2023-10-19-asr_whisper_small_urdu_1000_64_1e_05_pretrain_arabic_en

docs/_posts/ahmedlone127/2023-10-19-asr_personal_whisper_small_english_model_en.md

@@ -0,0 +1,92 @@
+---
+layout: model
+title: English asr_personal_whisper_small_english_model WhisperForCTC from fractalego
+author: John Snow Labs
+name: asr_personal_whisper_small_english_model
+date: 2023-10-19
+tags: [whisper, en, open_source, asr, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_personal_whisper_small_english_model` is a English model originally trained by fractalego.
+
+This model is only compatible with PySpark 3.4 and above
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_personal_whisper_small_english_model_en_5.1.4_3.4_1697754481302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_personal_whisper_small_english_model_en_5.1.4_3.4_1697754481302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+audioAssembler = AudioAssembler() \
+    .setInputCol("audio_content") \
+    .setOutputCol("audio_assembler")
+
+
+speechToText  = WhisperForCTC.pretrained("asr_personal_whisper_small_english_model","en") \
+            .setInputCols(["audio_assembler"]) \
+            .setOutputCol("text")
+
+pipeline = Pipeline().setStages([audioAssembler, speechToText])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+val audioAssembler = new AudioAssembler() 
+    .setInputCol("audio_content") 
+    .setOutputCol("audio_assembler")
+
+val speechToText  = WhisperForCTC.pretrained("asr_personal_whisper_small_english_model","en") 
+            .setInputCols(Array("audio_assembler")) 
+            .setOutputCol("text")
+
+val pipeline = new Pipeline().setStages(Array(audioAssembler, speechToText))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_personal_whisper_small_english_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/fractalego/personal-whisper-small.en-model

docs/_posts/ahmedlone127/2023-10-19-asr_personal_whisper_small_english_model_pipeline_en.md

@@ -0,0 +1,71 @@
+---
+layout: model
+title: English asr_personal_whisper_small_english_model_pipeline pipeline WhisperForCTC from fractalego
+author: John Snow Labs
+name: asr_personal_whisper_small_english_model_pipeline
+date: 2023-10-19
+tags: [whisper, en, open_source, pipeline]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+annotator: PipelineModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_personal_whisper_small_english_model_pipeline` is a English model originally trained by fractalego.
+
+This model is only compatible with PySpark 3.4 and above
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_personal_whisper_small_english_model_pipeline_en_5.1.4_3.4_1697754518503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_personal_whisper_small_english_model_pipeline_en_5.1.4_3.4_1697754518503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline('asr_personal_whisper_small_english_model_pipeline', lang = 'en')
+annotations =  pipeline.transform(audioDF)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline('asr_personal_whisper_small_english_model_pipeline', lang = 'en')
+val annotations = pipeline.transform(audioDF)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_personal_whisper_small_english_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/fractalego/personal-whisper-small.en-model
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC

docs/_posts/ahmedlone127/2023-10-19-asr_whisper_lithuanian_finetune_lt.md

@@ -0,0 +1,92 @@
+---
+layout: model
+title: Lithuanian asr_whisper_lithuanian_finetune WhisperForCTC from daniel-rdt
+author: John Snow Labs
+name: asr_whisper_lithuanian_finetune
+date: 2023-10-19
+tags: [whisper, lt, open_source, asr, onnx]
+task: Automatic Speech Recognition
+language: lt
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_whisper_lithuanian_finetune` is a Lithuanian model originally trained by daniel-rdt.
+
+This model is only compatible with PySpark 3.4 and above
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_whisper_lithuanian_finetune_lt_5.1.4_3.4_1697755801160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_whisper_lithuanian_finetune_lt_5.1.4_3.4_1697755801160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+audioAssembler = AudioAssembler() \
+    .setInputCol("audio_content") \
+    .setOutputCol("audio_assembler")
+
+
+speechToText  = WhisperForCTC.pretrained("asr_whisper_lithuanian_finetune","lt") \
+            .setInputCols(["audio_assembler"]) \
+            .setOutputCol("text")
+
+pipeline = Pipeline().setStages([audioAssembler, speechToText])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+val audioAssembler = new AudioAssembler() 
+    .setInputCol("audio_content") 
+    .setOutputCol("audio_assembler")
+
+val speechToText  = WhisperForCTC.pretrained("asr_whisper_lithuanian_finetune","lt") 
+            .setInputCols(Array("audio_assembler")) 
+            .setOutputCol("text")
+
+val pipeline = new Pipeline().setStages(Array(audioAssembler, speechToText))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_whisper_lithuanian_finetune|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|lt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/daniel-rdt/whisper-lt-finetune

docs/_posts/ahmedlone127/2023-10-19-asr_whisper_lithuanian_finetune_pipeline_lt.md

@@ -0,0 +1,71 @@
+---
+layout: model
+title: Lithuanian asr_whisper_lithuanian_finetune_pipeline pipeline WhisperForCTC from daniel-rdt
+author: John Snow Labs
+name: asr_whisper_lithuanian_finetune_pipeline
+date: 2023-10-19
+tags: [whisper, lt, open_source, pipeline]
+task: Automatic Speech Recognition
+language: lt
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+annotator: PipelineModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_whisper_lithuanian_finetune_pipeline` is a Lithuanian model originally trained by daniel-rdt.
+
+This model is only compatible with PySpark 3.4 and above
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_whisper_lithuanian_finetune_pipeline_lt_5.1.4_3.4_1697755826126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_whisper_lithuanian_finetune_pipeline_lt_5.1.4_3.4_1697755826126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline('asr_whisper_lithuanian_finetune_pipeline', lang = 'lt')
+annotations =  pipeline.transform(audioDF)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline('asr_whisper_lithuanian_finetune_pipeline', lang = 'lt')
+val annotations = pipeline.transform(audioDF)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_whisper_lithuanian_finetune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|lt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/daniel-rdt/whisper-lt-finetune
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC