f1dac0527eb84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-condenser_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English condenser BertEmbeddings from Luyu
+author: John Snow Labs
+name: condenser
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`condenser` is a English model originally trained by Luyu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/condenser_en_5.1.1_3.0_1694567000935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/condenser_en_5.1.1_3.0_1694567000935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("condenser","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("condenser", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|condenser|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/Luyu/condenser
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-continue_mlm_en.md b/docs/_posts/ahmedlone127/2023-09-13-continue_mlm_en.md
new file mode 100644
index 00000000000000..fc267d90feb3fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-continue_mlm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English continue_mlm BertEmbeddings from researchaccount
+author: John Snow Labs
+name: continue_mlm
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`continue_mlm` is a English model originally trained by researchaccount.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/continue_mlm_en_5.1.1_3.0_1694567886435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/continue_mlm_en_5.1.1_3.0_1694567886435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("continue_mlm","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("continue_mlm", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|continue_mlm|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|608.4 MB|
+
+## References
+
+https://huggingface.co/researchaccount/continue_mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-contractbr_bert_base_portuguese_en.md b/docs/_posts/ahmedlone127/2023-09-13-contractbr_bert_base_portuguese_en.md
new file mode 100644
index 00000000000000..7755c4473c57b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-contractbr_bert_base_portuguese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English contractbr_bert_base_portuguese BertEmbeddings from gacosta
+author: John Snow Labs
+name: contractbr_bert_base_portuguese
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`contractbr_bert_base_portuguese` is a English model originally trained by gacosta.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/contractbr_bert_base_portuguese_en_5.1.1_3.0_1694582459489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/contractbr_bert_base_portuguese_en_5.1.1_3.0_1694582459489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("contractbr_bert_base_portuguese","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("contractbr_bert_base_portuguese", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|contractbr_bert_base_portuguese|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/gacosta/contractbr-bert-base-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-cordbert_1000_v1_en.md b/docs/_posts/ahmedlone127/2023-09-13-cordbert_1000_v1_en.md
new file mode 100644
index 00000000000000..77c0c28060c6d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-cordbert_1000_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cordbert_1000_v1 BertEmbeddings from tanvir21
+author: John Snow Labs
+name: cordbert_1000_v1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`cordbert_1000_v1` is a English model originally trained by tanvir21.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cordbert_1000_v1_en_5.1.1_3.0_1694574593447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cordbert_1000_v1_en_5.1.1_3.0_1694574593447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("cordbert_1000_v1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("cordbert_1000_v1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cordbert_1000_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/tanvir21/cordBERT-1000-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-corsican_condenser_marco_en.md b/docs/_posts/ahmedlone127/2023-09-13-corsican_condenser_marco_en.md
new file mode 100644
index 00000000000000..c37cd0b2fc911c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-corsican_condenser_marco_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English corsican_condenser_marco BertEmbeddings from Luyu
+author: John Snow Labs
+name: corsican_condenser_marco
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`corsican_condenser_marco` is a English model originally trained by Luyu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/corsican_condenser_marco_en_5.1.1_3.0_1694566669130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/corsican_condenser_marco_en_5.1.1_3.0_1694566669130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("corsican_condenser_marco","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("corsican_condenser_marco", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|corsican_condenser_marco|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/Luyu/co-condenser-marco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-corsican_condenser_wiki_en.md b/docs/_posts/ahmedlone127/2023-09-13-corsican_condenser_wiki_en.md
new file mode 100644
index 00000000000000..1f65c52df534b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-corsican_condenser_wiki_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English corsican_condenser_wiki BertEmbeddings from Luyu
+author: John Snow Labs
+name: corsican_condenser_wiki
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`corsican_condenser_wiki` is a English model originally trained by Luyu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/corsican_condenser_wiki_en_5.1.1_3.0_1694566835743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/corsican_condenser_wiki_en_5.1.1_3.0_1694566835743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("corsican_condenser_wiki","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("corsican_condenser_wiki", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|corsican_condenser_wiki|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/Luyu/co-condenser-wiki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-czert_b_base_cased_cs.md b/docs/_posts/ahmedlone127/2023-09-13-czert_b_base_cased_cs.md
new file mode 100644
index 00000000000000..75cb46fa7c6a55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-czert_b_base_cased_cs.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Czech czert_b_base_cased BertEmbeddings from UWB-AIR
+author: John Snow Labs
+name: czert_b_base_cased
+date: 2023-09-13
+tags: [bert, cs, open_source, fill_mask, onnx]
+task: Embeddings
+language: cs
+edition: Spark NLP 5.1.1
+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.`czert_b_base_cased` is a Czech model originally trained by UWB-AIR.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/czert_b_base_cased_cs_5.1.1_3.0_1694574332325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/czert_b_base_cased_cs_5.1.1_3.0_1694574332325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("czert_b_base_cased","cs") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("czert_b_base_cased", "cs")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|czert_b_base_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|cs|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/UWB-AIR/Czert-B-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_en.md b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_en.md
new file mode 100644
index 00000000000000..adfd1bdd103345
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dam_bert_base_mlm_msmarco BertEmbeddings from jingtao
+author: John Snow Labs
+name: dam_bert_base_mlm_msmarco
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dam_bert_base_mlm_msmarco` is a English model originally trained by jingtao.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_en_5.1.1_3.0_1694572069064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_en_5.1.1_3.0_1694572069064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dam_bert_base_mlm_msmarco","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dam_bert_base_mlm_msmarco", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dam_bert_base_mlm_msmarco|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/jingtao/DAM-bert_base-mlm-msmarco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_life_test_en.md b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_life_test_en.md
new file mode 100644
index 00000000000000..d17418592ff471
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_life_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dam_bert_base_mlm_msmarco_lotte_life_test BertEmbeddings from jingtao
+author: John Snow Labs
+name: dam_bert_base_mlm_msmarco_lotte_life_test
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dam_bert_base_mlm_msmarco_lotte_life_test` is a English model originally trained by jingtao.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_life_test_en_5.1.1_3.0_1694570882292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_life_test_en_5.1.1_3.0_1694570882292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dam_bert_base_mlm_msmarco_lotte_life_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dam_bert_base_mlm_msmarco_lotte_life_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dam_bert_base_mlm_msmarco_lotte_life_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/jingtao/DAM-bert_base-mlm-msmarco-lotte_life_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_rec_test_en.md b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_rec_test_en.md
new file mode 100644
index 00000000000000..99c897c087e9d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_rec_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dam_bert_base_mlm_msmarco_lotte_rec_test BertEmbeddings from jingtao
+author: John Snow Labs
+name: dam_bert_base_mlm_msmarco_lotte_rec_test
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dam_bert_base_mlm_msmarco_lotte_rec_test` is a English model originally trained by jingtao.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_rec_test_en_5.1.1_3.0_1694571547494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_rec_test_en_5.1.1_3.0_1694571547494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dam_bert_base_mlm_msmarco_lotte_rec_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dam_bert_base_mlm_msmarco_lotte_rec_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dam_bert_base_mlm_msmarco_lotte_rec_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/jingtao/DAM-bert_base-mlm-msmarco-lotte_rec_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_sci_test_en.md b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_sci_test_en.md
new file mode 100644
index 00000000000000..3010fc78c3ea32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_sci_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dam_bert_base_mlm_msmarco_lotte_sci_test BertEmbeddings from jingtao
+author: John Snow Labs
+name: dam_bert_base_mlm_msmarco_lotte_sci_test
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dam_bert_base_mlm_msmarco_lotte_sci_test` is a English model originally trained by jingtao.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_sci_test_en_5.1.1_3.0_1694571388033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_sci_test_en_5.1.1_3.0_1694571388033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dam_bert_base_mlm_msmarco_lotte_sci_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dam_bert_base_mlm_msmarco_lotte_sci_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dam_bert_base_mlm_msmarco_lotte_sci_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/jingtao/DAM-bert_base-mlm-msmarco-lotte_sci_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_tech_test_en.md b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_tech_test_en.md
new file mode 100644
index 00000000000000..71ea0695d2c733
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_tech_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dam_bert_base_mlm_msmarco_lotte_tech_test BertEmbeddings from jingtao
+author: John Snow Labs
+name: dam_bert_base_mlm_msmarco_lotte_tech_test
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dam_bert_base_mlm_msmarco_lotte_tech_test` is a English model originally trained by jingtao.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_tech_test_en_5.1.1_3.0_1694571198236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_tech_test_en_5.1.1_3.0_1694571198236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dam_bert_base_mlm_msmarco_lotte_tech_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dam_bert_base_mlm_msmarco_lotte_tech_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dam_bert_base_mlm_msmarco_lotte_tech_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/jingtao/DAM-bert_base-mlm-msmarco-lotte_tech_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_write_test_en.md b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_write_test_en.md
new file mode 100644
index 00000000000000..1d6ad632de2181
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_lotte_write_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dam_bert_base_mlm_msmarco_lotte_write_test BertEmbeddings from jingtao
+author: John Snow Labs
+name: dam_bert_base_mlm_msmarco_lotte_write_test
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dam_bert_base_mlm_msmarco_lotte_write_test` is a English model originally trained by jingtao.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_write_test_en_5.1.1_3.0_1694571044394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_lotte_write_test_en_5.1.1_3.0_1694571044394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dam_bert_base_mlm_msmarco_lotte_write_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dam_bert_base_mlm_msmarco_lotte_write_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dam_bert_base_mlm_msmarco_lotte_write_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/jingtao/DAM-bert_base-mlm-msmarco-lotte_write_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_trec_covid_en.md b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_trec_covid_en.md
new file mode 100644
index 00000000000000..956dfdf9c5a66f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dam_bert_base_mlm_msmarco_trec_covid_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dam_bert_base_mlm_msmarco_trec_covid BertEmbeddings from jingtao
+author: John Snow Labs
+name: dam_bert_base_mlm_msmarco_trec_covid
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dam_bert_base_mlm_msmarco_trec_covid` is a English model originally trained by jingtao.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_trec_covid_en_5.1.1_3.0_1694571695715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dam_bert_base_mlm_msmarco_trec_covid_en_5.1.1_3.0_1694571695715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dam_bert_base_mlm_msmarco_trec_covid","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dam_bert_base_mlm_msmarco_trec_covid", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dam_bert_base_mlm_msmarco_trec_covid|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/jingtao/DAM-bert_base-mlm-msmarco-trec_covid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dapt_bert_ko.md b/docs/_posts/ahmedlone127/2023-09-13-dapt_bert_ko.md
new file mode 100644
index 00000000000000..9a282a35eb3c46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dapt_bert_ko.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Korean dapt_bert BertEmbeddings from Kdogs
+author: John Snow Labs
+name: dapt_bert
+date: 2023-09-13
+tags: [bert, ko, open_source, fill_mask, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.1.1
+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.`dapt_bert` is a Korean model originally trained by Kdogs.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dapt_bert_ko_5.1.1_3.0_1694576688190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dapt_bert_ko_5.1.1_3.0_1694576688190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dapt_bert","ko") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dapt_bert", "ko")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dapt_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/Kdogs/dapt_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-darijabert_arabizi_ar.md b/docs/_posts/ahmedlone127/2023-09-13-darijabert_arabizi_ar.md
new file mode 100644
index 00000000000000..48a8755bfb50a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-darijabert_arabizi_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic darijabert_arabizi BertEmbeddings from SI2M-Lab
+author: John Snow Labs
+name: darijabert_arabizi
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`darijabert_arabizi` is a Arabic model originally trained by SI2M-Lab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/darijabert_arabizi_ar_5.1.1_3.0_1694564181705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/darijabert_arabizi_ar_5.1.1_3.0_1694564181705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("darijabert_arabizi","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("darijabert_arabizi", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|darijabert_arabizi|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|634.9 MB|
+
+## References
+
+https://huggingface.co/SI2M-Lab/DarijaBERT-arabizi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dbbert_el.md b/docs/_posts/ahmedlone127/2023-09-13-dbbert_el.md
new file mode 100644
index 00000000000000..64b4def3a1c89d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dbbert_el.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Modern Greek (1453-) dbbert BertEmbeddings from colinswaelens
+author: John Snow Labs
+name: dbbert
+date: 2023-09-13
+tags: [bert, el, open_source, fill_mask, onnx]
+task: Embeddings
+language: el
+edition: Spark NLP 5.1.1
+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.`dbbert` is a Modern Greek (1453-) model originally trained by colinswaelens.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbbert_el_5.1.1_3.0_1694581792538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbbert_el_5.1.1_3.0_1694581792538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dbbert","el") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dbbert", "el")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|el|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/colinswaelens/DBBErt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dictbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-dictbert_en.md
new file mode 100644
index 00000000000000..7fd09a811d9552
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dictbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dictbert BertEmbeddings from wyu1
+author: John Snow Labs
+name: dictbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dictbert` is a English model originally trained by wyu1.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dictbert_en_5.1.1_3.0_1694574371852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dictbert_en_5.1.1_3.0_1694574371852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dictbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dictbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dictbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/wyu1/DictBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-distil_biobert_en.md b/docs/_posts/ahmedlone127/2023-09-13-distil_biobert_en.md
new file mode 100644
index 00000000000000..e0a3a57abe0059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-distil_biobert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distil_biobert BertEmbeddings from nlpie
+author: John Snow Labs
+name: distil_biobert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`distil_biobert` is a English model originally trained by nlpie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_biobert_en_5.1.1_3.0_1694574845011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_biobert_en_5.1.1_3.0_1694574845011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("distil_biobert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("distil_biobert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_biobert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|244.4 MB|
+
+## References
+
+https://huggingface.co/nlpie/distil-biobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-domain_adapted_contriever_en.md b/docs/_posts/ahmedlone127/2023-09-13-domain_adapted_contriever_en.md
new file mode 100644
index 00000000000000..d1e06eeaea4573
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-domain_adapted_contriever_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English domain_adapted_contriever BertEmbeddings from secilozksen
+author: John Snow Labs
+name: domain_adapted_contriever
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`domain_adapted_contriever` is a English model originally trained by secilozksen.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/domain_adapted_contriever_en_5.1.1_3.0_1694567650087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/domain_adapted_contriever_en_5.1.1_3.0_1694567650087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("domain_adapted_contriever","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("domain_adapted_contriever", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|domain_adapted_contriever|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/secilozksen/domain-adapted-contriever
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dpr_catalan_passage_encoder_viquiquad_base_en.md b/docs/_posts/ahmedlone127/2023-09-13-dpr_catalan_passage_encoder_viquiquad_base_en.md
new file mode 100644
index 00000000000000..b53404b799c571
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dpr_catalan_passage_encoder_viquiquad_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dpr_catalan_passage_encoder_viquiquad_base BertEmbeddings from Koslav
+author: John Snow Labs
+name: dpr_catalan_passage_encoder_viquiquad_base
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dpr_catalan_passage_encoder_viquiquad_base` is a English model originally trained by Koslav.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dpr_catalan_passage_encoder_viquiquad_base_en_5.1.1_3.0_1694580713399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dpr_catalan_passage_encoder_viquiquad_base_en_5.1.1_3.0_1694580713399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dpr_catalan_passage_encoder_viquiquad_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dpr_catalan_passage_encoder_viquiquad_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dpr_catalan_passage_encoder_viquiquad_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Koslav/dpr-catalan-passage_encoder-viquiquad-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dpr_catalan_question_encoder_viquiquad_base_en.md b/docs/_posts/ahmedlone127/2023-09-13-dpr_catalan_question_encoder_viquiquad_base_en.md
new file mode 100644
index 00000000000000..546745425754ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dpr_catalan_question_encoder_viquiquad_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dpr_catalan_question_encoder_viquiquad_base BertEmbeddings from Koslav
+author: John Snow Labs
+name: dpr_catalan_question_encoder_viquiquad_base
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dpr_catalan_question_encoder_viquiquad_base` is a English model originally trained by Koslav.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dpr_catalan_question_encoder_viquiquad_base_en_5.1.1_3.0_1694579879042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dpr_catalan_question_encoder_viquiquad_base_en_5.1.1_3.0_1694579879042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dpr_catalan_question_encoder_viquiquad_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dpr_catalan_question_encoder_viquiquad_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dpr_catalan_question_encoder_viquiquad_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Koslav/dpr-catalan-question_encoder-viquiquad-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dragon_plus_context_encoder_en.md b/docs/_posts/ahmedlone127/2023-09-13-dragon_plus_context_encoder_en.md
new file mode 100644
index 00000000000000..1b1ccc964427bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dragon_plus_context_encoder_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dragon_plus_context_encoder BertEmbeddings from facebook
+author: John Snow Labs
+name: dragon_plus_context_encoder
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dragon_plus_context_encoder` is a English model originally trained by facebook.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dragon_plus_context_encoder_en_5.1.1_3.0_1694576995913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dragon_plus_context_encoder_en_5.1.1_3.0_1694576995913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dragon_plus_context_encoder","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dragon_plus_context_encoder", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dragon_plus_context_encoder|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/facebook/dragon-plus-context-encoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dragon_plus_query_encoder_en.md b/docs/_posts/ahmedlone127/2023-09-13-dragon_plus_query_encoder_en.md
new file mode 100644
index 00000000000000..fb4aea1535cc65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dragon_plus_query_encoder_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dragon_plus_query_encoder BertEmbeddings from facebook
+author: John Snow Labs
+name: dragon_plus_query_encoder
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dragon_plus_query_encoder` is a English model originally trained by facebook.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dragon_plus_query_encoder_en_5.1.1_3.0_1694576871066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dragon_plus_query_encoder_en_5.1.1_3.0_1694576871066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dragon_plus_query_encoder","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dragon_plus_query_encoder", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dragon_plus_query_encoder|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/facebook/dragon-plus-query-encoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dummy_model_aripo99_en.md b/docs/_posts/ahmedlone127/2023-09-13-dummy_model_aripo99_en.md
new file mode 100644
index 00000000000000..520d13d7a60b50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dummy_model_aripo99_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dummy_model_aripo99 BertEmbeddings from aripo99
+author: John Snow Labs
+name: dummy_model_aripo99
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dummy_model_aripo99` is a English model originally trained by aripo99.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_aripo99_en_5.1.1_3.0_1694581314642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_aripo99_en_5.1.1_3.0_1694581314642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dummy_model_aripo99","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dummy_model_aripo99", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_aripo99|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/aripo99/dummy_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dummy_prac_model_1_en.md b/docs/_posts/ahmedlone127/2023-09-13-dummy_prac_model_1_en.md
new file mode 100644
index 00000000000000..6c27cd0264995b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dummy_prac_model_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dummy_prac_model_1 BertEmbeddings from fayez94
+author: John Snow Labs
+name: dummy_prac_model_1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dummy_prac_model_1` is a English model originally trained by fayez94.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_prac_model_1_en_5.1.1_3.0_1694564301534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_prac_model_1_en_5.1.1_3.0_1694564301534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dummy_prac_model_1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dummy_prac_model_1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_prac_model_1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/fayez94/dummy_prac_model_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dummy_prac_model_en.md b/docs/_posts/ahmedlone127/2023-09-13-dummy_prac_model_en.md
new file mode 100644
index 00000000000000..85213af1c02129
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dummy_prac_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dummy_prac_model BertEmbeddings from fayez94
+author: John Snow Labs
+name: dummy_prac_model
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`dummy_prac_model` is a English model originally trained by fayez94.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_prac_model_en_5.1.1_3.0_1694564149966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_prac_model_en_5.1.1_3.0_1694564149966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dummy_prac_model","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dummy_prac_model", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_prac_model|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/fayez94/dummy_prac_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-dziribert_ar.md b/docs/_posts/ahmedlone127/2023-09-13-dziribert_ar.md
new file mode 100644
index 00000000000000..8b9d37ffceb42d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-dziribert_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic dziribert BertEmbeddings from alger-ia
+author: John Snow Labs
+name: dziribert
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`dziribert` is a Arabic model originally trained by alger-ia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dziribert_ar_5.1.1_3.0_1694578688485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dziribert_ar_5.1.1_3.0_1694578688485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("dziribert","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("dziribert", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dziribert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|462.5 MB|
+
+## References
+
+https://huggingface.co/alger-ia/dziribert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-e4a_covid_bert_base_romanian_cased_v1_en.md b/docs/_posts/ahmedlone127/2023-09-13-e4a_covid_bert_base_romanian_cased_v1_en.md
new file mode 100644
index 00000000000000..e993f7f2b6522b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-e4a_covid_bert_base_romanian_cased_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English e4a_covid_bert_base_romanian_cased_v1 BertEmbeddings from racai
+author: John Snow Labs
+name: e4a_covid_bert_base_romanian_cased_v1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`e4a_covid_bert_base_romanian_cased_v1` is a English model originally trained by racai.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e4a_covid_bert_base_romanian_cased_v1_en_5.1.1_3.0_1694580152465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e4a_covid_bert_base_romanian_cased_v1_en_5.1.1_3.0_1694580152465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("e4a_covid_bert_base_romanian_cased_v1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("e4a_covid_bert_base_romanian_cased_v1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e4a_covid_bert_base_romanian_cased_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/racai/e4a-covid-bert-base-romanian-cased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-e4a_permits_bert_base_romanian_cased_v1_en.md b/docs/_posts/ahmedlone127/2023-09-13-e4a_permits_bert_base_romanian_cased_v1_en.md
new file mode 100644
index 00000000000000..3560d137a409ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-e4a_permits_bert_base_romanian_cased_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English e4a_permits_bert_base_romanian_cased_v1 BertEmbeddings from racai
+author: John Snow Labs
+name: e4a_permits_bert_base_romanian_cased_v1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`e4a_permits_bert_base_romanian_cased_v1` is a English model originally trained by racai.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e4a_permits_bert_base_romanian_cased_v1_en_5.1.1_3.0_1694580307122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e4a_permits_bert_base_romanian_cased_v1_en_5.1.1_3.0_1694580307122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("e4a_permits_bert_base_romanian_cased_v1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("e4a_permits_bert_base_romanian_cased_v1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e4a_permits_bert_base_romanian_cased_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/racai/e4a-permits-bert-base-romanian-cased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-ecomm_sbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-ecomm_sbert_en.md
new file mode 100644
index 00000000000000..b8cb1125cb7fad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-ecomm_sbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ecomm_sbert BertEmbeddings from Maunish
+author: John Snow Labs
+name: ecomm_sbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ecomm_sbert` is a English model originally trained by Maunish.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecomm_sbert_en_5.1.1_3.0_1694567607524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecomm_sbert_en_5.1.1_3.0_1694567607524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ecomm_sbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ecomm_sbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ecomm_sbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|84.6 MB|
+
+## References
+
+https://huggingface.co/Maunish/ecomm-sbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-energybert_en.md b/docs/_posts/ahmedlone127/2023-09-13-energybert_en.md
new file mode 100644
index 00000000000000..2c3804620bf30c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-energybert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English energybert BertEmbeddings from UNSW-MasterAI
+author: John Snow Labs
+name: energybert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`energybert` is a English model originally trained by UNSW-MasterAI.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/energybert_en_5.1.1_3.0_1694577639489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/energybert_en_5.1.1_3.0_1694577639489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("energybert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("energybert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|energybert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/UNSW-MasterAI/EnergyBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-ern3_en.md b/docs/_posts/ahmedlone127/2023-09-13-ern3_en.md
new file mode 100644
index 00000000000000..d3a2d264656ffe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-ern3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ern3 BertEmbeddings from linyi
+author: John Snow Labs
+name: ern3
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`ern3` is a English model originally trained by linyi.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ern3_en_5.1.1_3.0_1694582155435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ern3_en_5.1.1_3.0_1694582155435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("ern3","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("ern3", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ern3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|440.8 MB|
+
+## References
+
+https://huggingface.co/linyi/ern3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-esci_mlm_alllang_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-esci_mlm_alllang_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..dc0421d1284e58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-esci_mlm_alllang_bert_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English esci_mlm_alllang_bert_base_uncased BertEmbeddings from spacemanidol
+author: John Snow Labs
+name: esci_mlm_alllang_bert_base_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`esci_mlm_alllang_bert_base_uncased` is a English model originally trained by spacemanidol.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esci_mlm_alllang_bert_base_uncased_en_5.1.1_3.0_1694576764282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esci_mlm_alllang_bert_base_uncased_en_5.1.1_3.0_1694576764282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("esci_mlm_alllang_bert_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("esci_mlm_alllang_bert_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esci_mlm_alllang_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/spacemanidol/esci-mlm-alllang-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-estbert_512_et.md b/docs/_posts/ahmedlone127/2023-09-13-estbert_512_et.md
new file mode 100644
index 00000000000000..58c6c881cb2ace
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-estbert_512_et.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Estonian estbert_512 BertEmbeddings from tartuNLP
+author: John Snow Labs
+name: estbert_512
+date: 2023-09-13
+tags: [bert, et, open_source, fill_mask, onnx]
+task: Embeddings
+language: et
+edition: Spark NLP 5.1.1
+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.`estbert_512` is a Estonian model originally trained by tartuNLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/estbert_512_et_5.1.1_3.0_1694576625464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/estbert_512_et_5.1.1_3.0_1694576625464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("estbert_512","et") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("estbert_512", "et")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|estbert_512|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|et|
+|Size:|463.4 MB|
+
+## References
+
+https://huggingface.co/tartuNLP/EstBERT_512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-estbert_et.md b/docs/_posts/ahmedlone127/2023-09-13-estbert_et.md
new file mode 100644
index 00000000000000..170d8aafd0938f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-estbert_et.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Estonian estbert BertEmbeddings from tartuNLP
+author: John Snow Labs
+name: estbert
+date: 2023-09-13
+tags: [bert, et, open_source, fill_mask, onnx]
+task: Embeddings
+language: et
+edition: Spark NLP 5.1.1
+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.`estbert` is a Estonian model originally trained by tartuNLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/estbert_et_5.1.1_3.0_1694576444603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/estbert_et_5.1.1_3.0_1694576444603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("estbert","et") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("estbert", "et")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|estbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|et|
+|Size:|463.4 MB|
+
+## References
+
+https://huggingface.co/tartuNLP/EstBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-evalconvqa_bert_en.md b/docs/_posts/ahmedlone127/2023-09-13-evalconvqa_bert_en.md
new file mode 100644
index 00000000000000..57fc7a4aea9d94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-evalconvqa_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English evalconvqa_bert BertEmbeddings from princeton-nlp
+author: John Snow Labs
+name: evalconvqa_bert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`evalconvqa_bert` is a English model originally trained by princeton-nlp.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/evalconvqa_bert_en_5.1.1_3.0_1694565341212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/evalconvqa_bert_en_5.1.1_3.0_1694565341212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("evalconvqa_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("evalconvqa_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|evalconvqa_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/princeton-nlp/EvalConvQA_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-financialbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-financialbert_en.md
new file mode 100644
index 00000000000000..edd59bfd4bb5af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-financialbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English financialbert BertEmbeddings from ahmedrachid
+author: John Snow Labs
+name: financialbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`financialbert` is a English model originally trained by ahmedrachid.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financialbert_en_5.1.1_3.0_1694577402809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financialbert_en_5.1.1_3.0_1694577402809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("financialbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("financialbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financialbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ahmedrachid/FinancialBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-first_model_en.md b/docs/_posts/ahmedlone127/2023-09-13-first_model_en.md
new file mode 100644
index 00000000000000..b22012612473b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-first_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English first_model BertEmbeddings from songqian
+author: John Snow Labs
+name: first_model
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`first_model` is a English model originally trained by songqian.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/first_model_en_5.1.1_3.0_1694575037544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/first_model_en_5.1.1_3.0_1694575037544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("first_model","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("first_model", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|first_model|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/songqian/first_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-further_train_original_10_en.md b/docs/_posts/ahmedlone127/2023-09-13-further_train_original_10_en.md
new file mode 100644
index 00000000000000..fbad8893e69a78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-further_train_original_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English further_train_original_10 BertEmbeddings from onlydj96
+author: John Snow Labs
+name: further_train_original_10
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`further_train_original_10` is a English model originally trained by onlydj96.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/further_train_original_10_en_5.1.1_3.0_1694588052671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/further_train_original_10_en_5.1.1_3.0_1694588052671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("further_train_original_10","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("further_train_original_10", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|further_train_original_10|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|441.2 MB|
+
+## References
+
+https://huggingface.co/onlydj96/further_train_original_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-german_bert_base_german_cased_finetuned_en.md b/docs/_posts/ahmedlone127/2023-09-13-german_bert_base_german_cased_finetuned_en.md
new file mode 100644
index 00000000000000..8f88cccaac2903
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-german_bert_base_german_cased_finetuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English german_bert_base_german_cased_finetuned BertEmbeddings from rodrigotuna
+author: John Snow Labs
+name: german_bert_base_german_cased_finetuned
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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_bert_base_german_cased_finetuned` is a English model originally trained by rodrigotuna.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_bert_base_german_cased_finetuned_en_5.1.1_3.0_1694565721535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_bert_base_german_cased_finetuned_en_5.1.1_3.0_1694565721535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("german_bert_base_german_cased_finetuned","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("german_bert_base_german_cased_finetuned", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_bert_base_german_cased_finetuned|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/rodrigotuna/de-bert-base-german-cased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-german_medbert_de.md b/docs/_posts/ahmedlone127/2023-09-13-german_medbert_de.md
new file mode 100644
index 00000000000000..2613b3e2831b95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-german_medbert_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German german_medbert BertEmbeddings from smanjil
+author: John Snow Labs
+name: german_medbert
+date: 2023-09-13
+tags: [bert, de, open_source, fill_mask, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.1.1
+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_medbert` is a German model originally trained by smanjil.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_medbert_de_5.1.1_3.0_1694574616438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_medbert_de_5.1.1_3.0_1694574616438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("german_medbert","de") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("german_medbert", "de")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_medbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/smanjil/German-MedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-gujibert_fan_en.md b/docs/_posts/ahmedlone127/2023-09-13-gujibert_fan_en.md
new file mode 100644
index 00000000000000..974ed93ec27adc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-gujibert_fan_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English gujibert_fan BertEmbeddings from hsc748NLP
+author: John Snow Labs
+name: gujibert_fan
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`gujibert_fan` is a English model originally trained by hsc748NLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gujibert_fan_en_5.1.1_3.0_1694564628936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gujibert_fan_en_5.1.1_3.0_1694564628936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("gujibert_fan","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("gujibert_fan", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gujibert_fan|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|420.2 MB|
+
+## References
+
+https://huggingface.co/hsc748NLP/GujiBERT_fan
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hebert_en.md b/docs/_posts/ahmedlone127/2023-09-13-hebert_en.md
new file mode 100644
index 00000000000000..c005513098f274
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hebert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hebert BertEmbeddings from avichr
+author: John Snow Labs
+name: hebert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hebert` is a English model originally trained by avichr.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebert_en_5.1.1_3.0_1694584681748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebert_en_5.1.1_3.0_1694584681748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hebert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hebert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/avichr/heBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_en.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_en.md
new file mode 100644
index 00000000000000..562516ed5fe44a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hindi_bert BertEmbeddings from sukritin
+author: John Snow Labs
+name: hindi_bert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`hindi_bert` is a English model originally trained by sukritin.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_bert_en_5.1.1_3.0_1694575763223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_bert_en_5.1.1_3.0_1694575763223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|609.2 MB|
+
+## References
+
+https://huggingface.co/sukritin/hindi-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_scratch_hi.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_scratch_hi.md
new file mode 100644
index 00000000000000..a6f3495e42142e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_scratch_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi hindi_bert_scratch BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: hindi_bert_scratch
+date: 2023-09-13
+tags: [bert, hi, open_source, fill_mask, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.1.1
+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.`hindi_bert_scratch` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_bert_scratch_hi_5.1.1_3.0_1694579566926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_bert_scratch_hi_5.1.1_3.0_1694579566926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_bert_scratch","hi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_bert_scratch", "hi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_bert_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|470.6 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-bert-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_v1_hi.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_v1_hi.md
new file mode 100644
index 00000000000000..3389947f94522e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_bert_v1_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi hindi_bert_v1 BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: hindi_bert_v1
+date: 2023-09-13
+tags: [bert, hi, open_source, fill_mask, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.1.1
+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.`hindi_bert_v1` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_bert_v1_hi_5.1.1_3.0_1694575771399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_bert_v1_hi_5.1.1_3.0_1694575771399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_bert_v1","hi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_bert_v1", "hi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_bert_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|663.8 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-bert-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_least_haitian_1m_hi.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_least_haitian_1m_hi.md
new file mode 100644
index 00000000000000..da1c809c5ea558
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_least_haitian_1m_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi hindi_least_haitian_1m BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: hindi_least_haitian_1m
+date: 2023-09-13
+tags: [bert, hi, open_source, fill_mask, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.1.1
+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.`hindi_least_haitian_1m` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_least_haitian_1m_hi_5.1.1_3.0_1694584509062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_least_haitian_1m_hi_5.1.1_3.0_1694584509062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_least_haitian_1m","hi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_least_haitian_1m", "hi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_least_haitian_1m|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|890.6 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hi-least-ht-1m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_marathi_dev_bert_hi.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_marathi_dev_bert_hi.md
new file mode 100644
index 00000000000000..9e3e31dd3ed22f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_marathi_dev_bert_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi hindi_marathi_dev_bert BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: hindi_marathi_dev_bert
+date: 2023-09-13
+tags: [bert, hi, open_source, fill_mask, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.1.1
+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.`hindi_marathi_dev_bert` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_marathi_dev_bert_hi_5.1.1_3.0_1694576361222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_marathi_dev_bert_hi_5.1.1_3.0_1694576361222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_marathi_dev_bert","hi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_marathi_dev_bert", "hi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_marathi_dev_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|890.6 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-marathi-dev-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_marathi_dev_bert_scratch_hi.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_marathi_dev_bert_scratch_hi.md
new file mode 100644
index 00000000000000..05db5ed8b72c67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_marathi_dev_bert_scratch_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi hindi_marathi_dev_bert_scratch BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: hindi_marathi_dev_bert_scratch
+date: 2023-09-13
+tags: [bert, hi, open_source, fill_mask, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.1.1
+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.`hindi_marathi_dev_bert_scratch` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_marathi_dev_bert_scratch_hi_5.1.1_3.0_1694579727628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_marathi_dev_bert_scratch_hi_5.1.1_3.0_1694579727628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_marathi_dev_bert_scratch","hi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_marathi_dev_bert_scratch", "hi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_marathi_dev_bert_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-marathi-dev-bert-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_tweets_bert_hateful_hi.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_tweets_bert_hateful_hi.md
new file mode 100644
index 00000000000000..da69bfdddb0cb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_tweets_bert_hateful_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi hindi_tweets_bert_hateful BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: hindi_tweets_bert_hateful
+date: 2023-09-13
+tags: [bert, hi, open_source, fill_mask, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.1.1
+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.`hindi_tweets_bert_hateful` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_tweets_bert_hateful_hi_5.1.1_3.0_1694584250203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_tweets_bert_hateful_hi_5.1.1_3.0_1694584250203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_tweets_bert_hateful","hi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_tweets_bert_hateful", "hi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_tweets_bert_hateful|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|890.6 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-tweets-bert-hateful
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-hindi_tweets_bert_hi.md b/docs/_posts/ahmedlone127/2023-09-13-hindi_tweets_bert_hi.md
new file mode 100644
index 00000000000000..e059fc94d31bb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-hindi_tweets_bert_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi hindi_tweets_bert BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: hindi_tweets_bert
+date: 2023-09-13
+tags: [bert, hi, open_source, fill_mask, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.1.1
+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.`hindi_tweets_bert` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_tweets_bert_hi_5.1.1_3.0_1694581273510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_tweets_bert_hi_5.1.1_3.0_1694581273510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("hindi_tweets_bert","hi") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("hindi_tweets_bert", "hi")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_tweets_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|890.7 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-tweets-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-improvedabg_20_epochs_en.md b/docs/_posts/ahmedlone127/2023-09-13-improvedabg_20_epochs_en.md
new file mode 100644
index 00000000000000..0b353761ff19b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-improvedabg_20_epochs_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English improvedabg_20_epochs BertEmbeddings from Embible
+author: John Snow Labs
+name: improvedabg_20_epochs
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`improvedabg_20_epochs` is a English model originally trained by Embible.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/improvedabg_20_epochs_en_5.1.1_3.0_1694563461257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/improvedabg_20_epochs_en_5.1.1_3.0_1694563461257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("improvedabg_20_epochs","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("improvedabg_20_epochs", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|improvedabg_20_epochs|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|689.6 MB|
+
+## References
+
+https://huggingface.co/Embible/improvedABG-20-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-improvedabg_50_epochs_en.md b/docs/_posts/ahmedlone127/2023-09-13-improvedabg_50_epochs_en.md
new file mode 100644
index 00000000000000..7198fd3847eb15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-improvedabg_50_epochs_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English improvedabg_50_epochs BertEmbeddings from Embible
+author: John Snow Labs
+name: improvedabg_50_epochs
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`improvedabg_50_epochs` is a English model originally trained by Embible.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/improvedabg_50_epochs_en_5.1.1_3.0_1694563658734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/improvedabg_50_epochs_en_5.1.1_3.0_1694563658734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("improvedabg_50_epochs","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("improvedabg_50_epochs", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|improvedabg_50_epochs|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|689.4 MB|
+
+## References
+
+https://huggingface.co/Embible/improvedABG-50-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-inlegalbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-inlegalbert_en.md
new file mode 100644
index 00000000000000..e589b3dc1280a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-inlegalbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English inlegalbert BertEmbeddings from law-ai
+author: John Snow Labs
+name: inlegalbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`inlegalbert` is a English model originally trained by law-ai.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inlegalbert_en_5.1.1_3.0_1694582770345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inlegalbert_en_5.1.1_3.0_1694582770345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("inlegalbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("inlegalbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inlegalbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/law-ai/InLegalBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-javanese_bert_small_imdb_jv.md b/docs/_posts/ahmedlone127/2023-09-13-javanese_bert_small_imdb_jv.md
new file mode 100644
index 00000000000000..498e4e60dc789f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-javanese_bert_small_imdb_jv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Javanese javanese_bert_small_imdb BertEmbeddings from w11wo
+author: John Snow Labs
+name: javanese_bert_small_imdb
+date: 2023-09-13
+tags: [bert, jv, open_source, fill_mask, onnx]
+task: Embeddings
+language: jv
+edition: Spark NLP 5.1.1
+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.`javanese_bert_small_imdb` is a Javanese model originally trained by w11wo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/javanese_bert_small_imdb_jv_5.1.1_3.0_1694582477865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/javanese_bert_small_imdb_jv_5.1.1_3.0_1694582477865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("javanese_bert_small_imdb","jv") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("javanese_bert_small_imdb", "jv")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|javanese_bert_small_imdb|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|jv|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/w11wo/javanese-bert-small-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-kazakhbertmulti_kk.md b/docs/_posts/ahmedlone127/2023-09-13-kazakhbertmulti_kk.md
new file mode 100644
index 00000000000000..d19355b01557e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-kazakhbertmulti_kk.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Kazakh kazakhbertmulti BertEmbeddings from amandyk
+author: John Snow Labs
+name: kazakhbertmulti
+date: 2023-09-13
+tags: [bert, kk, open_source, fill_mask, onnx]
+task: Embeddings
+language: kk
+edition: Spark NLP 5.1.1
+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.`kazakhbertmulti` is a Kazakh model originally trained by amandyk.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kazakhbertmulti_kk_5.1.1_3.0_1694567001040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kazakhbertmulti_kk_5.1.1_3.0_1694567001040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kazakhbertmulti","kk") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kazakhbertmulti", "kk")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kazakhbertmulti|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|kk|
+|Size:|609.9 MB|
+
+## References
+
+https://huggingface.co/amandyk/KazakhBERTmulti
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-kcbert_base_dev_en.md b/docs/_posts/ahmedlone127/2023-09-13-kcbert_base_dev_en.md
new file mode 100644
index 00000000000000..e8fc285327efa2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-kcbert_base_dev_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kcbert_base_dev BertEmbeddings from beomi
+author: John Snow Labs
+name: kcbert_base_dev
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kcbert_base_dev` is a English model originally trained by beomi.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kcbert_base_dev_en_5.1.1_3.0_1694586571113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kcbert_base_dev_en_5.1.1_3.0_1694586571113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kcbert_base_dev","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kcbert_base_dev", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kcbert_base_dev|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.3 MB|
+
+## References
+
+https://huggingface.co/beomi/kcbert-base-dev
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-kcbert_base_petition_en.md b/docs/_posts/ahmedlone127/2023-09-13-kcbert_base_petition_en.md
new file mode 100644
index 00000000000000..e3dfe66d543d72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-kcbert_base_petition_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kcbert_base_petition BertEmbeddings from Kyoungmin
+author: John Snow Labs
+name: kcbert_base_petition
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kcbert_base_petition` is a English model originally trained by Kyoungmin.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kcbert_base_petition_en_5.1.1_3.0_1694565357198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kcbert_base_petition_en_5.1.1_3.0_1694565357198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kcbert_base_petition","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kcbert_base_petition", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kcbert_base_petition|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.2 MB|
+
+## References
+
+https://huggingface.co/Kyoungmin/kcbert-base-petition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-kcbert_large_dev_en.md b/docs/_posts/ahmedlone127/2023-09-13-kcbert_large_dev_en.md
new file mode 100644
index 00000000000000..3231fe67c06f5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-kcbert_large_dev_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kcbert_large_dev BertEmbeddings from beomi
+author: John Snow Labs
+name: kcbert_large_dev
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kcbert_large_dev` is a English model originally trained by beomi.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kcbert_large_dev_en_5.1.1_3.0_1694587013172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kcbert_large_dev_en_5.1.1_3.0_1694587013172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kcbert_large_dev","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kcbert_large_dev", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kcbert_large_dev|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/beomi/kcbert-large-dev
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-kcbert_large_en.md b/docs/_posts/ahmedlone127/2023-09-13-kcbert_large_en.md
new file mode 100644
index 00000000000000..4750d48d788aef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-kcbert_large_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kcbert_large BertEmbeddings from beomi
+author: John Snow Labs
+name: kcbert_large
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kcbert_large` is a English model originally trained by beomi.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kcbert_large_en_5.1.1_3.0_1694587353127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kcbert_large_en_5.1.1_3.0_1694587353127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kcbert_large","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kcbert_large", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kcbert_large|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/beomi/kcbert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-kcbert_mlm_finetune_en.md b/docs/_posts/ahmedlone127/2023-09-13-kcbert_mlm_finetune_en.md
new file mode 100644
index 00000000000000..ab9f10ea0b1bb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-kcbert_mlm_finetune_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kcbert_mlm_finetune BertEmbeddings from stresscaptor
+author: John Snow Labs
+name: kcbert_mlm_finetune
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kcbert_mlm_finetune` is a English model originally trained by stresscaptor.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kcbert_mlm_finetune_en_5.1.1_3.0_1694567744835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kcbert_mlm_finetune_en_5.1.1_3.0_1694567744835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kcbert_mlm_finetune","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kcbert_mlm_finetune", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kcbert_mlm_finetune|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/stresscaptor/kcbert-mlm-finetune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-kpfbert_base_en.md b/docs/_posts/ahmedlone127/2023-09-13-kpfbert_base_en.md
new file mode 100644
index 00000000000000..5f84ee9050008c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-kpfbert_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kpfbert_base BertEmbeddings from yunaissance
+author: John Snow Labs
+name: kpfbert_base
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`kpfbert_base` is a English model originally trained by yunaissance.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kpfbert_base_en_5.1.1_3.0_1694584038349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kpfbert_base_en_5.1.1_3.0_1694584038349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("kpfbert_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("kpfbert_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kpfbert_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|425.1 MB|
+
+## References
+
+https://huggingface.co/yunaissance/kpfbert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-labse_english_russian_erzya_v1_ru.md b/docs/_posts/ahmedlone127/2023-09-13-labse_english_russian_erzya_v1_ru.md
new file mode 100644
index 00000000000000..f3fb0cffb9aa05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-labse_english_russian_erzya_v1_ru.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Russian labse_english_russian_erzya_v1 BertEmbeddings from slone
+author: John Snow Labs
+name: labse_english_russian_erzya_v1
+date: 2023-09-13
+tags: [bert, ru, open_source, fill_mask, onnx]
+task: Embeddings
+language: ru
+edition: Spark NLP 5.1.1
+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.`labse_english_russian_erzya_v1` is a Russian model originally trained by slone.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/labse_english_russian_erzya_v1_ru_5.1.1_3.0_1694583966275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/labse_english_russian_erzya_v1_ru_5.1.1_3.0_1694583966275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("labse_english_russian_erzya_v1","ru") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("labse_english_russian_erzya_v1", "ru")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|labse_english_russian_erzya_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ru|
+|Size:|535.5 MB|
+
+## References
+
+https://huggingface.co/slone/LaBSE-en-ru-myv-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-legal_bert_base_uncased_finetuned_rramicus_en.md b/docs/_posts/ahmedlone127/2023-09-13-legal_bert_base_uncased_finetuned_rramicus_en.md
new file mode 100644
index 00000000000000..29fa712a5d4e73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-legal_bert_base_uncased_finetuned_rramicus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English legal_bert_base_uncased_finetuned_rramicus BertEmbeddings from repro-rights-amicus-briefs
+author: John Snow Labs
+name: legal_bert_base_uncased_finetuned_rramicus
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`legal_bert_base_uncased_finetuned_rramicus` is a English model originally trained by repro-rights-amicus-briefs.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_bert_base_uncased_finetuned_rramicus_en_5.1.1_3.0_1694567706023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_bert_base_uncased_finetuned_rramicus_en_5.1.1_3.0_1694567706023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("legal_bert_base_uncased_finetuned_rramicus","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("legal_bert_base_uncased_finetuned_rramicus", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_bert_base_uncased_finetuned_rramicus|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/repro-rights-amicus-briefs/legal-bert-base-uncased-finetuned-RRamicus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-legalbert_adept_en.md b/docs/_posts/ahmedlone127/2023-09-13-legalbert_adept_en.md
new file mode 100644
index 00000000000000..30fc217e2ac076
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-legalbert_adept_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English legalbert_adept BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: legalbert_adept
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`legalbert_adept` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalbert_adept_en_5.1.1_3.0_1694567799021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalbert_adept_en_5.1.1_3.0_1694567799021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("legalbert_adept","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("legalbert_adept", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalbert_adept|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/legalbert-adept
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-legalnlp_bert_pt.md b/docs/_posts/ahmedlone127/2023-09-13-legalnlp_bert_pt.md
new file mode 100644
index 00000000000000..ac59b8243b994d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-legalnlp_bert_pt.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Portuguese legalnlp_bert BertEmbeddings from felipemaiapolo
+author: John Snow Labs
+name: legalnlp_bert
+date: 2023-09-13
+tags: [bert, pt, open_source, fill_mask, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.1.1
+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.`legalnlp_bert` is a Portuguese model originally trained by felipemaiapolo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalnlp_bert_pt_5.1.1_3.0_1694580772789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalnlp_bert_pt_5.1.1_3.0_1694580772789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("legalnlp_bert","pt") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("legalnlp_bert", "pt")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalnlp_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|405.8 MB|
+
+## References
+
+https://huggingface.co/felipemaiapolo/legalnlp-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-lesssexistbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-lesssexistbert_en.md
new file mode 100644
index 00000000000000..b24b0324e69c1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-lesssexistbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English lesssexistbert BertEmbeddings from clincolnoz
+author: John Snow Labs
+name: lesssexistbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`lesssexistbert` is a English model originally trained by clincolnoz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lesssexistbert_en_5.1.1_3.0_1694578655498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lesssexistbert_en_5.1.1_3.0_1694578655498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("lesssexistbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("lesssexistbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lesssexistbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/clincolnoz/LessSexistBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-lsg_bert_base_uncased_4096_en.md b/docs/_posts/ahmedlone127/2023-09-13-lsg_bert_base_uncased_4096_en.md
new file mode 100644
index 00000000000000..1645fb87513f11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-lsg_bert_base_uncased_4096_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English lsg_bert_base_uncased_4096 BertEmbeddings from ccdv
+author: John Snow Labs
+name: lsg_bert_base_uncased_4096
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`lsg_bert_base_uncased_4096` is a English model originally trained by ccdv.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lsg_bert_base_uncased_4096_en_5.1.1_3.0_1694564185857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lsg_bert_base_uncased_4096_en_5.1.1_3.0_1694564185857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("lsg_bert_base_uncased_4096","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("lsg_bert_base_uncased_4096", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lsg_bert_base_uncased_4096|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|417.5 MB|
+
+## References
+
+https://huggingface.co/ccdv/lsg-bert-base-uncased-4096
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mabepa_sts_es.md b/docs/_posts/ahmedlone127/2023-09-13-mabepa_sts_es.md
new file mode 100644
index 00000000000000..46fd6e911ad2a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mabepa_sts_es.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Castilian, Spanish mabepa_sts BertEmbeddings from Brendar
+author: John Snow Labs
+name: mabepa_sts
+date: 2023-09-13
+tags: [bert, es, open_source, fill_mask, onnx]
+task: Embeddings
+language: es
+edition: Spark NLP 5.1.1
+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.`mabepa_sts` is a Castilian, Spanish model originally trained by Brendar.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mabepa_sts_es_5.1.1_3.0_1694584433265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mabepa_sts_es_5.1.1_3.0_1694584433265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mabepa_sts","es") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mabepa_sts", "es")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mabepa_sts|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Brendar/MaBePa_STS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-malay_bert_en.md b/docs/_posts/ahmedlone127/2023-09-13-malay_bert_en.md
new file mode 100644
index 00000000000000..b8a4aa84b861b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-malay_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English malay_bert BertEmbeddings from NLP4H
+author: John Snow Labs
+name: malay_bert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`malay_bert` is a English model originally trained by NLP4H.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_bert_en_5.1.1_3.0_1694568227304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_bert_en_5.1.1_3.0_1694568227304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("malay_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("malay_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/NLP4H/ms_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-marathi_bert_scratch_mr.md b/docs/_posts/ahmedlone127/2023-09-13-marathi_bert_scratch_mr.md
new file mode 100644
index 00000000000000..5de0ded2a4897b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-marathi_bert_scratch_mr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Marathi marathi_bert_scratch BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: marathi_bert_scratch
+date: 2023-09-13
+tags: [bert, mr, open_source, fill_mask, onnx]
+task: Embeddings
+language: mr
+edition: Spark NLP 5.1.1
+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.`marathi_bert_scratch` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_bert_scratch_mr_5.1.1_3.0_1694579363809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_bert_scratch_mr_5.1.1_3.0_1694579363809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("marathi_bert_scratch","mr") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("marathi_bert_scratch", "mr")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_bert_scratch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|mr|
+|Size:|470.3 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-bert-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-marathi_tweets_bert_hateful_mr.md b/docs/_posts/ahmedlone127/2023-09-13-marathi_tweets_bert_hateful_mr.md
new file mode 100644
index 00000000000000..0be66bec861ee8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-marathi_tweets_bert_hateful_mr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Marathi marathi_tweets_bert_hateful BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: marathi_tweets_bert_hateful
+date: 2023-09-13
+tags: [bert, mr, open_source, fill_mask, onnx]
+task: Embeddings
+language: mr
+edition: Spark NLP 5.1.1
+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.`marathi_tweets_bert_hateful` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_tweets_bert_hateful_mr_5.1.1_3.0_1694578089840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_tweets_bert_hateful_mr_5.1.1_3.0_1694578089840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("marathi_tweets_bert_hateful","mr") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("marathi_tweets_bert_hateful", "mr")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_tweets_bert_hateful|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|mr|
+|Size:|890.7 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-tweets-bert-hateful
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-marathi_tweets_bert_mr.md b/docs/_posts/ahmedlone127/2023-09-13-marathi_tweets_bert_mr.md
new file mode 100644
index 00000000000000..018c729848ea80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-marathi_tweets_bert_mr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Marathi marathi_tweets_bert BertEmbeddings from l3cube-pune
+author: John Snow Labs
+name: marathi_tweets_bert
+date: 2023-09-13
+tags: [bert, mr, open_source, fill_mask, onnx]
+task: Embeddings
+language: mr
+edition: Spark NLP 5.1.1
+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.`marathi_tweets_bert` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_tweets_bert_mr_5.1.1_3.0_1694576608611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_tweets_bert_mr_5.1.1_3.0_1694576608611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("marathi_tweets_bert","mr") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("marathi_tweets_bert", "mr")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_tweets_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|mr|
+|Size:|890.6 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-tweets-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-marbert_adept_en.md b/docs/_posts/ahmedlone127/2023-09-13-marbert_adept_en.md
new file mode 100644
index 00000000000000..a944df7dd957a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-marbert_adept_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English marbert_adept BertEmbeddings from hatemestinbejaia
+author: John Snow Labs
+name: marbert_adept
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`marbert_adept` is a English model originally trained by hatemestinbejaia.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marbert_adept_en_5.1.1_3.0_1694570997383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marbert_adept_en_5.1.1_3.0_1694570997383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("marbert_adept","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("marbert_adept", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marbert_adept|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.7 MB|
+
+## References
+
+https://huggingface.co/hatemestinbejaia/MARBERT-adept
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-marbert_ar.md b/docs/_posts/ahmedlone127/2023-09-13-marbert_ar.md
new file mode 100644
index 00000000000000..1fd0a24bafa01c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-marbert_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic marbert BertEmbeddings from UBC-NLP
+author: John Snow Labs
+name: marbert
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`marbert` is a Arabic model originally trained by UBC-NLP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marbert_ar_5.1.1_3.0_1694573980919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marbert_ar_5.1.1_3.0_1694573980919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("marbert","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("marbert", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/UBC-NLP/MARBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mathbert_custom_en.md b/docs/_posts/ahmedlone127/2023-09-13-mathbert_custom_en.md
new file mode 100644
index 00000000000000..54ba238f87fdf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mathbert_custom_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mathbert_custom BertEmbeddings from tbs17
+author: John Snow Labs
+name: mathbert_custom
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mathbert_custom` is a English model originally trained by tbs17.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mathbert_custom_en_5.1.1_3.0_1694576775346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mathbert_custom_en_5.1.1_3.0_1694576775346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mathbert_custom","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mathbert_custom", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mathbert_custom|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/tbs17/MathBERT-custom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mbert_finetuned_pytorch_en.md b/docs/_posts/ahmedlone127/2023-09-13-mbert_finetuned_pytorch_en.md
new file mode 100644
index 00000000000000..063c04f6f55d97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mbert_finetuned_pytorch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_finetuned_pytorch BertEmbeddings from fimu-docproc-research
+author: John Snow Labs
+name: mbert_finetuned_pytorch
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbert_finetuned_pytorch` is a English model originally trained by fimu-docproc-research.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_finetuned_pytorch_en_5.1.1_3.0_1694583639590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_finetuned_pytorch_en_5.1.1_3.0_1694583639590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbert_finetuned_pytorch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbert_finetuned_pytorch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_finetuned_pytorch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/fimu-docproc-research/mbert-finetuned-pytorch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mbertu_arabic_en.md b/docs/_posts/ahmedlone127/2023-09-13-mbertu_arabic_en.md
new file mode 100644
index 00000000000000..34acc71ebced77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mbertu_arabic_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbertu_arabic BertEmbeddings from Zappandy
+author: John Snow Labs
+name: mbertu_arabic
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mbertu_arabic` is a English model originally trained by Zappandy.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbertu_arabic_en_5.1.1_3.0_1694576350158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbertu_arabic_en_5.1.1_3.0_1694576350158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mbertu_arabic","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mbertu_arabic", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbertu_arabic|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.5 MB|
+
+## References
+
+https://huggingface.co/Zappandy/mBERTu-arabic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-minialbert_128_en.md b/docs/_posts/ahmedlone127/2023-09-13-minialbert_128_en.md
new file mode 100644
index 00000000000000..9947e5777491b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-minialbert_128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English minialbert_128 BertEmbeddings from nlpie
+author: John Snow Labs
+name: minialbert_128
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`minialbert_128` is a English model originally trained by nlpie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minialbert_128_en_5.1.1_3.0_1694567917349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minialbert_128_en_5.1.1_3.0_1694567917349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("minialbert_128","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("minialbert_128", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minialbert_128|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|248.0 MB|
+
+## References
+
+https://huggingface.co/nlpie/miniALBERT-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mlm_gh_issues_en.md b/docs/_posts/ahmedlone127/2023-09-13-mlm_gh_issues_en.md
new file mode 100644
index 00000000000000..a9ed8a4ce17be7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mlm_gh_issues_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mlm_gh_issues BertEmbeddings from ericntay
+author: John Snow Labs
+name: mlm_gh_issues
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mlm_gh_issues` is a English model originally trained by ericntay.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_gh_issues_en_5.1.1_3.0_1694577513579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_gh_issues_en_5.1.1_3.0_1694577513579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mlm_gh_issues","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mlm_gh_issues", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_gh_issues|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ericntay/mlm_gh_issues
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-model_65000_20ep_en.md b/docs/_posts/ahmedlone127/2023-09-13-model_65000_20ep_en.md
new file mode 100644
index 00000000000000..1ab4e5fa53572f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-model_65000_20ep_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English model_65000_20ep BertEmbeddings from sergiyvl
+author: John Snow Labs
+name: model_65000_20ep
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`model_65000_20ep` is a English model originally trained by sergiyvl.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_65000_20ep_en_5.1.1_3.0_1694573722433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_65000_20ep_en_5.1.1_3.0_1694573722433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("model_65000_20ep","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("model_65000_20ep", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_65000_20ep|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.5 MB|
+
+## References
+
+https://huggingface.co/sergiyvl/model_65000_20ep
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-model_ankai_en.md b/docs/_posts/ahmedlone127/2023-09-13-model_ankai_en.md
new file mode 100644
index 00000000000000..0474e5a33c124b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-model_ankai_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English model_ankai BertEmbeddings from wudi7758521521
+author: John Snow Labs
+name: model_ankai
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`model_ankai` is a English model originally trained by wudi7758521521.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_ankai_en_5.1.1_3.0_1694586066096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_ankai_en_5.1.1_3.0_1694586066096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("model_ankai","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("model_ankai", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_ankai|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/wudi7758521521/model_ankai
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-model_bangla_bert_en.md b/docs/_posts/ahmedlone127/2023-09-13-model_bangla_bert_en.md
new file mode 100644
index 00000000000000..29a3dc0f14d069
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-model_bangla_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English model_bangla_bert BertEmbeddings from Kowsher
+author: John Snow Labs
+name: model_bangla_bert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`model_bangla_bert` is a English model originally trained by Kowsher.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_bangla_bert_en_5.1.1_3.0_1694565028072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_bangla_bert_en_5.1.1_3.0_1694565028072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("model_bangla_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("model_bangla_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_bangla_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|612.1 MB|
+
+## References
+
+https://huggingface.co/Kowsher/model-bangla-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-moresexistbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-moresexistbert_en.md
new file mode 100644
index 00000000000000..15e51bcc31404a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-moresexistbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English moresexistbert BertEmbeddings from clincolnoz
+author: John Snow Labs
+name: moresexistbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`moresexistbert` is a English model originally trained by clincolnoz.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moresexistbert_en_5.1.1_3.0_1694577057922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moresexistbert_en_5.1.1_3.0_1694577057922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("moresexistbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("moresexistbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moresexistbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|404.7 MB|
+
+## References
+
+https://huggingface.co/clincolnoz/MoreSexistBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-muril_with_mlm_cased_temp_en.md b/docs/_posts/ahmedlone127/2023-09-13-muril_with_mlm_cased_temp_en.md
new file mode 100644
index 00000000000000..bed1b3b903c55e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-muril_with_mlm_cased_temp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English muril_with_mlm_cased_temp BertEmbeddings from simran-kh
+author: John Snow Labs
+name: muril_with_mlm_cased_temp
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`muril_with_mlm_cased_temp` is a English model originally trained by simran-kh.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/muril_with_mlm_cased_temp_en_5.1.1_3.0_1694574360108.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/muril_with_mlm_cased_temp_en_5.1.1_3.0_1694574360108.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("muril_with_mlm_cased_temp","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("muril_with_mlm_cased_temp", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|muril_with_mlm_cased_temp|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|890.4 MB|
+
+## References
+
+https://huggingface.co/simran-kh/muril-with-mlm-cased-temp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mwp_bert_english_en.md b/docs/_posts/ahmedlone127/2023-09-13-mwp_bert_english_en.md
new file mode 100644
index 00000000000000..a773bb355fd881
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mwp_bert_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mwp_bert_english BertEmbeddings from invokerliang
+author: John Snow Labs
+name: mwp_bert_english
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mwp_bert_english` is a English model originally trained by invokerliang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mwp_bert_english_en_5.1.1_3.0_1694575296759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mwp_bert_english_en_5.1.1_3.0_1694575296759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mwp_bert_english","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mwp_bert_english", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mwp_bert_english|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/invokerliang/MWP-BERT-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mymodel005_en.md b/docs/_posts/ahmedlone127/2023-09-13-mymodel005_en.md
new file mode 100644
index 00000000000000..bb998c2ce0980e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mymodel005_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mymodel005 BertEmbeddings from wbmitcast
+author: John Snow Labs
+name: mymodel005
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mymodel005` is a English model originally trained by wbmitcast.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mymodel005_en_5.1.1_3.0_1694583366404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mymodel005_en_5.1.1_3.0_1694583366404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mymodel005","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mymodel005", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mymodel005|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/wbmitcast/mymodel005
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mymodel007_wbmitcast_en.md b/docs/_posts/ahmedlone127/2023-09-13-mymodel007_wbmitcast_en.md
new file mode 100644
index 00000000000000..181bd8341e32df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mymodel007_wbmitcast_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mymodel007_wbmitcast BertEmbeddings from wbmitcast
+author: John Snow Labs
+name: mymodel007_wbmitcast
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mymodel007_wbmitcast` is a English model originally trained by wbmitcast.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mymodel007_wbmitcast_en_5.1.1_3.0_1694583570220.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mymodel007_wbmitcast_en_5.1.1_3.0_1694583570220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mymodel007_wbmitcast","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mymodel007_wbmitcast", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mymodel007_wbmitcast|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/wbmitcast/mymodel007
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-mymodel1007_en.md b/docs/_posts/ahmedlone127/2023-09-13-mymodel1007_en.md
new file mode 100644
index 00000000000000..22775a1a5aa98b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-mymodel1007_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mymodel1007 BertEmbeddings from Wilson2021
+author: John Snow Labs
+name: mymodel1007
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`mymodel1007` is a English model originally trained by Wilson2021.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mymodel1007_en_5.1.1_3.0_1694574662440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mymodel1007_en_5.1.1_3.0_1694574662440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("mymodel1007","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("mymodel1007", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mymodel1007|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Wilson2021/mymodel1007
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-nepalibert_en.md b/docs/_posts/ahmedlone127/2023-09-13-nepalibert_en.md
new file mode 100644
index 00000000000000..df8acc60b5f81c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-nepalibert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nepalibert BertEmbeddings from Rajan
+author: John Snow Labs
+name: nepalibert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`nepalibert` is a English model originally trained by Rajan.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepalibert_en_5.1.1_3.0_1694569792967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepalibert_en_5.1.1_3.0_1694569792967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("nepalibert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("nepalibert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepalibert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|305.4 MB|
+
+## References
+
+https://huggingface.co/Rajan/NepaliBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-nepalibert_ne.md b/docs/_posts/ahmedlone127/2023-09-13-nepalibert_ne.md
new file mode 100644
index 00000000000000..704887a504fc5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-nepalibert_ne.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Nepali (macrolanguage) nepalibert BertEmbeddings from Shushant
+author: John Snow Labs
+name: nepalibert
+date: 2023-09-13
+tags: [bert, ne, open_source, fill_mask, onnx]
+task: Embeddings
+language: ne
+edition: Spark NLP 5.1.1
+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.`nepalibert` is a Nepali (macrolanguage) model originally trained by Shushant.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepalibert_ne_5.1.1_3.0_1694571473601.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepalibert_ne_5.1.1_3.0_1694571473601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("nepalibert","ne") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("nepalibert", "ne")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepalibert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ne|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/Shushant/nepaliBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-neuba_bert_en.md b/docs/_posts/ahmedlone127/2023-09-13-neuba_bert_en.md
new file mode 100644
index 00000000000000..b2a00258eba302
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-neuba_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English neuba_bert BertEmbeddings from thunlp
+author: John Snow Labs
+name: neuba_bert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`neuba_bert` is a English model originally trained by thunlp.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/neuba_bert_en_5.1.1_3.0_1694577955856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/neuba_bert_en_5.1.1_3.0_1694577955856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("neuba_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("neuba_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|neuba_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/thunlp/neuba-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-nl1_en.md b/docs/_posts/ahmedlone127/2023-09-13-nl1_en.md
new file mode 100644
index 00000000000000..7c685451ff7262
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-nl1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nl1 BertEmbeddings from willemjan
+author: John Snow Labs
+name: nl1
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`nl1` is a English model originally trained by willemjan.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nl1_en_5.1.1_3.0_1694584898456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nl1_en_5.1.1_3.0_1694584898456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("nl1","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("nl1", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nl1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/willemjan/nl1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-notram_bert_norwegian_cased_080321_no.md b/docs/_posts/ahmedlone127/2023-09-13-notram_bert_norwegian_cased_080321_no.md
new file mode 100644
index 00000000000000..b7ede65d1edf53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-notram_bert_norwegian_cased_080321_no.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Norwegian notram_bert_norwegian_cased_080321 BertEmbeddings from NbAiLab
+author: John Snow Labs
+name: notram_bert_norwegian_cased_080321
+date: 2023-09-13
+tags: [bert, "no", open_source, fill_mask, onnx]
+task: Embeddings
+language: "no"
+edition: Spark NLP 5.1.1
+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.`notram_bert_norwegian_cased_080321` is a Norwegian model originally trained by NbAiLab.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/notram_bert_norwegian_cased_080321_no_5.1.1_3.0_1694569128176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/notram_bert_norwegian_cased_080321_no_5.1.1_3.0_1694569128176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("notram_bert_norwegian_cased_080321","no") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("notram_bert_norwegian_cased_080321", "no")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|notram_bert_norwegian_cased_080321|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|no|
+|Size:|663.0 MB|
+
+## References
+
+https://huggingface.co/NbAiLab/notram-bert-norwegian-cased-080321
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-opticalbert_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-opticalbert_cased_en.md
new file mode 100644
index 00000000000000..63d40cbc3aaeaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-opticalbert_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English opticalbert_cased BertEmbeddings from opticalmaterials
+author: John Snow Labs
+name: opticalbert_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`opticalbert_cased` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opticalbert_cased_en_5.1.1_3.0_1694581051911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opticalbert_cased_en_5.1.1_3.0_1694581051911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("opticalbert_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("opticalbert_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opticalbert_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalbert_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-opticalbert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-opticalbert_uncased_en.md
new file mode 100644
index 00000000000000..89048fd4589948
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-opticalbert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English opticalbert_uncased BertEmbeddings from opticalmaterials
+author: John Snow Labs
+name: opticalbert_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`opticalbert_uncased` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opticalbert_uncased_en_5.1.1_3.0_1694581416416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opticalbert_uncased_en_5.1.1_3.0_1694581416416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("opticalbert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("opticalbert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opticalbert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalbert_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-opticalpurebert_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-opticalpurebert_cased_en.md
new file mode 100644
index 00000000000000..a6bf328fba73bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-opticalpurebert_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English opticalpurebert_cased BertEmbeddings from opticalmaterials
+author: John Snow Labs
+name: opticalpurebert_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`opticalpurebert_cased` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opticalpurebert_cased_en_5.1.1_3.0_1694581559636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opticalpurebert_cased_en_5.1.1_3.0_1694581559636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("opticalpurebert_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("opticalpurebert_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opticalpurebert_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalpurebert_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-opticalpurebert_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-opticalpurebert_uncased_en.md
new file mode 100644
index 00000000000000..9f396c3edfa399
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-opticalpurebert_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English opticalpurebert_uncased BertEmbeddings from opticalmaterials
+author: John Snow Labs
+name: opticalpurebert_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`opticalpurebert_uncased` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opticalpurebert_uncased_en_5.1.1_3.0_1694581713185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opticalpurebert_uncased_en_5.1.1_3.0_1694581713185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("opticalpurebert_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("opticalpurebert_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opticalpurebert_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalpurebert_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-output_miladfa7_en.md b/docs/_posts/ahmedlone127/2023-09-13-output_miladfa7_en.md
new file mode 100644
index 00000000000000..7ebbc4d5b7b831
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-output_miladfa7_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English output_miladfa7 BertEmbeddings from miladfa7
+author: John Snow Labs
+name: output_miladfa7
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`output_miladfa7` is a English model originally trained by miladfa7.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_miladfa7_en_5.1.1_3.0_1694569708274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_miladfa7_en_5.1.1_3.0_1694569708274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("output_miladfa7","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("output_miladfa7", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_miladfa7|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|606.0 MB|
+
+## References
+
+https://huggingface.co/miladfa7/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-paraphraserplus_1epoch_en.md b/docs/_posts/ahmedlone127/2023-09-13-paraphraserplus_1epoch_en.md
new file mode 100644
index 00000000000000..20335bd56f296d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-paraphraserplus_1epoch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English paraphraserplus_1epoch BertEmbeddings from sergiyvl
+author: John Snow Labs
+name: paraphraserplus_1epoch
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`paraphraserplus_1epoch` is a English model originally trained by sergiyvl.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraphraserplus_1epoch_en_5.1.1_3.0_1694573041191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraphraserplus_1epoch_en_5.1.1_3.0_1694573041191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("paraphraserplus_1epoch","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("paraphraserplus_1epoch", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paraphraserplus_1epoch|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/sergiyvl/ParaPhraserPlus_1epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-parlamint_en.md b/docs/_posts/ahmedlone127/2023-09-13-parlamint_en.md
new file mode 100644
index 00000000000000..65579e5335403e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-parlamint_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English parlamint BertEmbeddings from IneG
+author: John Snow Labs
+name: parlamint
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`parlamint` is a English model originally trained by IneG.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parlamint_en_5.1.1_3.0_1694584898291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parlamint_en_5.1.1_3.0_1694584898291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("parlamint","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("parlamint", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parlamint|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/IneG/parlamint
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-parsbert_base_sanay_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-parsbert_base_sanay_uncased_en.md
new file mode 100644
index 00000000000000..ebf072adbafbf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-parsbert_base_sanay_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English parsbert_base_sanay_uncased BertEmbeddings from miladfa7
+author: John Snow Labs
+name: parsbert_base_sanay_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`parsbert_base_sanay_uncased` is a English model originally trained by miladfa7.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parsbert_base_sanay_uncased_en_5.1.1_3.0_1694569942308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parsbert_base_sanay_uncased_en_5.1.1_3.0_1694569942308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("parsbert_base_sanay_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("parsbert_base_sanay_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parsbert_base_sanay_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|608.9 MB|
+
+## References
+
+https://huggingface.co/miladfa7/parsbert-base-sanay-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-pcscibert_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-pcscibert_cased_en.md
new file mode 100644
index 00000000000000..607352ec2d16c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-pcscibert_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pcscibert_cased BertEmbeddings from jmzk96
+author: John Snow Labs
+name: pcscibert_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`pcscibert_cased` is a English model originally trained by jmzk96.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pcscibert_cased_en_5.1.1_3.0_1694586987079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pcscibert_cased_en_5.1.1_3.0_1694586987079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("pcscibert_cased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("pcscibert_cased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pcscibert_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/jmzk96/PCSciBERT_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-protaugment_lm_banking77_en.md b/docs/_posts/ahmedlone127/2023-09-13-protaugment_lm_banking77_en.md
new file mode 100644
index 00000000000000..0bf59c249e99db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-protaugment_lm_banking77_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English protaugment_lm_banking77 BertEmbeddings from tdopierre
+author: John Snow Labs
+name: protaugment_lm_banking77
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`protaugment_lm_banking77` is a English model originally trained by tdopierre.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/protaugment_lm_banking77_en_5.1.1_3.0_1694576921524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/protaugment_lm_banking77_en_5.1.1_3.0_1694576921524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("protaugment_lm_banking77","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("protaugment_lm_banking77", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|protaugment_lm_banking77|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/tdopierre/ProtAugment-LM-BANKING77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_abstract_cord19_en.md b/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_abstract_cord19_en.md
new file mode 100644
index 00000000000000..1dfebc410806ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_abstract_cord19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pubmedbert_abstract_cord19 BertEmbeddings from pritamdeka
+author: John Snow Labs
+name: pubmedbert_abstract_cord19
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`pubmedbert_abstract_cord19` is a English model originally trained by pritamdeka.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmedbert_abstract_cord19_en_5.1.1_3.0_1694564002029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmedbert_abstract_cord19_en_5.1.1_3.0_1694564002029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("pubmedbert_abstract_cord19","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("pubmedbert_abstract_cord19", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_abstract_cord19|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pritamdeka/PubMedBert-abstract-cord19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_abstract_cord19_v2_en.md b/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_abstract_cord19_v2_en.md
new file mode 100644
index 00000000000000..a5c4d15b137480
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_abstract_cord19_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pubmedbert_abstract_cord19_v2 BertEmbeddings from pritamdeka
+author: John Snow Labs
+name: pubmedbert_abstract_cord19_v2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`pubmedbert_abstract_cord19_v2` is a English model originally trained by pritamdeka.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmedbert_abstract_cord19_v2_en_5.1.1_3.0_1694563849710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmedbert_abstract_cord19_v2_en_5.1.1_3.0_1694563849710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("pubmedbert_abstract_cord19_v2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("pubmedbert_abstract_cord19_v2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_abstract_cord19_v2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pritamdeka/PubMedBert-abstract-cord19-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_fulltext_cord19_en.md b/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_fulltext_cord19_en.md
new file mode 100644
index 00000000000000..3b7bc95189a5b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-pubmedbert_fulltext_cord19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pubmedbert_fulltext_cord19 BertEmbeddings from pritamdeka
+author: John Snow Labs
+name: pubmedbert_fulltext_cord19
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`pubmedbert_fulltext_cord19` is a English model originally trained by pritamdeka.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmedbert_fulltext_cord19_en_5.1.1_3.0_1694564166623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmedbert_fulltext_cord19_en_5.1.1_3.0_1694564166623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("pubmedbert_fulltext_cord19","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("pubmedbert_fulltext_cord19", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_fulltext_cord19|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pritamdeka/PubMedBert-fulltext-cord19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-qaideptmodel_en.md b/docs/_posts/ahmedlone127/2023-09-13-qaideptmodel_en.md
new file mode 100644
index 00000000000000..91ba2dea30bd77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-qaideptmodel_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English qaideptmodel BertEmbeddings from Razan
+author: John Snow Labs
+name: qaideptmodel
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`qaideptmodel` is a English model originally trained by Razan.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qaideptmodel_en_5.1.1_3.0_1694569996396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qaideptmodel_en_5.1.1_3.0_1694569996396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("qaideptmodel","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("qaideptmodel", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qaideptmodel|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|504.8 MB|
+
+## References
+
+https://huggingface.co/Razan/QAIDeptModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-qe3_ar.md b/docs/_posts/ahmedlone127/2023-09-13-qe3_ar.md
new file mode 100644
index 00000000000000..7fbf063d360c7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-qe3_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic qe3 BertEmbeddings from NLP-EXP
+author: John Snow Labs
+name: qe3
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`qe3` is a Arabic model originally trained by NLP-EXP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qe3_ar_5.1.1_3.0_1694580295901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qe3_ar_5.1.1_3.0_1694580295901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("qe3","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("qe3", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qe3|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.1 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/QE3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-qe6_ar.md b/docs/_posts/ahmedlone127/2023-09-13-qe6_ar.md
new file mode 100644
index 00000000000000..b92c874a716461
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-qe6_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic qe6 BertEmbeddings from NLP-EXP
+author: John Snow Labs
+name: qe6
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`qe6` is a Arabic model originally trained by NLP-EXP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qe6_ar_5.1.1_3.0_1694580457879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qe6_ar_5.1.1_3.0_1694580457879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("qe6","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("qe6", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qe6|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.2 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/QE6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-qse_en.md b/docs/_posts/ahmedlone127/2023-09-13-qse_en.md
new file mode 100644
index 00000000000000..ac1c35f3a24fce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-qse_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English qse BertEmbeddings from NLP-EXP
+author: John Snow Labs
+name: qse
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`qse` is a English model originally trained by NLP-EXP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qse_en_5.1.1_3.0_1694582574251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qse_en_5.1.1_3.0_1694582574251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("qse","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("qse", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qse|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|504.0 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/QSE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-qsr_ar.md b/docs/_posts/ahmedlone127/2023-09-13-qsr_ar.md
new file mode 100644
index 00000000000000..18104a5f339a1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-qsr_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic qsr BertEmbeddings from NLP-EXP
+author: John Snow Labs
+name: qsr
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`qsr` is a Arabic model originally trained by NLP-EXP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qsr_ar_5.1.1_3.0_1694580143110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qsr_ar_5.1.1_3.0_1694580143110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("qsr","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("qsr", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qsr|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.0 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/QSR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-qsrt_ar.md b/docs/_posts/ahmedlone127/2023-09-13-qsrt_ar.md
new file mode 100644
index 00000000000000..80bf5b476a74de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-qsrt_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic qsrt BertEmbeddings from NLP-EXP
+author: John Snow Labs
+name: qsrt
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`qsrt` is a Arabic model originally trained by NLP-EXP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qsrt_ar_5.1.1_3.0_1694579804623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qsrt_ar_5.1.1_3.0_1694579804623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("qsrt","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("qsrt", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qsrt|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.2 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/QSRT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-qst_ar.md b/docs/_posts/ahmedlone127/2023-09-13-qst_ar.md
new file mode 100644
index 00000000000000..34eb8c95c873e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-qst_ar.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Arabic qst BertEmbeddings from NLP-EXP
+author: John Snow Labs
+name: qst
+date: 2023-09-13
+tags: [bert, ar, open_source, fill_mask, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.1.1
+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.`qst` is a Arabic model originally trained by NLP-EXP.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qst_ar_5.1.1_3.0_1694579959539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qst_ar_5.1.1_3.0_1694579959539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("qst","ar") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("qst", "ar")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qst|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.0 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/QST
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-recipe_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-13-recipe_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..e3eae7db825d7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-recipe_bert_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English recipe_bert_base_uncased BertEmbeddings from AnonymousSub
+author: John Snow Labs
+name: recipe_bert_base_uncased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`recipe_bert_base_uncased` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipe_bert_base_uncased_en_5.1.1_3.0_1694577388934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipe_bert_base_uncased_en_5.1.1_3.0_1694577388934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("recipe_bert_base_uncased","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("recipe_bert_base_uncased", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipe_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/recipe-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-retbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-retbert_en.md
new file mode 100644
index 00000000000000..a04449fd7fe3b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-retbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English retbert BertEmbeddings from ThePixOne
+author: John Snow Labs
+name: retbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`retbert` is a English model originally trained by ThePixOne.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/retbert_en_5.1.1_3.0_1694572305505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/retbert_en_5.1.1_3.0_1694572305505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("retbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("retbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|retbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ThePixOne/retBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-rubert_base_ru.md b/docs/_posts/ahmedlone127/2023-09-13-rubert_base_ru.md
new file mode 100644
index 00000000000000..890f7c7e49be59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-rubert_base_ru.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Russian rubert_base BertEmbeddings from ai-forever
+author: John Snow Labs
+name: rubert_base
+date: 2023-09-13
+tags: [bert, ru, open_source, fill_mask, onnx]
+task: Embeddings
+language: ru
+edition: Spark NLP 5.1.1
+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.`rubert_base` is a Russian model originally trained by ai-forever.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_ru_5.1.1_3.0_1694571215568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_ru_5.1.1_3.0_1694571215568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("rubert_base","ru") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("rubert_base", "ru")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ru|
+|Size:|667.0 MB|
+
+## References
+
+https://huggingface.co/ai-forever/ruBert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-rubert_large_ru.md b/docs/_posts/ahmedlone127/2023-09-13-rubert_large_ru.md
new file mode 100644
index 00000000000000..4215dc9aff15ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-rubert_large_ru.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Russian rubert_large BertEmbeddings from ai-forever
+author: John Snow Labs
+name: rubert_large
+date: 2023-09-13
+tags: [bert, ru, open_source, fill_mask, onnx]
+task: Embeddings
+language: ru
+edition: Spark NLP 5.1.1
+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.`rubert_large` is a Russian model originally trained by ai-forever.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_large_ru_5.1.1_3.0_1694571586736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_large_ru_5.1.1_3.0_1694571586736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("rubert_large","ru") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("rubert_large", "ru")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_large|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|ru|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/ai-forever/ruBert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-rubiobert_en.md b/docs/_posts/ahmedlone127/2023-09-13-rubiobert_en.md
new file mode 100644
index 00000000000000..709b81962d538b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-rubiobert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rubiobert BertEmbeddings from alexyalunin
+author: John Snow Labs
+name: rubiobert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`rubiobert` is a English model originally trained by alexyalunin.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubiobert_en_5.1.1_3.0_1694578324460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubiobert_en_5.1.1_3.0_1694578324460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("rubiobert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("rubiobert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubiobert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|667.1 MB|
+
+## References
+
+https://huggingface.co/alexyalunin/RuBioBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-scibert_lm_v1_finetuned_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-scibert_lm_v1_finetuned_20_en.md
new file mode 100644
index 00000000000000..c5e0519e83ef15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-scibert_lm_v1_finetuned_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_lm_v1_finetuned_20 BertEmbeddings from ariesutiono
+author: John Snow Labs
+name: scibert_lm_v1_finetuned_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_lm_v1_finetuned_20` is a English model originally trained by ariesutiono.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_lm_v1_finetuned_20_en_5.1.1_3.0_1694564841995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_lm_v1_finetuned_20_en_5.1.1_3.0_1694564841995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_lm_v1_finetuned_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_lm_v1_finetuned_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_lm_v1_finetuned_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|499.5 MB|
+
+## References
+
+https://huggingface.co/ariesutiono/scibert-lm-v1-finetuned-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-scibert_lm_v2_finetuned_20_en.md b/docs/_posts/ahmedlone127/2023-09-13-scibert_lm_v2_finetuned_20_en.md
new file mode 100644
index 00000000000000..ee7b79a92a3f4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-scibert_lm_v2_finetuned_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_lm_v2_finetuned_20 BertEmbeddings from ariesutiono
+author: John Snow Labs
+name: scibert_lm_v2_finetuned_20
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_lm_v2_finetuned_20` is a English model originally trained by ariesutiono.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_lm_v2_finetuned_20_en_5.1.1_3.0_1694565081199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_lm_v2_finetuned_20_en_5.1.1_3.0_1694565081199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_lm_v2_finetuned_20","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_lm_v2_finetuned_20", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_lm_v2_finetuned_20|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|499.5 MB|
+
+## References
+
+https://huggingface.co/ariesutiono/scibert-lm-v2-finetuned-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_finetuned_scibero_en.md b/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_finetuned_scibero_en.md
new file mode 100644
index 00000000000000..777c51d6e921d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_finetuned_scibero_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_uncased_finetuned_scibero BertEmbeddings from Transabrar
+author: John Snow Labs
+name: scibert_scivocab_uncased_finetuned_scibero
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_scivocab_uncased_finetuned_scibero` is a English model originally trained by Transabrar.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_scibero_en_5.1.1_3.0_1694572669211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_scibero_en_5.1.1_3.0_1694572669211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_scivocab_uncased_finetuned_scibero","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_scivocab_uncased_finetuned_scibero", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_uncased_finetuned_scibero|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/Transabrar/scibert_scivocab_uncased-finetuned-scibero
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_finetuned_scibert_agu_abstracts_en.md b/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_finetuned_scibert_agu_abstracts_en.md
new file mode 100644
index 00000000000000..4170c091360902
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_finetuned_scibert_agu_abstracts_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_uncased_finetuned_scibert_agu_abstracts BertEmbeddings from arminmehrabian
+author: John Snow Labs
+name: scibert_scivocab_uncased_finetuned_scibert_agu_abstracts
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_scivocab_uncased_finetuned_scibert_agu_abstracts` is a English model originally trained by arminmehrabian.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_scibert_agu_abstracts_en_5.1.1_3.0_1694563751306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_scibert_agu_abstracts_en_5.1.1_3.0_1694563751306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_scivocab_uncased_finetuned_scibert_agu_abstracts","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_scivocab_uncased_finetuned_scibert_agu_abstracts", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_uncased_finetuned_scibert_agu_abstracts|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/arminmehrabian/scibert_scivocab_uncased-finetuned-scibert-agu-abstracts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_long_4096_en.md b/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_long_4096_en.md
new file mode 100644
index 00000000000000..56b07713c1bea8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-scibert_scivocab_uncased_long_4096_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_uncased_long_4096 BertEmbeddings from yorko
+author: John Snow Labs
+name: scibert_scivocab_uncased_long_4096
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_scivocab_uncased_long_4096` is a English model originally trained by yorko.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_long_4096_en_5.1.1_3.0_1694587393144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_long_4096_en_5.1.1_3.0_1694587393144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_scivocab_uncased_long_4096","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_scivocab_uncased_long_4096", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_uncased_long_4096|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|420.3 MB|
+
+## References
+
+https://huggingface.co/yorko/scibert_scivocab_uncased_long_4096
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-scibert_wechsel_korean_en.md b/docs/_posts/ahmedlone127/2023-09-13-scibert_wechsel_korean_en.md
new file mode 100644
index 00000000000000..3ee8667dc06922
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-scibert_wechsel_korean_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_wechsel_korean BertEmbeddings from LeverageX
+author: John Snow Labs
+name: scibert_wechsel_korean
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`scibert_wechsel_korean` is a English model originally trained by LeverageX.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_wechsel_korean_en_5.1.1_3.0_1694566166641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_wechsel_korean_en_5.1.1_3.0_1694566166641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("scibert_wechsel_korean","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("scibert_wechsel_korean", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_wechsel_korean|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/LeverageX/scibert-wechsel-korean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-segabert_large_en.md b/docs/_posts/ahmedlone127/2023-09-13-segabert_large_en.md
new file mode 100644
index 00000000000000..d47852fa81c05c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-segabert_large_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English segabert_large BertEmbeddings from rsvp-AI-ca
+author: John Snow Labs
+name: segabert_large
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`segabert_large` is a English model originally trained by rsvp-AI-ca.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/segabert_large_en_5.1.1_3.0_1694568994445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/segabert_large_en_5.1.1_3.0_1694568994445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("segabert_large","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("segabert_large", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|segabert_large|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|941.1 MB|
+
+## References
+
+https://huggingface.co/rsvp-AI-ca/segabert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-sentmae_beir_en.md b/docs/_posts/ahmedlone127/2023-09-13-sentmae_beir_en.md
new file mode 100644
index 00000000000000..b797ac70350b25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-sentmae_beir_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sentmae_beir BertEmbeddings from SamuelYang
+author: John Snow Labs
+name: sentmae_beir
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`sentmae_beir` is a English model originally trained by SamuelYang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentmae_beir_en_5.1.1_3.0_1694567238490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentmae_beir_en_5.1.1_3.0_1694567238490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sentmae_beir","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sentmae_beir", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentmae_beir|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/SamuelYang/SentMAE_BEIR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-sentmae_en.md b/docs/_posts/ahmedlone127/2023-09-13-sentmae_en.md
new file mode 100644
index 00000000000000..c71ac5be26922e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-sentmae_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sentmae BertEmbeddings from SamuelYang
+author: John Snow Labs
+name: sentmae
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`sentmae` is a English model originally trained by SamuelYang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentmae_en_5.1.1_3.0_1694567054783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentmae_en_5.1.1_3.0_1694567054783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sentmae","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sentmae", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentmae|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/SamuelYang/SentMAE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-sentmae_msmarco_en.md b/docs/_posts/ahmedlone127/2023-09-13-sentmae_msmarco_en.md
new file mode 100644
index 00000000000000..a26ae4ff2a2120
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-sentmae_msmarco_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sentmae_msmarco BertEmbeddings from SamuelYang
+author: John Snow Labs
+name: sentmae_msmarco
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`sentmae_msmarco` is a English model originally trained by SamuelYang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentmae_msmarco_en_5.1.1_3.0_1694567599891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentmae_msmarco_en_5.1.1_3.0_1694567599891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sentmae_msmarco","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sentmae_msmarco", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentmae_msmarco|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/SamuelYang/SentMAE_MSMARCO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-sikubert_zh.md b/docs/_posts/ahmedlone127/2023-09-13-sikubert_zh.md
new file mode 100644
index 00000000000000..1f8bbc0e6e1c9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-sikubert_zh.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Chinese sikubert BertEmbeddings from SIKU-BERT
+author: John Snow Labs
+name: sikubert
+date: 2023-09-13
+tags: [bert, zh, open_source, fill_mask, onnx]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.1.1
+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.`sikubert` is a Chinese model originally trained by SIKU-BERT.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sikubert_zh_5.1.1_3.0_1694570261032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sikubert_zh_5.1.1_3.0_1694570261032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sikubert","zh") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sikubert", "zh")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sikubert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/SIKU-BERT/sikubert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-simlm_base_msmarco_en.md b/docs/_posts/ahmedlone127/2023-09-13-simlm_base_msmarco_en.md
new file mode 100644
index 00000000000000..bd9a20c9fe4cd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-simlm_base_msmarco_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English simlm_base_msmarco BertEmbeddings from intfloat
+author: John Snow Labs
+name: simlm_base_msmarco
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`simlm_base_msmarco` is a English model originally trained by intfloat.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/simlm_base_msmarco_en_5.1.1_3.0_1694566597314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/simlm_base_msmarco_en_5.1.1_3.0_1694566597314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("simlm_base_msmarco","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("simlm_base_msmarco", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|simlm_base_msmarco|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/intfloat/simlm-base-msmarco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-simlm_base_wiki100w_en.md b/docs/_posts/ahmedlone127/2023-09-13-simlm_base_wiki100w_en.md
new file mode 100644
index 00000000000000..5d653265f03a17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-simlm_base_wiki100w_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English simlm_base_wiki100w BertEmbeddings from intfloat
+author: John Snow Labs
+name: simlm_base_wiki100w
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`simlm_base_wiki100w` is a English model originally trained by intfloat.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/simlm_base_wiki100w_en_5.1.1_3.0_1694566769454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/simlm_base_wiki100w_en_5.1.1_3.0_1694566769454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("simlm_base_wiki100w","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("simlm_base_wiki100w", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|simlm_base_wiki100w|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/intfloat/simlm-base-wiki100w
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-slim_beir_scifact_old_en.md b/docs/_posts/ahmedlone127/2023-09-13-slim_beir_scifact_old_en.md
new file mode 100644
index 00000000000000..994317be139b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-slim_beir_scifact_old_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English slim_beir_scifact_old BertEmbeddings from kinoo
+author: John Snow Labs
+name: slim_beir_scifact_old
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`slim_beir_scifact_old` is a English model originally trained by kinoo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/slim_beir_scifact_old_en_5.1.1_3.0_1694578412848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/slim_beir_scifact_old_en_5.1.1_3.0_1694578412848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("slim_beir_scifact_old","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("slim_beir_scifact_old", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|slim_beir_scifact_old|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/kinoo/slim_beir-scifact-old
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-slimr_msmarco_passage_en.md b/docs/_posts/ahmedlone127/2023-09-13-slimr_msmarco_passage_en.md
new file mode 100644
index 00000000000000..d8f59ad8aa8f32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-slimr_msmarco_passage_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English slimr_msmarco_passage BertEmbeddings from castorini
+author: John Snow Labs
+name: slimr_msmarco_passage
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`slimr_msmarco_passage` is a English model originally trained by castorini.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/slimr_msmarco_passage_en_5.1.1_3.0_1694577246538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/slimr_msmarco_passage_en_5.1.1_3.0_1694577246538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("slimr_msmarco_passage","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("slimr_msmarco_passage", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|slimr_msmarco_passage|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/castorini/slimr-msmarco-passage
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..9f23d6657fee5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563331949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563331949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_qnli_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|135.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-qnli-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..0c2d846bfce26d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563524788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563524788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_qqp_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|122.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-qqp-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_rte_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_rte_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..69cca9ff8c53e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_rte_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_rte_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_rte_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_rte_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563639389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563639389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_rte_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_rte_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_rte_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|126.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-rte-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..2bd82070b0129b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563734576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563734576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_rte_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|126.3 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-rte-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_sst2_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_sst2_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..5a93507c7457ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_sst2_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_sst2_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_sst2_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_sst2_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563829652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563829652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_sst2_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_sst2_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_sst2_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|120.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-sst2-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..826dafefb44cac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563918718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563918718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_sst2_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|120.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-sst2-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_stsb_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_stsb_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..11d672c756d5fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_stsb_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_stsb_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_stsb_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_stsb_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694564136292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694564136292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_stsb_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_stsb_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_stsb_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|117.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-stsb-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..6eac2463e75411
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694564017601.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694564017601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_stsb_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|117.4 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-stsb-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..18c0b2d5019597
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694564212872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694564212872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|108.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/small-mlm-glue-wnli-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-spbert_mlm_base_en.md b/docs/_posts/ahmedlone127/2023-09-13-spbert_mlm_base_en.md
new file mode 100644
index 00000000000000..dc85b7d7c9991e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-spbert_mlm_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English spbert_mlm_base BertEmbeddings from razent
+author: John Snow Labs
+name: spbert_mlm_base
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`spbert_mlm_base` is a English model originally trained by razent.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spbert_mlm_base_en_5.1.1_3.0_1694566338968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spbert_mlm_base_en_5.1.1_3.0_1694566338968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("spbert_mlm_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("spbert_mlm_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spbert_mlm_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/razent/spbert-mlm-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-spbert_mlm_wso_base_en.md b/docs/_posts/ahmedlone127/2023-09-13-spbert_mlm_wso_base_en.md
new file mode 100644
index 00000000000000..36b6d2733147e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-spbert_mlm_wso_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English spbert_mlm_wso_base BertEmbeddings from razent
+author: John Snow Labs
+name: spbert_mlm_wso_base
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`spbert_mlm_wso_base` is a English model originally trained by razent.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spbert_mlm_wso_base_en_5.1.1_3.0_1694566556828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spbert_mlm_wso_base_en_5.1.1_3.0_1694566556828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("spbert_mlm_wso_base","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("spbert_mlm_wso_base", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spbert_mlm_wso_base|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/razent/spbert-mlm-wso-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-splade_cocondenser_selfdistil_baseplate_en.md b/docs/_posts/ahmedlone127/2023-09-13-splade_cocondenser_selfdistil_baseplate_en.md
new file mode 100644
index 00000000000000..a6d5e2441fc700
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-splade_cocondenser_selfdistil_baseplate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English splade_cocondenser_selfdistil_baseplate BertEmbeddings from baseplate
+author: John Snow Labs
+name: splade_cocondenser_selfdistil_baseplate
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`splade_cocondenser_selfdistil_baseplate` is a English model originally trained by baseplate.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/splade_cocondenser_selfdistil_baseplate_en_5.1.1_3.0_1694585076462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/splade_cocondenser_selfdistil_baseplate_en_5.1.1_3.0_1694585076462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("splade_cocondenser_selfdistil_baseplate","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("splade_cocondenser_selfdistil_baseplate", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|splade_cocondenser_selfdistil_baseplate|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/baseplate/splade-cocondenser-selfdistil
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-sw_v1_sw.md b/docs/_posts/ahmedlone127/2023-09-13-sw_v1_sw.md
new file mode 100644
index 00000000000000..1b5b9b390cacf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-sw_v1_sw.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Swahili (macrolanguage) sw_v1 BertEmbeddings from eolang
+author: John Snow Labs
+name: sw_v1
+date: 2023-09-13
+tags: [bert, sw, open_source, fill_mask, onnx]
+task: Embeddings
+language: sw
+edition: Spark NLP 5.1.1
+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.`sw_v1` is a Swahili (macrolanguage) model originally trained by eolang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sw_v1_sw_5.1.1_3.0_1694578806650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sw_v1_sw_5.1.1_3.0_1694578806650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("sw_v1","sw") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("sw_v1", "sw")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sw_v1|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|sw|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/eolang/SW-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-test_telsayed_en.md b/docs/_posts/ahmedlone127/2023-09-13-test_telsayed_en.md
new file mode 100644
index 00000000000000..a4d1b32d58d99d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-test_telsayed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_telsayed BertEmbeddings from telsayed
+author: John Snow Labs
+name: test_telsayed
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`test_telsayed` is a English model originally trained by telsayed.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_telsayed_en_5.1.1_3.0_1694576902353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_telsayed_en_5.1.1_3.0_1694576902353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("test_telsayed","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("test_telsayed", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_telsayed|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/telsayed/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-tiny_a_2_h_2_en.md b/docs/_posts/ahmedlone127/2023-09-13-tiny_a_2_h_2_en.md
new file mode 100644
index 00000000000000..e9217ac1e45314
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-tiny_a_2_h_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_a_2_h_2 BertEmbeddings from KamrusSamad
+author: John Snow Labs
+name: tiny_a_2_h_2
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_a_2_h_2` is a English model originally trained by KamrusSamad.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_a_2_h_2_en_5.1.1_3.0_1694564331760.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_a_2_h_2_en_5.1.1_3.0_1694564331760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_a_2_h_2","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_a_2_h_2", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_a_2_h_2|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/KamrusSamad/tiny_A-2_H-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-tiny_clinicalbert_en.md b/docs/_posts/ahmedlone127/2023-09-13-tiny_clinicalbert_en.md
new file mode 100644
index 00000000000000..47f42829007e45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-tiny_clinicalbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_clinicalbert BertEmbeddings from nlpie
+author: John Snow Labs
+name: tiny_clinicalbert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_clinicalbert` is a English model originally trained by nlpie.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_clinicalbert_en_5.1.1_3.0_1694573934228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_clinicalbert_en_5.1.1_3.0_1694573934228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_clinicalbert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_clinicalbert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_clinicalbert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|51.9 MB|
+
+## References
+
+https://huggingface.co/nlpie/tiny-clinicalbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en.md b/docs/_posts/ahmedlone127/2023-09-13-tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en.md
new file mode 100644
index 00000000000000..4fa075f99a585a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab BertEmbeddings from muhtasham
+author: John Snow Labs
+name: tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563249016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab_en_5.1.1_3.0_1694563249016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_mlm_glue_wnli_from_scratch_custom_tokenizer_expand_vocab|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-wnli-from-scratch-custom-tokenizer-expand-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-tlm_ag_medium_scale_en.md b/docs/_posts/ahmedlone127/2023-09-13-tlm_ag_medium_scale_en.md
new file mode 100644
index 00000000000000..49b628bcf918ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-tlm_ag_medium_scale_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tlm_ag_medium_scale BertEmbeddings from yxchar
+author: John Snow Labs
+name: tlm_ag_medium_scale
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tlm_ag_medium_scale` is a English model originally trained by yxchar.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tlm_ag_medium_scale_en_5.1.1_3.0_1694588336137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tlm_ag_medium_scale_en_5.1.1_3.0_1694588336137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tlm_ag_medium_scale","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tlm_ag_medium_scale", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tlm_ag_medium_scale|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/yxchar/tlm-ag-medium-scale
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-topic_erica_bert_en.md b/docs/_posts/ahmedlone127/2023-09-13-topic_erica_bert_en.md
new file mode 100644
index 00000000000000..5cd4d3f913f1b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-topic_erica_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English topic_erica_bert BertEmbeddings from Kdogs
+author: John Snow Labs
+name: topic_erica_bert
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`topic_erica_bert` is a English model originally trained by Kdogs.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_erica_bert_en_5.1.1_3.0_1694565067616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_erica_bert_en_5.1.1_3.0_1694565067616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("topic_erica_bert","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("topic_erica_bert", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_erica_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/Kdogs/topic_erica_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-transformer_exercise_01_en.md b/docs/_posts/ahmedlone127/2023-09-13-transformer_exercise_01_en.md
new file mode 100644
index 00000000000000..45e31f24879095
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-transformer_exercise_01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English transformer_exercise_01 BertEmbeddings from alangganggang
+author: John Snow Labs
+name: transformer_exercise_01
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`transformer_exercise_01` is a English model originally trained by alangganggang.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transformer_exercise_01_en_5.1.1_3.0_1694577887359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transformer_exercise_01_en_5.1.1_3.0_1694577887359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("transformer_exercise_01","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("transformer_exercise_01", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transformer_exercise_01|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/alangganggang/transformer_exercise_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-tsonga_test_en.md b/docs/_posts/ahmedlone127/2023-09-13-tsonga_test_en.md
new file mode 100644
index 00000000000000..acb9374ea0b290
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-tsonga_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tsonga_test BertEmbeddings from taesu
+author: John Snow Labs
+name: tsonga_test
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+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.`tsonga_test` is a English model originally trained by taesu.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tsonga_test_en_5.1.1_3.0_1694576071612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tsonga_test_en_5.1.1_3.0_1694576071612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tsonga_test","en") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tsonga_test", "en")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tsonga_test|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/taesu/ts-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-tulio_bert_es.md b/docs/_posts/ahmedlone127/2023-09-13-tulio_bert_es.md
new file mode 100644
index 00000000000000..7d68cf213c0215
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-tulio_bert_es.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Castilian, Spanish tulio_bert BertEmbeddings from jorgeortizfuentes
+author: John Snow Labs
+name: tulio_bert
+date: 2023-09-13
+tags: [bert, es, open_source, fill_mask, onnx]
+task: Embeddings
+language: es
+edition: Spark NLP 5.1.1
+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.`tulio_bert` is a Castilian, Spanish model originally trained by jorgeortizfuentes.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tulio_bert_es_5.1.1_3.0_1694570756756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tulio_bert_es_5.1.1_3.0_1694570756756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("tulio_bert","es") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("tulio_bert", "es")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tulio_bert|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/jorgeortizfuentes/tulio-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-wineberto_italian_cased_it.md b/docs/_posts/ahmedlone127/2023-09-13-wineberto_italian_cased_it.md
new file mode 100644
index 00000000000000..3909a41f8d79b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-wineberto_italian_cased_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian wineberto_italian_cased BertEmbeddings from vinhood
+author: John Snow Labs
+name: wineberto_italian_cased
+date: 2023-09-13
+tags: [bert, it, open_source, fill_mask, onnx]
+task: Embeddings
+language: it
+edition: Spark NLP 5.1.1
+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.`wineberto_italian_cased` is a Italian model originally trained by vinhood.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wineberto_italian_cased_it_5.1.1_3.0_1694581896429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wineberto_italian_cased_it_5.1.1_3.0_1694581896429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("wineberto_italian_cased","it") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("wineberto_italian_cased", "it")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wineberto_italian_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|it|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/vinhood/wineberto-italian-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-13-wobert_chinese_plus_zh.md b/docs/_posts/ahmedlone127/2023-09-13-wobert_chinese_plus_zh.md
new file mode 100644
index 00000000000000..1959e2400b1f9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-13-wobert_chinese_plus_zh.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Chinese wobert_chinese_plus BertEmbeddings from qinluo
+author: John Snow Labs
+name: wobert_chinese_plus
+date: 2023-09-13
+tags: [bert, zh, open_source, fill_mask, onnx]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.1.1
+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.`wobert_chinese_plus` is a Chinese model originally trained by qinluo.
+
+{:.btn-box}
+Live Demo
+Open in Colab
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wobert_chinese_plus_zh_5.1.1_3.0_1694565904418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wobert_chinese_plus_zh_5.1.1_3.0_1694565904418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+
+document_assembler = DocumentAssembler() \
+ .setInputCol("text") \
+ .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("wobert_chinese_plus","zh") \
+ .setInputCols(["documents","token"]) \
+ .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+ .setInputCol("text")
+ .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings
+ .pretrained("wobert_chinese_plus", "zh")
+ .setInputCols(Array("documents","token"))
+ .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wobert_chinese_plus|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/qinluo/wobert-chinese-plus
\ No newline at end of file