diff --git a/docs/_posts/ahmedlone127/2024-11-10-afriberta_v2_large_en.md b/docs/_posts/ahmedlone127/2024-11-10-afriberta_v2_large_en.md
new file mode 100644
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@@ -0,0 +1,94 @@
+---
+layout: model
+title: English afriberta_v2_large XlmRoBertaEmbeddings from castorini
+author: John Snow Labs
+name: afriberta_v2_large
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afriberta_v2_large` is a English model originally trained by castorini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afriberta_v2_large_en_5.5.1_3.0_1731282953480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afriberta_v2_large_en_5.5.1_3.0_1731282953480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afriberta_v2_large|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[xlm_roberta]|
+|Language:|en|
+|Size:|698.8 MB|
+
+## References
+
+https://huggingface.co/castorini/afriberta_v2_large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-afriberta_v2_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-afriberta_v2_large_pipeline_en.md
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+---
+layout: model
+title: English afriberta_v2_large_pipeline pipeline XlmRoBertaEmbeddings from castorini
+author: John Snow Labs
+name: afriberta_v2_large_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afriberta_v2_large_pipeline` is a English model originally trained by castorini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afriberta_v2_large_pipeline_en_5.5.1_3.0_1731282989499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afriberta_v2_large_pipeline_en_5.5.1_3.0_1731282989499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afriberta_v2_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afriberta_v2_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afriberta_v2_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|698.8 MB|
+
+## References
+
+https://huggingface.co/castorini/afriberta_v2_large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_base_chinese_finetuned_food_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_base_chinese_finetuned_food_en.md
new file mode 100644
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+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_base_chinese_finetuned_food_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_food BertForTokenClassification from zhiguoxu
+author: John Snow Labs
+name: bert_base_chinese_finetuned_food
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_food` is a English model originally trained by zhiguoxu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_food_en_5.5.1_3.0_1731279799981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_food_en_5.5.1_3.0_1731279799981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_food|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/zhiguoxu/bert-base-chinese-finetuned-food
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_base_chinese_finetuned_food_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_base_chinese_finetuned_food_pipeline_en.md
new file mode 100644
index 00000000000000..be5c05a93a5c0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_base_chinese_finetuned_food_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_food_pipeline pipeline BertForTokenClassification from zhiguoxu
+author: John Snow Labs
+name: bert_base_chinese_finetuned_food_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_food_pipeline` is a English model originally trained by zhiguoxu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_food_pipeline_en_5.5.1_3.0_1731279819532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_food_pipeline_en_5.5.1_3.0_1731279819532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_finetuned_food_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_finetuned_food_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_food_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.2 MB|
+
+## References
+
+https://huggingface.co/zhiguoxu/bert-base-chinese-finetuned-food
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_arc_ner_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_arc_ner_en.md
new file mode 100644
index 00000000000000..afb323f2bf853a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_arc_ner_en.md
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+---
+layout: model
+title: English bert_finetuned_arc_ner BertForTokenClassification from nstrn-mo
+author: John Snow Labs
+name: bert_finetuned_arc_ner
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_arc_ner` is a English model originally trained by nstrn-mo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_arc_ner_en_5.5.1_3.0_1731279808777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_arc_ner_en_5.5.1_3.0_1731279808777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_arc_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/nstrn-mo/bert-finetuned-arc-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_arc_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_arc_ner_pipeline_en.md
new file mode 100644
index 00000000000000..8f413ddae5894e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_arc_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_arc_ner_pipeline pipeline BertForTokenClassification from nstrn-mo
+author: John Snow Labs
+name: bert_finetuned_arc_ner_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_arc_ner_pipeline` is a English model originally trained by nstrn-mo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_arc_ner_pipeline_en_5.5.1_3.0_1731279829261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_arc_ner_pipeline_en_5.5.1_3.0_1731279829261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_arc_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_arc_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_arc_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/nstrn-mo/bert-finetuned-arc-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_ner_1_es.md b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_ner_1_es.md
new file mode 100644
index 00000000000000..0173b5a6811573
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_ner_1_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bert_finetuned_ner_1 BertForTokenClassification from paulrojasg
+author: John Snow Labs
+name: bert_finetuned_ner_1
+date: 2024-11-10
+tags: [es, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_1` is a Castilian, Spanish model originally trained by paulrojasg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_1_es_5.5.1_3.0_1731280287792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_1_es_5.5.1_3.0_1731280287792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_rob101z|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/rob101z/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_ner_rob101z_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_ner_rob101z_pipeline_en.md
new file mode 100644
index 00000000000000..9ec1a09873ac95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_finetuned_ner_rob101z_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_rob101z_pipeline pipeline BertForTokenClassification from rob101z
+author: John Snow Labs
+name: bert_finetuned_ner_rob101z_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_rob101z_pipeline` is a English model originally trained by rob101z.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_rob101z_pipeline_en_5.5.1_3.0_1731279564182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_rob101z_pipeline_en_5.5.1_3.0_1731279564182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_rob101z_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_rob101z_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_rob101z_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/rob101z/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_los_muchachos_es.md b/docs/_posts/ahmedlone127/2024-11-10-bert_los_muchachos_es.md
new file mode 100644
index 00000000000000..c0d63ee98f089d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_los_muchachos_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bert_los_muchachos BertForTokenClassification from KPOETA
+author: John Snow Labs
+name: bert_los_muchachos
+date: 2024-11-10
+tags: [es, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_los_muchachos` is a Castilian, Spanish model originally trained by KPOETA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_los_muchachos_es_5.5.1_3.0_1731279598269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_los_muchachos_es_5.5.1_3.0_1731279598269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sliding_window_epoch_6|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-sliding-window_epoch_6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_sliding_window_epoch_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_sliding_window_epoch_6_pipeline_en.md
new file mode 100644
index 00000000000000..16bb03d623dc00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_sliding_window_epoch_6_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_sliding_window_epoch_6_pipeline pipeline DistilBertForQuestionAnswering from Whalejay
+author: John Snow Labs
+name: bert_sliding_window_epoch_6_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sliding_window_epoch_6_pipeline` is a English model originally trained by Whalejay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sliding_window_epoch_6_pipeline_en_5.5.1_3.0_1731281037766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sliding_window_epoch_6_pipeline_en_5.5.1_3.0_1731281037766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sliding_window_epoch_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sliding_window_epoch_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sliding_window_epoch_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-sliding-window_epoch_6
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_swahili_over_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_swahili_over_en.md
new file mode 100644
index 00000000000000..8b6b48c91b4513
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_swahili_over_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_swahili_over DistilBertForQuestionAnswering from Whalejay
+author: John Snow Labs
+name: bert_swahili_over
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_swahili_over` is a English model originally trained by Whalejay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_swahili_over_en_5.5.1_3.0_1731280924764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_swahili_over_en_5.5.1_3.0_1731280924764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_swahili_over|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-sw_over
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_swahili_over_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_swahili_over_pipeline_en.md
new file mode 100644
index 00000000000000..ac0432cccb0cc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_swahili_over_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_swahili_over_pipeline pipeline DistilBertForQuestionAnswering from Whalejay
+author: John Snow Labs
+name: bert_swahili_over_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_swahili_over_pipeline` is a English model originally trained by Whalejay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_swahili_over_pipeline_en_5.5.1_3.0_1731280937596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_swahili_over_pipeline_en_5.5.1_3.0_1731280937596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_swahili_over_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_swahili_over_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_swahili_over_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-sw_over
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_swz_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_swz_en.md
new file mode 100644
index 00000000000000..2b019e601c13a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_swz_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_swz DistilBertForQuestionAnswering from Whalejay
+author: John Snow Labs
+name: bert_swz
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_swz` is a English model originally trained by Whalejay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_swz_en_5.5.1_3.0_1731281145658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_swz_en_5.5.1_3.0_1731281145658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_swz|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.4 MB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-swz
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-bert_swz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-bert_swz_pipeline_en.md
new file mode 100644
index 00000000000000..7595fa99c7795a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-bert_swz_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_swz_pipeline pipeline DistilBertForQuestionAnswering from Whalejay
+author: John Snow Labs
+name: bert_swz_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_swz_pipeline` is a English model originally trained by Whalejay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_swz_pipeline_en_5.5.1_3.0_1731281158228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_swz_pipeline_en_5.5.1_3.0_1731281158228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_swz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_swz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_swz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.4 MB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-swz
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_beetroot16_en.md b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_beetroot16_en.md
new file mode 100644
index 00000000000000..29eac96def0b44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_beetroot16_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_beetroot16 DistilBertForQuestionAnswering from Beetroot16
+author: John Snow Labs
+name: burmese_awesome_qa_model_beetroot16
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_beetroot16` is a English model originally trained by Beetroot16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_beetroot16_en_5.5.1_3.0_1731281058274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_beetroot16_en_5.5.1_3.0_1731281058274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_beetroot16|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Beetroot16/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_beetroot16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_beetroot16_pipeline_en.md
new file mode 100644
index 00000000000000..1cf48b643e61d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_beetroot16_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_beetroot16_pipeline pipeline DistilBertForQuestionAnswering from Beetroot16
+author: John Snow Labs
+name: burmese_awesome_qa_model_beetroot16_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_beetroot16_pipeline` is a English model originally trained by Beetroot16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_beetroot16_pipeline_en_5.5.1_3.0_1731281071491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_beetroot16_pipeline_en_5.5.1_3.0_1731281071491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_beetroot16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_beetroot16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_beetroot16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Beetroot16/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_real_jiakai_en.md b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_real_jiakai_en.md
new file mode 100644
index 00000000000000..e1a9afc8a81e7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_real_jiakai_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_real_jiakai DistilBertForQuestionAnswering from real-jiakai
+author: John Snow Labs
+name: burmese_awesome_qa_model_real_jiakai
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_real_jiakai` is a English model originally trained by real-jiakai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_real_jiakai_en_5.5.1_3.0_1731281015961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_real_jiakai_en_5.5.1_3.0_1731281015961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_real_jiakai|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/real-jiakai/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_real_jiakai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_real_jiakai_pipeline_en.md
new file mode 100644
index 00000000000000..18459187f13add
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-burmese_awesome_qa_model_real_jiakai_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_real_jiakai_pipeline pipeline DistilBertForQuestionAnswering from real-jiakai
+author: John Snow Labs
+name: burmese_awesome_qa_model_real_jiakai_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_real_jiakai_pipeline` is a English model originally trained by real-jiakai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_real_jiakai_pipeline_en_5.5.1_3.0_1731281028771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_real_jiakai_pipeline_en_5.5.1_3.0_1731281028771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_real_jiakai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_real_jiakai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_real_jiakai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/real-jiakai/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-burmese_first_model_en.md b/docs/_posts/ahmedlone127/2024-11-10-burmese_first_model_en.md
new file mode 100644
index 00000000000000..b5a6842b2f4f85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-burmese_first_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_first_model DistilBertForQuestionAnswering from DarrenLo
+author: John Snow Labs
+name: burmese_first_model
+date: 2024-11-10
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_first_model` is a English model originally trained by DarrenLo.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_first_model_en_5.5.1_3.0_1731280892050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_first_model_en_5.5.1_3.0_1731280892050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|damage_trigger_effect_2024_11_06_13_00|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Lolimorimorf/damage_trigger_effect_2024-11-06_13_00
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-damage_trigger_effect_2024_11_06_13_00_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-damage_trigger_effect_2024_11_06_13_00_pipeline_en.md
new file mode 100644
index 00000000000000..2e66cbbe5009a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-damage_trigger_effect_2024_11_06_13_00_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English damage_trigger_effect_2024_11_06_13_00_pipeline pipeline BertForTokenClassification from Lolimorimorf
+author: John Snow Labs
+name: damage_trigger_effect_2024_11_06_13_00_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`damage_trigger_effect_2024_11_06_13_00_pipeline` is a English model originally trained by Lolimorimorf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/damage_trigger_effect_2024_11_06_13_00_pipeline_en_5.5.1_3.0_1731279697514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/damage_trigger_effect_2024_11_06_13_00_pipeline_en_5.5.1_3.0_1731279697514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("damage_trigger_effect_2024_11_06_13_00_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("damage_trigger_effect_2024_11_06_13_00_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|damage_trigger_effect_2024_11_06_13_00_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Lolimorimorf/damage_trigger_effect_2024-11-06_13_00
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-devicebert_base_cased_v1_0_en.md b/docs/_posts/ahmedlone127/2024-11-10-devicebert_base_cased_v1_0_en.md
new file mode 100644
index 00000000000000..0eece87f726985
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-devicebert_base_cased_v1_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English devicebert_base_cased_v1_0 BertForTokenClassification from mfarrington
+author: John Snow Labs
+name: devicebert_base_cased_v1_0
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`devicebert_base_cased_v1_0` is a English model originally trained by mfarrington.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/devicebert_base_cased_v1_0_en_5.5.1_3.0_1731280029932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/devicebert_base_cased_v1_0_en_5.5.1_3.0_1731280029932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|devicebert_base_cased_v1_0|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|869.3 MB|
+
+## References
+
+https://huggingface.co/mfarrington/devicebert-base-cased-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-devicebert_base_cased_v1_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-devicebert_base_cased_v1_0_pipeline_en.md
new file mode 100644
index 00000000000000..93cd6048269de6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-devicebert_base_cased_v1_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English devicebert_base_cased_v1_0_pipeline pipeline BertForTokenClassification from mfarrington
+author: John Snow Labs
+name: devicebert_base_cased_v1_0_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`devicebert_base_cased_v1_0_pipeline` is a English model originally trained by mfarrington.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/devicebert_base_cased_v1_0_pipeline_en_5.5.1_3.0_1731280075380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/devicebert_base_cased_v1_0_pipeline_en_5.5.1_3.0_1731280075380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("devicebert_base_cased_v1_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("devicebert_base_cased_v1_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|devicebert_base_cased_v1_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|869.3 MB|
+
+## References
+
+https://huggingface.co/mfarrington/devicebert-base-cased-v1.0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_cotysong113_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_cotysong113_en.md
new file mode 100644
index 00000000000000..9c462b20b8cb3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_cotysong113_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_cotysong113 DistilBertEmbeddings from cotysong113
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_cotysong113
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_cotysong113` is a English model originally trained by cotysong113.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_cotysong113_en_5.5.1_3.0_1731282176150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_cotysong113_en_5.5.1_3.0_1731282176150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_cotysong113|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/cotysong113/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline_en.md
new file mode 100644
index 00000000000000..8d44d9e2fb7caa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline pipeline DistilBertEmbeddings from cotysong113
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline` is a English model originally trained by cotysong113.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline_en_5.5.1_3.0_1731282189190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline_en_5.5.1_3.0_1731282189190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_cotysong113_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cotysong113/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ehottl_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ehottl_en.md
new file mode 100644
index 00000000000000..dbacb232bdbf60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ehottl_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_ehottl DistilBertEmbeddings from ehottl
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_ehottl
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_ehottl` is a English model originally trained by ehottl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ehottl_en_5.5.1_3.0_1731282139864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ehottl_en_5.5.1_3.0_1731282139864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_ehottl|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ehottl/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ehottl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ehottl_pipeline_en.md
new file mode 100644
index 00000000000000..d39253c5f1987c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ehottl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_ehottl_pipeline pipeline DistilBertEmbeddings from ehottl
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_ehottl_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_ehottl_pipeline` is a English model originally trained by ehottl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ehottl_pipeline_en_5.5.1_3.0_1731282152676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ehottl_pipeline_en_5.5.1_3.0_1731282152676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_ehottl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_ehottl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_ehottl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ehottl/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_gpragada_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_gpragada_en.md
new file mode 100644
index 00000000000000..1b6ad6af277429
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_gpragada_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_gpragada DistilBertEmbeddings from Gpragada
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_gpragada
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_gpragada` is a English model originally trained by Gpragada.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_gpragada_en_5.5.1_3.0_1731282229661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_gpragada_en_5.5.1_3.0_1731282229661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_gpragada|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Gpragada/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_gpragada_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_gpragada_pipeline_en.md
new file mode 100644
index 00000000000000..5d6fec4b18237f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_gpragada_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_gpragada_pipeline pipeline DistilBertEmbeddings from Gpragada
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_gpragada_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_gpragada_pipeline` is a English model originally trained by Gpragada.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_gpragada_pipeline_en_5.5.1_3.0_1731282242420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_gpragada_pipeline_en_5.5.1_3.0_1731282242420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_gpragada_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_gpragada_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_gpragada_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Gpragada/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ryosuke11_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ryosuke11_en.md
new file mode 100644
index 00000000000000..6b8b9b137a7027
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ryosuke11_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_ryosuke11 DistilBertEmbeddings from Ryosuke11
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_ryosuke11
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_ryosuke11` is a English model originally trained by Ryosuke11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ryosuke11_en_5.5.1_3.0_1731282148349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ryosuke11_en_5.5.1_3.0_1731282148349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_ryosuke11|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Ryosuke11/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline_en.md
new file mode 100644
index 00000000000000..05bf063d4cfec5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline pipeline DistilBertEmbeddings from Ryosuke11
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline` is a English model originally trained by Ryosuke11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline_en_5.5.1_3.0_1731282161867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline_en_5.5.1_3.0_1731282161867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_ryosuke11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Ryosuke11/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_arthur2025_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_arthur2025_en.md
new file mode 100644
index 00000000000000..f552a129fb20cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_arthur2025_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_arthur2025 DistilBertForQuestionAnswering from Arthur2025
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_arthur2025
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_arthur2025` is a English model originally trained by Arthur2025.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_arthur2025_en_5.5.1_3.0_1731281054898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_arthur2025_en_5.5.1_3.0_1731281054898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_arthur2025|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Arthur2025/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_arthur2025_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_arthur2025_pipeline_en.md
new file mode 100644
index 00000000000000..86b84e69ed083f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_arthur2025_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_arthur2025_pipeline pipeline DistilBertForQuestionAnswering from Arthur2025
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_arthur2025_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_arthur2025_pipeline` is a English model originally trained by Arthur2025.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_arthur2025_pipeline_en_5.5.1_3.0_1731281068086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_arthur2025_pipeline_en_5.5.1_3.0_1731281068086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_arthur2025_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_arthur2025_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_arthur2025_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Arthur2025/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_baranll0_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_baranll0_en.md
new file mode 100644
index 00000000000000..67208a48302ea0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_baranll0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_baranll0 DistilBertForQuestionAnswering from Baranll0
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_baranll0
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_baranll0` is a English model originally trained by Baranll0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_baranll0_en_5.5.1_3.0_1731280892679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_baranll0_en_5.5.1_3.0_1731280892679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_baranll0|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Baranll0/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_baranll0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_baranll0_pipeline_en.md
new file mode 100644
index 00000000000000..242222b3754520
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_baranll0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_baranll0_pipeline pipeline DistilBertForQuestionAnswering from Baranll0
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_baranll0_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_baranll0_pipeline` is a English model originally trained by Baranll0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_baranll0_pipeline_en_5.5.1_3.0_1731280912515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_baranll0_pipeline_en_5.5.1_3.0_1731280912515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_baranll0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_baranll0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_baranll0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Baranll0/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_sprenkamp_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_sprenkamp_en.md
new file mode 100644
index 00000000000000..3b12e654fdbf0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_sprenkamp_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_sprenkamp DistilBertForQuestionAnswering from sprenkamp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_sprenkamp
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_sprenkamp` is a English model originally trained by sprenkamp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sprenkamp_en_5.5.1_3.0_1731281165915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sprenkamp_en_5.5.1_3.0_1731281165915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_sprenkamp|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/sprenkamp/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline_en.md
new file mode 100644
index 00000000000000..76a4f7aeab72af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline pipeline DistilBertForQuestionAnswering from sprenkamp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline` is a English model originally trained by sprenkamp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline_en_5.5.1_3.0_1731281178653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline_en_5.5.1_3.0_1731281178653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_sprenkamp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sprenkamp/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_toxicchat_accelerate_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_toxicchat_accelerate_en.md
new file mode 100644
index 00000000000000..88a4771699ffe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_toxicchat_accelerate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_toxicchat_accelerate DistilBertEmbeddings from imcord
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_toxicchat_accelerate
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_toxicchat_accelerate` is a English model originally trained by imcord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_toxicchat_accelerate_en_5.5.1_3.0_1731282141997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_toxicchat_accelerate_en_5.5.1_3.0_1731282141997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_toxicchat_accelerate|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/imcord/distilbert-base-uncased-finetuned-toxicchat-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..0ad94025c00a43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline pipeline DistilBertEmbeddings from imcord
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline` is a English model originally trained by imcord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline_en_5.5.1_3.0_1731282155311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline_en_5.5.1_3.0_1731282155311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_toxicchat_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/imcord/distilbert-base-uncased-finetuned-toxicchat-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-dummy_model_minsik_oh_en.md b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_minsik_oh_en.md
new file mode 100644
index 00000000000000..0d860b9fd3fc62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_minsik_oh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_minsik_oh CamemBertEmbeddings from minsik-oh
+author: John Snow Labs
+name: dummy_model_minsik_oh
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, camembert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CamemBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_minsik_oh` is a English model originally trained by minsik-oh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_minsik_oh_en_5.5.1_3.0_1731281650536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_minsik_oh_en_5.5.1_3.0_1731281650536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_minsik_oh|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[camembert]|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/minsik-oh/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-dummy_model_minsik_oh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_minsik_oh_pipeline_en.md
new file mode 100644
index 00000000000000..782b385cdd5450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_minsik_oh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_minsik_oh_pipeline pipeline CamemBertEmbeddings from minsik-oh
+author: John Snow Labs
+name: dummy_model_minsik_oh_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_minsik_oh_pipeline` is a English model originally trained by minsik-oh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_minsik_oh_pipeline_en_5.5.1_3.0_1731281727740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_minsik_oh_pipeline_en_5.5.1_3.0_1731281727740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_minsik_oh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_minsik_oh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_minsik_oh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/minsik-oh/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-dummy_model_osanseviero_en.md b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_osanseviero_en.md
new file mode 100644
index 00000000000000..c400ea64cd7572
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_osanseviero_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_osanseviero CamemBertEmbeddings from osanseviero
+author: John Snow Labs
+name: dummy_model_osanseviero
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, camembert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CamemBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_osanseviero` is a English model originally trained by osanseviero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_osanseviero_en_5.5.1_3.0_1731281750854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_osanseviero_en_5.5.1_3.0_1731281750854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_osanseviero|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[camembert]|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/osanseviero/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-dummy_model_osanseviero_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_osanseviero_pipeline_en.md
new file mode 100644
index 00000000000000..3bc3689c116572
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-dummy_model_osanseviero_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_osanseviero_pipeline pipeline CamemBertEmbeddings from osanseviero
+author: John Snow Labs
+name: dummy_model_osanseviero_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_osanseviero_pipeline` is a English model originally trained by osanseviero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_osanseviero_pipeline_en_5.5.1_3.0_1731281825605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_osanseviero_pipeline_en_5.5.1_3.0_1731281825605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_osanseviero_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_osanseviero_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_osanseviero_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/osanseviero/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-duplicate1_en.md b/docs/_posts/ahmedlone127/2024-11-10-duplicate1_en.md
new file mode 100644
index 00000000000000..1c57689a92c63c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-duplicate1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English duplicate1 BertForTokenClassification from Somisetty2347
+author: John Snow Labs
+name: duplicate1
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`duplicate1` is a English model originally trained by Somisetty2347.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/duplicate1_en_5.5.1_3.0_1731280110525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/duplicate1_en_5.5.1_3.0_1731280110525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|duplicate1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/Somisetty2347/duplicate1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-duplicate1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-duplicate1_pipeline_en.md
new file mode 100644
index 00000000000000..256abcf0431f60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-duplicate1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English duplicate1_pipeline pipeline BertForTokenClassification from Somisetty2347
+author: John Snow Labs
+name: duplicate1_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`duplicate1_pipeline` is a English model originally trained by Somisetty2347.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/duplicate1_pipeline_en_5.5.1_3.0_1731280134766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/duplicate1_pipeline_en_5.5.1_3.0_1731280134766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("duplicate1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("duplicate1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|duplicate1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/Somisetty2347/duplicate1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-finetuned_bert_chinese_base_en.md b/docs/_posts/ahmedlone127/2024-11-10-finetuned_bert_chinese_base_en.md
new file mode 100644
index 00000000000000..b997cad0590ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-finetuned_bert_chinese_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_bert_chinese_base BertForTokenClassification from r45289
+author: John Snow Labs
+name: finetuned_bert_chinese_base
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_chinese_base` is a English model originally trained by r45289.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_chinese_base_en_5.5.1_3.0_1731279959385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_chinese_base_en_5.5.1_3.0_1731279959385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_chinese_base|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/r45289/finetuned-bert-chinese-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-finetuned_bert_chinese_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-finetuned_bert_chinese_base_pipeline_en.md
new file mode 100644
index 00000000000000..364fc96fd407cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-finetuned_bert_chinese_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_bert_chinese_base_pipeline pipeline BertForTokenClassification from r45289
+author: John Snow Labs
+name: finetuned_bert_chinese_base_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_chinese_base_pipeline` is a English model originally trained by r45289.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_chinese_base_pipeline_en_5.5.1_3.0_1731279980123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_chinese_base_pipeline_en_5.5.1_3.0_1731279980123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bert_chinese_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bert_chinese_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_chinese_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/r45289/finetuned-bert-chinese-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-german_medical_ner_de.md b/docs/_posts/ahmedlone127/2024-11-10-german_medical_ner_de.md
new file mode 100644
index 00000000000000..aab353afee4e70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-german_medical_ner_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German german_medical_ner BertForTokenClassification from HUMADEX
+author: John Snow Labs
+name: german_medical_ner
+date: 2024-11-10
+tags: [de, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_medical_ner` is a German model originally trained by HUMADEX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_medical_ner_de_5.5.1_3.0_1731280121721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_medical_ner_de_5.5.1_3.0_1731280121721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_medical_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/HUMADEX/german_medical_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-german_medical_ner_pipeline_de.md b/docs/_posts/ahmedlone127/2024-11-10-german_medical_ner_pipeline_de.md
new file mode 100644
index 00000000000000..c0ef2c609f6c85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-german_medical_ner_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German german_medical_ner_pipeline pipeline BertForTokenClassification from HUMADEX
+author: John Snow Labs
+name: german_medical_ner_pipeline
+date: 2024-11-10
+tags: [de, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_medical_ner_pipeline` is a German model originally trained by HUMADEX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_medical_ner_pipeline_de_5.5.1_3.0_1731280146620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_medical_ner_pipeline_de_5.5.1_3.0_1731280146620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("german_medical_ner_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("german_medical_ner_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_medical_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/HUMADEX/german_medical_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-ijelid_indobertweet_en.md b/docs/_posts/ahmedlone127/2024-11-10-ijelid_indobertweet_en.md
new file mode 100644
index 00000000000000..c8e6cb67895d7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-ijelid_indobertweet_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ijelid_indobertweet BertForTokenClassification from fathan
+author: John Snow Labs
+name: ijelid_indobertweet
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ijelid_indobertweet` is a English model originally trained by fathan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ijelid_indobertweet_en_5.5.1_3.0_1731279940333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ijelid_indobertweet_en_5.5.1_3.0_1731279940333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ijelid_indobertweet|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|411.8 MB|
+
+## References
+
+https://huggingface.co/fathan/ijelid-indobertweet
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-ijelid_indobertweet_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-ijelid_indobertweet_pipeline_en.md
new file mode 100644
index 00000000000000..8f87aadc297849
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-ijelid_indobertweet_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ijelid_indobertweet_pipeline pipeline BertForTokenClassification from fathan
+author: John Snow Labs
+name: ijelid_indobertweet_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ijelid_indobertweet_pipeline` is a English model originally trained by fathan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ijelid_indobertweet_pipeline_en_5.5.1_3.0_1731279965018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ijelid_indobertweet_pipeline_en_5.5.1_3.0_1731279965018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ijelid_indobertweet_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ijelid_indobertweet_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ijelid_indobertweet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/fathan/ijelid-indobertweet
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-indobert_large_p2_finetuned_ner_id.md b/docs/_posts/ahmedlone127/2024-11-10-indobert_large_p2_finetuned_ner_id.md
new file mode 100644
index 00000000000000..9932e9305b0ce3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-indobert_large_p2_finetuned_ner_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian indobert_large_p2_finetuned_ner BertForTokenClassification from ageng-anugrah
+author: John Snow Labs
+name: indobert_large_p2_finetuned_ner
+date: 2024-11-10
+tags: [id, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_large_p2_finetuned_ner` is a Indonesian model originally trained by ageng-anugrah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_large_p2_finetuned_ner_id_5.5.1_3.0_1731279404489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_large_p2_finetuned_ner_id_5.5.1_3.0_1731279404489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_large_p2_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|id|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ageng-anugrah/indobert-large-p2-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-indobert_large_p2_finetuned_ner_pipeline_id.md b/docs/_posts/ahmedlone127/2024-11-10-indobert_large_p2_finetuned_ner_pipeline_id.md
new file mode 100644
index 00000000000000..fb086b30fb1fba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-indobert_large_p2_finetuned_ner_pipeline_id.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Indonesian indobert_large_p2_finetuned_ner_pipeline pipeline BertForTokenClassification from ageng-anugrah
+author: John Snow Labs
+name: indobert_large_p2_finetuned_ner_pipeline
+date: 2024-11-10
+tags: [id, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_large_p2_finetuned_ner_pipeline` is a Indonesian model originally trained by ageng-anugrah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_large_p2_finetuned_ner_pipeline_id_5.5.1_3.0_1731279467948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_large_p2_finetuned_ner_pipeline_id_5.5.1_3.0_1731279467948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indobert_large_p2_finetuned_ner_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indobert_large_p2_finetuned_ner_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_large_p2_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ageng-anugrah/indobert-large-p2-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-inhibitor_distilbert_en.md b/docs/_posts/ahmedlone127/2024-11-10-inhibitor_distilbert_en.md
new file mode 100644
index 00000000000000..92db8c91100ed4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-inhibitor_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English inhibitor_distilbert DistilBertEmbeddings from tonytonfisk
+author: John Snow Labs
+name: inhibitor_distilbert
+date: 2024-11-10
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inhibitor_distilbert` is a English model originally trained by tonytonfisk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inhibitor_distilbert_en_5.5.1_3.0_1731282144663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inhibitor_distilbert_en_5.5.1_3.0_1731282144663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inhibitor_distilbert|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|248.3 MB|
+
+## References
+
+https://huggingface.co/tonytonfisk/inhibitor_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-inhibitor_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-inhibitor_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..aa43c9100a1a97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-inhibitor_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inhibitor_distilbert_pipeline pipeline DistilBertEmbeddings from tonytonfisk
+author: John Snow Labs
+name: inhibitor_distilbert_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inhibitor_distilbert_pipeline` is a English model originally trained by tonytonfisk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inhibitor_distilbert_pipeline_en_5.5.1_3.0_1731282159228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inhibitor_distilbert_pipeline_en_5.5.1_3.0_1731282159228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inhibitor_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inhibitor_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inhibitor_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|248.3 MB|
+
+## References
+
+https://huggingface.co/tonytonfisk/inhibitor_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-mbert_finnic_ner_en.md b/docs/_posts/ahmedlone127/2024-11-10-mbert_finnic_ner_en.md
new file mode 100644
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@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mbert_finnic_ner BertForTokenClassification from azizbarank
+author: John Snow Labs
+name: mbert_finnic_ner
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_finnic_ner` is a English model originally trained by azizbarank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_finnic_ner_en_5.5.1_3.0_1731279727500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_finnic_ner_en_5.5.1_3.0_1731279727500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_finnic_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/azizbarank/mbert-finnic-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-mbert_finnic_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-mbert_finnic_ner_pipeline_en.md
new file mode 100644
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+---
+layout: model
+title: English mbert_finnic_ner_pipeline pipeline BertForTokenClassification from azizbarank
+author: John Snow Labs
+name: mbert_finnic_ner_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_finnic_ner_pipeline` is a English model originally trained by azizbarank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_finnic_ner_pipeline_en_5.5.1_3.0_1731279762269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_finnic_ner_pipeline_en_5.5.1_3.0_1731279762269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbert_finnic_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbert_finnic_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_finnic_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/azizbarank/mbert-finnic-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-medlid_en.md b/docs/_posts/ahmedlone127/2024-11-10-medlid_en.md
new file mode 100644
index 00000000000000..e65ad60dda99c7
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+---
+layout: model
+title: English medlid BertForTokenClassification from onionLad
+author: John Snow Labs
+name: medlid
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medlid` is a English model originally trained by onionLad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medlid_en_5.5.1_3.0_1731280081924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medlid_en_5.5.1_3.0_1731280081924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medlid|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/onionLad/medlid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-medlid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-medlid_pipeline_en.md
new file mode 100644
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--- /dev/null
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+---
+layout: model
+title: English medlid_pipeline pipeline BertForTokenClassification from onionLad
+author: John Snow Labs
+name: medlid_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medlid_pipeline` is a English model originally trained by onionLad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medlid_pipeline_en_5.5.1_3.0_1731280109992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medlid_pipeline_en_5.5.1_3.0_1731280109992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medlid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medlid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medlid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/onionLad/medlid
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-mountains_ner_model_en.md b/docs/_posts/ahmedlone127/2024-11-10-mountains_ner_model_en.md
new file mode 100644
index 00000000000000..a8bd812e360179
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-mountains_ner_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mountains_ner_model BertForTokenClassification from telord
+author: John Snow Labs
+name: mountains_ner_model
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mountains_ner_model` is a English model originally trained by telord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mountains_ner_model_en_5.5.1_3.0_1731279562174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mountains_ner_model_en_5.5.1_3.0_1731279562174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mountains_ner_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/telord/mountains-ner-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-mountains_ner_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-mountains_ner_model_pipeline_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-mountains_ner_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mountains_ner_model_pipeline pipeline BertForTokenClassification from telord
+author: John Snow Labs
+name: mountains_ner_model_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mountains_ner_model_pipeline` is a English model originally trained by telord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mountains_ner_model_pipeline_en_5.5.1_3.0_1731279587775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mountains_ner_model_pipeline_en_5.5.1_3.0_1731279587775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mountains_ner_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mountains_ner_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mountains_ner_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/telord/mountains-ner-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-ner_rubert_finetuned_en.md b/docs/_posts/ahmedlone127/2024-11-10-ner_rubert_finetuned_en.md
new file mode 100644
index 00000000000000..a005f107af75df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-ner_rubert_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_rubert_finetuned BertForTokenClassification from FlewRr
+author: John Snow Labs
+name: ner_rubert_finetuned
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_rubert_finetuned` is a English model originally trained by FlewRr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_rubert_finetuned_en_5.5.1_3.0_1731279899847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_rubert_finetuned_en_5.5.1_3.0_1731279899847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_rubert_finetuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|667.1 MB|
+
+## References
+
+https://huggingface.co/FlewRr/NER-ruBert-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-ner_rubert_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-ner_rubert_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..da687be5bd50ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-ner_rubert_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_rubert_finetuned_pipeline pipeline BertForTokenClassification from FlewRr
+author: John Snow Labs
+name: ner_rubert_finetuned_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_rubert_finetuned_pipeline` is a English model originally trained by FlewRr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_rubert_finetuned_pipeline_en_5.5.1_3.0_1731279936268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_rubert_finetuned_pipeline_en_5.5.1_3.0_1731279936268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_rubert_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_rubert_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_rubert_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.1 MB|
+
+## References
+
+https://huggingface.co/FlewRr/NER-ruBert-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-nucha_itskillner_bert_en.md b/docs/_posts/ahmedlone127/2024-11-10-nucha_itskillner_bert_en.md
new file mode 100644
index 00000000000000..bb497d4f96f9c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-nucha_itskillner_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nucha_itskillner_bert BertForTokenClassification from Nucha
+author: John Snow Labs
+name: nucha_itskillner_bert
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nucha_itskillner_bert` is a English model originally trained by Nucha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nucha_itskillner_bert_en_5.5.1_3.0_1731279445449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nucha_itskillner_bert_en_5.5.1_3.0_1731279445449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nucha_itskillner_bert|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Nucha/Nucha_ITSkillNER_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-nucha_itskillner_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-nucha_itskillner_bert_pipeline_en.md
new file mode 100644
index 00000000000000..fee995d1a8a977
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-nucha_itskillner_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nucha_itskillner_bert_pipeline pipeline BertForTokenClassification from Nucha
+author: John Snow Labs
+name: nucha_itskillner_bert_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nucha_itskillner_bert_pipeline` is a English model originally trained by Nucha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nucha_itskillner_bert_pipeline_en_5.5.1_3.0_1731279466576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nucha_itskillner_bert_pipeline_en_5.5.1_3.0_1731279466576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nucha_itskillner_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nucha_itskillner_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nucha_itskillner_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Nucha/Nucha_ITSkillNER_BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-pii_mbert_azerbaijani_en.md b/docs/_posts/ahmedlone127/2024-11-10-pii_mbert_azerbaijani_en.md
new file mode 100644
index 00000000000000..4121771e83fe48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-pii_mbert_azerbaijani_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pii_mbert_azerbaijani BertForTokenClassification from toghrultahirov
+author: John Snow Labs
+name: pii_mbert_azerbaijani
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pii_mbert_azerbaijani` is a English model originally trained by toghrultahirov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pii_mbert_azerbaijani_en_5.5.1_3.0_1731280115377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pii_mbert_azerbaijani_en_5.5.1_3.0_1731280115377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pii_mbert_azerbaijani|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/toghrultahirov/pii_mbert_az
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-pii_mbert_azerbaijani_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-pii_mbert_azerbaijani_pipeline_en.md
new file mode 100644
index 00000000000000..47e34e24c9e9fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-pii_mbert_azerbaijani_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pii_mbert_azerbaijani_pipeline pipeline BertForTokenClassification from toghrultahirov
+author: John Snow Labs
+name: pii_mbert_azerbaijani_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pii_mbert_azerbaijani_pipeline` is a English model originally trained by toghrultahirov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pii_mbert_azerbaijani_pipeline_en_5.5.1_3.0_1731280155707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pii_mbert_azerbaijani_pipeline_en_5.5.1_3.0_1731280155707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pii_mbert_azerbaijani_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pii_mbert_azerbaijani_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pii_mbert_azerbaijani_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/toghrultahirov/pii_mbert_az
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-practica_3_model_en.md b/docs/_posts/ahmedlone127/2024-11-10-practica_3_model_en.md
new file mode 100644
index 00000000000000..5935bf05c5eecb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-practica_3_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English practica_3_model DistilBertForQuestionAnswering from Almancy
+author: John Snow Labs
+name: practica_3_model
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`practica_3_model` is a English model originally trained by Almancy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/practica_3_model_en_5.5.1_3.0_1731280883866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/practica_3_model_en_5.5.1_3.0_1731280883866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|practica_3_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Almancy/practica_3_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-practica_3_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-practica_3_model_pipeline_en.md
new file mode 100644
index 00000000000000..f3301ae884f6ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-practica_3_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English practica_3_model_pipeline pipeline DistilBertForQuestionAnswering from Almancy
+author: John Snow Labs
+name: practica_3_model_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`practica_3_model_pipeline` is a English model originally trained by Almancy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/practica_3_model_pipeline_en_5.5.1_3.0_1731280897108.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/practica_3_model_pipeline_en_5.5.1_3.0_1731280897108.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("practica_3_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("practica_3_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|practica_3_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Almancy/practica_3_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-queryner_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-11-10-queryner_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..731545bfff3292
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-queryner_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English queryner_bert_base_uncased BertForTokenClassification from bltlab
+author: John Snow Labs
+name: queryner_bert_base_uncased
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`queryner_bert_base_uncased` is a English model originally trained by bltlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/queryner_bert_base_uncased_en_5.5.1_3.0_1731279498347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/queryner_bert_base_uncased_en_5.5.1_3.0_1731279498347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|queryner_bert_base_uncased|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/bltlab/queryner-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-queryner_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-queryner_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..16cdd03ed7df0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-queryner_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English queryner_bert_base_uncased_pipeline pipeline BertForTokenClassification from bltlab
+author: John Snow Labs
+name: queryner_bert_base_uncased_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`queryner_bert_base_uncased_pipeline` is a English model originally trained by bltlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/queryner_bert_base_uncased_pipeline_en_5.5.1_3.0_1731279519243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/queryner_bert_base_uncased_pipeline_en_5.5.1_3.0_1731279519243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("queryner_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("queryner_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|queryner_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/bltlab/queryner-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-rubert_address_elements_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-11-10-rubert_address_elements_pipeline_ru.md
new file mode 100644
index 00000000000000..bf04cac1e49356
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-rubert_address_elements_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian rubert_address_elements_pipeline pipeline BertForTokenClassification from qwazer
+author: John Snow Labs
+name: rubert_address_elements_pipeline
+date: 2024-11-10
+tags: [ru, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: ru
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_address_elements_pipeline` is a Russian model originally trained by qwazer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_address_elements_pipeline_ru_5.5.1_3.0_1731279362868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_address_elements_pipeline_ru_5.5.1_3.0_1731279362868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_address_elements_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_address_elements_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_address_elements_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|109.2 MB|
+
+## References
+
+https://huggingface.co/qwazer/rubert-address-elements
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-rubert_address_elements_ru.md b/docs/_posts/ahmedlone127/2024-11-10-rubert_address_elements_ru.md
new file mode 100644
index 00000000000000..9a577a3f530fe8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-rubert_address_elements_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian rubert_address_elements BertForTokenClassification from qwazer
+author: John Snow Labs
+name: rubert_address_elements
+date: 2024-11-10
+tags: [ru, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: ru
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_address_elements` is a Russian model originally trained by qwazer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_address_elements_ru_5.5.1_3.0_1731279357401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_address_elements_ru_5.5.1_3.0_1731279357401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_afriberta_v2_large|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|698.8 MB|
+
+## References
+
+https://huggingface.co/castorini/afriberta_v2_large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-sent_afriberta_v2_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-sent_afriberta_v2_large_pipeline_en.md
new file mode 100644
index 00000000000000..c960cb84a67faa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-sent_afriberta_v2_large_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_afriberta_v2_large_pipeline pipeline XlmRoBertaSentenceEmbeddings from castorini
+author: John Snow Labs
+name: sent_afriberta_v2_large_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_afriberta_v2_large_pipeline` is a English model originally trained by castorini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_afriberta_v2_large_pipeline_en_5.5.1_3.0_1731282623156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_afriberta_v2_large_pipeline_en_5.5.1_3.0_1731282623156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_afriberta_v2_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_afriberta_v2_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_afriberta_v2_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|699.3 MB|
+
+## References
+
+https://huggingface.co/castorini/afriberta_v2_large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-social_bias_ner_en.md b/docs/_posts/ahmedlone127/2024-11-10-social_bias_ner_en.md
new file mode 100644
index 00000000000000..5211ed4e32043b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-social_bias_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English social_bias_ner BertForTokenClassification from ethical-spectacle
+author: John Snow Labs
+name: social_bias_ner
+date: 2024-11-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_bias_ner` is a English model originally trained by ethical-spectacle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_bias_ner_en_5.5.1_3.0_1731279695568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_bias_ner_en_5.5.1_3.0_1731279695568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_bias_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ethical-spectacle/social-bias-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-social_bias_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-social_bias_ner_pipeline_en.md
new file mode 100644
index 00000000000000..145a52b8e042c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-social_bias_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English social_bias_ner_pipeline pipeline BertForTokenClassification from ethical-spectacle
+author: John Snow Labs
+name: social_bias_ner_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_bias_ner_pipeline` is a English model originally trained by ethical-spectacle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_bias_ner_pipeline_en_5.5.1_3.0_1731279717050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_bias_ner_pipeline_en_5.5.1_3.0_1731279717050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("social_bias_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("social_bias_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_bias_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ethical-spectacle/social-bias-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-training_distilbert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-11-10-training_distilbert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 00000000000000..1ac813bf6eeed4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-training_distilbert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English training_distilbert_base_uncased_finetuned_squad DistilBertForQuestionAnswering from lizchu414
+author: John Snow Labs
+name: training_distilbert_base_uncased_finetuned_squad
+date: 2024-11-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_distilbert_base_uncased_finetuned_squad` is a English model originally trained by lizchu414.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_distilbert_base_uncased_finetuned_squad_en_5.5.1_3.0_1731280892071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_distilbert_base_uncased_finetuned_squad_en_5.5.1_3.0_1731280892071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|training_distilbert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/lizchu414/training-distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-10-training_distilbert_base_uncased_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-10-training_distilbert_base_uncased_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..4e86ecff7fe32c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-10-training_distilbert_base_uncased_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English training_distilbert_base_uncased_finetuned_squad_pipeline pipeline DistilBertForQuestionAnswering from lizchu414
+author: John Snow Labs
+name: training_distilbert_base_uncased_finetuned_squad_pipeline
+date: 2024-11-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_distilbert_base_uncased_finetuned_squad_pipeline` is a English model originally trained by lizchu414.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_distilbert_base_uncased_finetuned_squad_pipeline_en_5.5.1_3.0_1731280905863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_distilbert_base_uncased_finetuned_squad_pipeline_en_5.5.1_3.0_1731280905863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("training_distilbert_base_uncased_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("training_distilbert_base_uncased_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|training_distilbert_base_uncased_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/lizchu414/training-distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-4248_spanbert_base_en.md b/docs/_posts/ahmedlone127/2024-11-11-4248_spanbert_base_en.md
new file mode 100644
index 00000000000000..fab5242f737d5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-4248_spanbert_base_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English 4248_spanbert_base BertForQuestionAnswering from JMatthewChiam
+author: John Snow Labs
+name: 4248_spanbert_base
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4248_spanbert_base` is a English model originally trained by JMatthewChiam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4248_spanbert_base_en_5.5.1_3.0_1731288773376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4248_spanbert_base_en_5.5.1_3.0_1731288773376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4248_spanbert_base|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|402.9 MB|
+
+## References
+
+https://huggingface.co/JMatthewChiam/4248-spanBERT-Base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-4248_spanbert_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-4248_spanbert_base_pipeline_en.md
new file mode 100644
index 00000000000000..ee07cc7489f981
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-4248_spanbert_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English 4248_spanbert_base_pipeline pipeline BertForQuestionAnswering from JMatthewChiam
+author: John Snow Labs
+name: 4248_spanbert_base_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4248_spanbert_base_pipeline` is a English model originally trained by JMatthewChiam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4248_spanbert_base_pipeline_en_5.5.1_3.0_1731288794996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4248_spanbert_base_pipeline_en_5.5.1_3.0_1731288794996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("4248_spanbert_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("4248_spanbert_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4248_spanbert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|402.9 MB|
+
+## References
+
+https://huggingface.co/JMatthewChiam/4248-spanBERT-Base
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-affilgood_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-affilgood_ner_en.md
new file mode 100644
index 00000000000000..8af9a2eeb5fc6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-affilgood_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English affilgood_ner RoBertaForTokenClassification from SIRIS-Lab
+author: John Snow Labs
+name: affilgood_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affilgood_ner` is a English model originally trained by SIRIS-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affilgood_ner_en_5.5.1_3.0_1731311681436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affilgood_ner_en_5.5.1_3.0_1731311681436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affilgood_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/SIRIS-Lab/affilgood-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-affilgood_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-affilgood_ner_pipeline_en.md
new file mode 100644
index 00000000000000..7c40efccefdad7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-affilgood_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English affilgood_ner_pipeline pipeline RoBertaForTokenClassification from SIRIS-Lab
+author: John Snow Labs
+name: affilgood_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affilgood_ner_pipeline` is a English model originally trained by SIRIS-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affilgood_ner_pipeline_en_5.5.1_3.0_1731311706201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affilgood_ner_pipeline_en_5.5.1_3.0_1731311706201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("affilgood_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("affilgood_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affilgood_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/SIRIS-Lab/affilgood-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-albert_dataset1_en.md b/docs/_posts/ahmedlone127/2024-11-11-albert_dataset1_en.md
new file mode 100644
index 00000000000000..8f4626395f9975
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-albert_dataset1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_dataset1 AlbertForSequenceClassification from aminajunaid0
+author: John Snow Labs
+name: albert_dataset1
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_dataset1` is a English model originally trained by aminajunaid0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_dataset1_en_5.5.1_3.0_1731296925732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_dataset1_en_5.5.1_3.0_1731296925732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_dataset1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/aminajunaid0/Albert_Dataset1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-albert_dataset1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-albert_dataset1_pipeline_en.md
new file mode 100644
index 00000000000000..4c0b7e573eb04c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-albert_dataset1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_dataset1_pipeline pipeline AlbertForSequenceClassification from aminajunaid0
+author: John Snow Labs
+name: albert_dataset1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_dataset1_pipeline` is a English model originally trained by aminajunaid0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_dataset1_pipeline_en_5.5.1_3.0_1731296927971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_dataset1_pipeline_en_5.5.1_3.0_1731296927971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_dataset1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_dataset1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_dataset1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/aminajunaid0/Albert_Dataset1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-alephbertgimmel_parashoot_he.md b/docs/_posts/ahmedlone127/2024-11-11-alephbertgimmel_parashoot_he.md
new file mode 100644
index 00000000000000..036f0606d08beb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-alephbertgimmel_parashoot_he.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Hebrew alephbertgimmel_parashoot BertForQuestionAnswering from imvladikon
+author: John Snow Labs
+name: alephbertgimmel_parashoot
+date: 2024-11-11
+tags: [he, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: he
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alephbertgimmel_parashoot` is a Hebrew model originally trained by imvladikon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alephbertgimmel_parashoot_he_5.5.1_3.0_1731289180085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alephbertgimmel_parashoot_he_5.5.1_3.0_1731289180085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_tomaarsen|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/tomaarsen/all-mpnet-base-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-all_mpnet_base_v2_tomaarsen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-all_mpnet_base_v2_tomaarsen_pipeline_en.md
new file mode 100644
index 00000000000000..05d6ac0d199286
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-all_mpnet_base_v2_tomaarsen_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_tomaarsen_pipeline pipeline MPNetEmbeddings from tomaarsen
+author: John Snow Labs
+name: all_mpnet_base_v2_tomaarsen_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_base_v2_tomaarsen_pipeline` is a English model originally trained by tomaarsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_tomaarsen_pipeline_en_5.5.1_3.0_1731295120658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_tomaarsen_pipeline_en_5.5.1_3.0_1731295120658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_tomaarsen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_tomaarsen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_tomaarsen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/tomaarsen/all-mpnet-base-v2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-aspect_based_sentiment_analyzer_using_bert_en.md b/docs/_posts/ahmedlone127/2024-11-11-aspect_based_sentiment_analyzer_using_bert_en.md
new file mode 100644
index 00000000000000..ab80e5ab9f3e0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-aspect_based_sentiment_analyzer_using_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English aspect_based_sentiment_analyzer_using_bert BertForSequenceClassification from srimeenakshiks
+author: John Snow Labs
+name: aspect_based_sentiment_analyzer_using_bert
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aspect_based_sentiment_analyzer_using_bert` is a English model originally trained by srimeenakshiks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aspect_based_sentiment_analyzer_using_bert_en_5.5.1_3.0_1731309636675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aspect_based_sentiment_analyzer_using_bert_en_5.5.1_3.0_1731309636675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aspect_based_sentiment_analyzer_using_bert|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/srimeenakshiks/aspect-based-sentiment-analyzer-using-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-auto_adver_en.md b/docs/_posts/ahmedlone127/2024-11-11-auto_adver_en.md
new file mode 100644
index 00000000000000..acb4e1755b83d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-auto_adver_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English auto_adver BertForTokenClassification from Phil-AT
+author: John Snow Labs
+name: auto_adver
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`auto_adver` is a English model originally trained by Phil-AT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/auto_adver_en_5.5.1_3.0_1731299498613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/auto_adver_en_5.5.1_3.0_1731299498613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|auto_adver|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Phil-AT/Auto-Adver
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-auto_adver_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-auto_adver_pipeline_en.md
new file mode 100644
index 00000000000000..1ba9a77efacb57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-auto_adver_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English auto_adver_pipeline pipeline BertForTokenClassification from Phil-AT
+author: John Snow Labs
+name: auto_adver_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`auto_adver_pipeline` is a English model originally trained by Phil-AT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/auto_adver_pipeline_en_5.5.1_3.0_1731299561942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/auto_adver_pipeline_en_5.5.1_3.0_1731299561942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("auto_adver_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("auto_adver_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|auto_adver_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Phil-AT/Auto-Adver
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-autotrain_gamblingtips_43804110844_en.md b/docs/_posts/ahmedlone127/2024-11-11-autotrain_gamblingtips_43804110844_en.md
new file mode 100644
index 00000000000000..4dea1d91bc0d82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-autotrain_gamblingtips_43804110844_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English autotrain_gamblingtips_43804110844 BertForQuestionAnswering from Berrisaur
+author: John Snow Labs
+name: autotrain_gamblingtips_43804110844
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_gamblingtips_43804110844` is a English model originally trained by Berrisaur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_gamblingtips_43804110844_en_5.5.1_3.0_1731289457467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_gamblingtips_43804110844_en_5.5.1_3.0_1731289457467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_gamblingtips_43804110844|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Berrisaur/autotrain-gamblingtips-43804110844
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-autotrain_gamblingtips_43804110844_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-autotrain_gamblingtips_43804110844_pipeline_en.md
new file mode 100644
index 00000000000000..a5ad5671bbf392
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-autotrain_gamblingtips_43804110844_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English autotrain_gamblingtips_43804110844_pipeline pipeline BertForQuestionAnswering from Berrisaur
+author: John Snow Labs
+name: autotrain_gamblingtips_43804110844_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_gamblingtips_43804110844_pipeline` is a English model originally trained by Berrisaur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_gamblingtips_43804110844_pipeline_en_5.5.1_3.0_1731289523769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_gamblingtips_43804110844_pipeline_en_5.5.1_3.0_1731289523769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_gamblingtips_43804110844_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_gamblingtips_43804110844_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_gamblingtips_43804110844_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Berrisaur/autotrain-gamblingtips-43804110844
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-autotrain_nzog3_ca819_en.md b/docs/_posts/ahmedlone127/2024-11-11-autotrain_nzog3_ca819_en.md
new file mode 100644
index 00000000000000..289dcdde1404d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-autotrain_nzog3_ca819_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_nzog3_ca819 MPNetForSequenceClassification from ulisesbravo
+author: John Snow Labs
+name: autotrain_nzog3_ca819
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_nzog3_ca819` is a English model originally trained by ulisesbravo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_nzog3_ca819_en_5.5.1_3.0_1731301504833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_nzog3_ca819_en_5.5.1_3.0_1731301504833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_nzog3_ca819|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/ulisesbravo/autotrain-nzog3-ca819
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-autotrain_nzog3_ca819_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-autotrain_nzog3_ca819_pipeline_en.md
new file mode 100644
index 00000000000000..7b5800c54a6b56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-autotrain_nzog3_ca819_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_nzog3_ca819_pipeline pipeline MPNetForSequenceClassification from ulisesbravo
+author: John Snow Labs
+name: autotrain_nzog3_ca819_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_nzog3_ca819_pipeline` is a English model originally trained by ulisesbravo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_nzog3_ca819_pipeline_en_5.5.1_3.0_1731301527188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_nzog3_ca819_pipeline_en_5.5.1_3.0_1731301527188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_nzog3_ca819_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_nzog3_ca819_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_nzog3_ca819_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/ulisesbravo/autotrain-nzog3-ca819
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-banglabert_qa_en.md b/docs/_posts/ahmedlone127/2024-11-11-banglabert_qa_en.md
new file mode 100644
index 00000000000000..d6f037773497a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-banglabert_qa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English banglabert_qa BertForQuestionAnswering from sanzanalora
+author: John Snow Labs
+name: banglabert_qa
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banglabert_qa` is a English model originally trained by sanzanalora.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banglabert_qa_en_5.5.1_3.0_1731307694600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banglabert_qa_en_5.5.1_3.0_1731307694600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert_qa|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/sanzanalora/banglabert-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-banglabert_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-banglabert_qa_pipeline_en.md
new file mode 100644
index 00000000000000..d3a3acf3d80a0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-banglabert_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English banglabert_qa_pipeline pipeline BertForQuestionAnswering from sanzanalora
+author: John Snow Labs
+name: banglabert_qa_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banglabert_qa_pipeline` is a English model originally trained by sanzanalora.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banglabert_qa_pipeline_en_5.5.1_3.0_1731307717699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banglabert_qa_pipeline_en_5.5.1_3.0_1731307717699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("banglabert_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("banglabert_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/sanzanalora/banglabert-qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_340m_ft_first_1000_pref_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_340m_ft_first_1000_pref_en.md
new file mode 100644
index 00000000000000..9fa6307ce1f59f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_340m_ft_first_1000_pref_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_340m_ft_first_1000_pref BertForSequenceClassification from SeppeV
+author: John Snow Labs
+name: bert_340m_ft_first_1000_pref
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_340m_ft_first_1000_pref` is a English model originally trained by SeppeV.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_340m_ft_first_1000_pref_en_5.5.1_3.0_1731309886322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_340m_ft_first_1000_pref_en_5.5.1_3.0_1731309886322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_340m_ft_first_1000_pref|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SeppeV/bert_340M_ft_first_1000_pref
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_340m_ft_first_1000_pref_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_340m_ft_first_1000_pref_pipeline_en.md
new file mode 100644
index 00000000000000..d2d9ac3c3a8b08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_340m_ft_first_1000_pref_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_340m_ft_first_1000_pref_pipeline pipeline BertForSequenceClassification from SeppeV
+author: John Snow Labs
+name: bert_340m_ft_first_1000_pref_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_340m_ft_first_1000_pref_pipeline` is a English model originally trained by SeppeV.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_340m_ft_first_1000_pref_pipeline_en_5.5.1_3.0_1731309950078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_340m_ft_first_1000_pref_pipeline_en_5.5.1_3.0_1731309950078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_340m_ft_first_1000_pref_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_340m_ft_first_1000_pref_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_340m_ft_first_1000_pref_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SeppeV/bert_340M_ft_first_1000_pref
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_abbrev_cased_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_abbrev_cased_en.md
new file mode 100644
index 00000000000000..6c7e0b4259682b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_abbrev_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_abbrev_cased BertForTokenClassification from batterydata
+author: John Snow Labs
+name: bert_abbrev_cased
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_abbrev_cased` is a English model originally trained by batterydata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_abbrev_cased_en_5.5.1_3.0_1731290509572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_abbrev_cased_en_5.5.1_3.0_1731290509572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_abbrev_cased|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/batterydata/bert-abbrev-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_abbrev_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_abbrev_cased_pipeline_en.md
new file mode 100644
index 00000000000000..7b6f92646d60e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_abbrev_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_abbrev_cased_pipeline pipeline BertForTokenClassification from batterydata
+author: John Snow Labs
+name: bert_abbrev_cased_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_abbrev_cased_pipeline` is a English model originally trained by batterydata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_abbrev_cased_pipeline_en_5.5.1_3.0_1731290530928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_abbrev_cased_pipeline_en_5.5.1_3.0_1731290530928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_abbrev_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_abbrev_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_abbrev_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/batterydata/bert-abbrev-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_arabert_bioner_english_arabic_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_arabert_bioner_english_arabic_en.md
new file mode 100644
index 00000000000000..4920bbd7f432f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_arabert_bioner_english_arabic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_arabert_bioner_english_arabic BertForTokenClassification from StivenLancheros
+author: John Snow Labs
+name: bert_base_arabert_bioner_english_arabic
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_arabert_bioner_english_arabic` is a English model originally trained by StivenLancheros.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabert_bioner_english_arabic_en_5.5.1_3.0_1731286022889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabert_bioner_english_arabic_en_5.5.1_3.0_1731286022889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabert_bioner_english_arabic|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/StivenLancheros/bert-base-arabert-BioNER-EN-AR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_arabert_bioner_english_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_arabert_bioner_english_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..ae57ca59e1ee70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_arabert_bioner_english_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_arabert_bioner_english_arabic_pipeline pipeline BertForTokenClassification from StivenLancheros
+author: John Snow Labs
+name: bert_base_arabert_bioner_english_arabic_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_arabert_bioner_english_arabic_pipeline` is a English model originally trained by StivenLancheros.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabert_bioner_english_arabic_pipeline_en_5.5.1_3.0_1731286049165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabert_bioner_english_arabic_pipeline_en_5.5.1_3.0_1731286049165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabert_bioner_english_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabert_bioner_english_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabert_bioner_english_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/StivenLancheros/bert-base-arabert-BioNER-EN-AR
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_finetuned_ner_en.md
new file mode 100644
index 00000000000000..d7fdba3275af57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_ner BertForTokenClassification from yuridrcosta
+author: John Snow Labs
+name: bert_base_cased_finetuned_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_ner` is a English model originally trained by yuridrcosta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_en_5.5.1_3.0_1731298877348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_en_5.5.1_3.0_1731298877348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/yuridrcosta/bert-base-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..859cf1160e45d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_ner_pipeline pipeline BertForTokenClassification from yuridrcosta
+author: John Snow Labs
+name: bert_base_cased_finetuned_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_ner_pipeline` is a English model originally trained by yuridrcosta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_pipeline_en_5.5.1_3.0_1731298898561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_pipeline_en_5.5.1_3.0_1731298898561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/yuridrcosta/bert-base-cased-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_mnli_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_mnli_en.md
new file mode 100644
index 00000000000000..a4d2055afcc2b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_mnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_mnli BertForSequenceClassification from WillHeld
+author: John Snow Labs
+name: bert_base_cased_mnli
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_mnli` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_mnli_en_5.5.1_3.0_1731309647852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_mnli_en_5.5.1_3.0_1731309647852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_mnli|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/WillHeld/bert-base-cased-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_mnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_mnli_pipeline_en.md
new file mode 100644
index 00000000000000..fcab768f11c4fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_cased_mnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_mnli_pipeline pipeline BertForSequenceClassification from WillHeld
+author: John Snow Labs
+name: bert_base_cased_mnli_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_mnli_pipeline` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_mnli_pipeline_en_5.5.1_3.0_1731309670318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_mnli_pipeline_en_5.5.1_3.0_1731309670318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_mnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_mnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_mnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/WillHeld/bert-base-cased-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_chinese_finetuned_ner_v1_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_chinese_finetuned_ner_v1_en.md
new file mode 100644
index 00000000000000..05b7da45abe151
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_chinese_finetuned_ner_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_ner_v1 BertForTokenClassification from leonadase
+author: John Snow Labs
+name: bert_base_chinese_finetuned_ner_v1
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_ner_v1` is a English model originally trained by leonadase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_v1_en_5.5.1_3.0_1731290477549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_v1_en_5.5.1_3.0_1731290477549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_ner_v1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/leonadase/bert-base-chinese-finetuned-ner-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_chinese_finetuned_ner_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_chinese_finetuned_ner_v1_pipeline_en.md
new file mode 100644
index 00000000000000..8049ea6a29d62a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_chinese_finetuned_ner_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_ner_v1_pipeline pipeline BertForTokenClassification from leonadase
+author: John Snow Labs
+name: bert_base_chinese_finetuned_ner_v1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_ner_v1_pipeline` is a English model originally trained by leonadase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_v1_pipeline_en_5.5.1_3.0_1731290498443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_v1_pipeline_en_5.5.1_3.0_1731290498443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_finetuned_ner_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_finetuned_ner_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_ner_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/leonadase/bert-base-chinese-finetuned-ner-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_spanish_wwm_cased_ehealth_kd_es.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_spanish_wwm_cased_ehealth_kd_es.md
new file mode 100644
index 00000000000000..63ce36af42d090
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_spanish_wwm_cased_ehealth_kd_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bert_base_spanish_wwm_cased_ehealth_kd BertForTokenClassification from IIC
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_ehealth_kd
+date: 2024-11-11
+tags: [es, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_wwm_cased_ehealth_kd` is a Castilian, Spanish model originally trained by IIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_ehealth_kd_es_5.5.1_3.0_1731290730612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_ehealth_kd_es_5.5.1_3.0_1731290730612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ai4privacy_english|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/xXiaobuding/bert-base-uncased_ai4privacy_en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_ai4privacy_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_ai4privacy_english_pipeline_en.md
new file mode 100644
index 00000000000000..3f1af225a7e1d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_ai4privacy_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_ai4privacy_english_pipeline pipeline BertForTokenClassification from xXiaobuding
+author: John Snow Labs
+name: bert_base_uncased_ai4privacy_english_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ai4privacy_english_pipeline` is a English model originally trained by xXiaobuding.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ai4privacy_english_pipeline_en_5.5.1_3.0_1731285310338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ai4privacy_english_pipeline_en_5.5.1_3.0_1731285310338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ai4privacy_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ai4privacy_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ai4privacy_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/xXiaobuding/bert-base-uncased_ai4privacy_en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_emotion_prikshit7766_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_emotion_prikshit7766_en.md
new file mode 100644
index 00000000000000..e53b97aac910c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_emotion_prikshit7766_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_prikshit7766 BertForSequenceClassification from Prikshit7766
+author: John Snow Labs
+name: bert_base_uncased_emotion_prikshit7766
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotion_prikshit7766` is a English model originally trained by Prikshit7766.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_prikshit7766_en_5.5.1_3.0_1731310162648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_prikshit7766_en_5.5.1_3.0_1731310162648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_emotion_prikshit7766|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Prikshit7766/bert-base-uncased-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_emotion_prikshit7766_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_emotion_prikshit7766_pipeline_en.md
new file mode 100644
index 00000000000000..4a154aae33762a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_emotion_prikshit7766_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_prikshit7766_pipeline pipeline BertForSequenceClassification from Prikshit7766
+author: John Snow Labs
+name: bert_base_uncased_emotion_prikshit7766_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotion_prikshit7766_pipeline` is a English model originally trained by Prikshit7766.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_prikshit7766_pipeline_en_5.5.1_3.0_1731310189528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_prikshit7766_pipeline_en_5.5.1_3.0_1731310189528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_emotion_prikshit7766_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_emotion_prikshit7766_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_emotion_prikshit7766_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Prikshit7766/bert-base-uncased-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_figurative_language_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_figurative_language_en.md
new file mode 100644
index 00000000000000..13849f955bb2ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_figurative_language_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_figurative_language BertForQuestionAnswering from DunnBC22
+author: John Snow Labs
+name: bert_base_uncased_figurative_language
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_figurative_language` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_figurative_language_en_5.5.1_3.0_1731308200930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_figurative_language_en_5.5.1_3.0_1731308200930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_figurative_language|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-uncased-Figurative_Language
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_figurative_language_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_figurative_language_pipeline_en.md
new file mode 100644
index 00000000000000..1776fc9fe52fe7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_figurative_language_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_figurative_language_pipeline pipeline BertForQuestionAnswering from DunnBC22
+author: John Snow Labs
+name: bert_base_uncased_figurative_language_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_figurative_language_pipeline` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_figurative_language_pipeline_en_5.5.1_3.0_1731308223519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_figurative_language_pipeline_en_5.5.1_3.0_1731308223519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_figurative_language_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_figurative_language_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_figurative_language_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-uncased-Figurative_Language
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_finetuned_triviaqa_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_finetuned_triviaqa_en.md
new file mode 100644
index 00000000000000..5d53f223d9f537
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_finetuned_triviaqa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_triviaqa BertForQuestionAnswering from mirbostani
+author: John Snow Labs
+name: bert_base_uncased_finetuned_triviaqa
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_triviaqa` is a English model originally trained by mirbostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_triviaqa_en_5.5.1_3.0_1731308084796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_triviaqa_en_5.5.1_3.0_1731308084796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_triviaqa|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/mirbostani/bert-base-uncased-finetuned-triviaqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_finetuned_triviaqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_finetuned_triviaqa_pipeline_en.md
new file mode 100644
index 00000000000000..df63c8a41e3860
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_finetuned_triviaqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_triviaqa_pipeline pipeline BertForQuestionAnswering from mirbostani
+author: John Snow Labs
+name: bert_base_uncased_finetuned_triviaqa_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_triviaqa_pipeline` is a English model originally trained by mirbostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_triviaqa_pipeline_en_5.5.1_3.0_1731308106385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_triviaqa_pipeline_en_5.5.1_3.0_1731308106385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_triviaqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_triviaqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_triviaqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/mirbostani/bert-base-uncased-finetuned-triviaqa
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_sba_clf_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_sba_clf_en.md
new file mode 100644
index 00000000000000..cb245e60cadf96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_sba_clf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_sba_clf BertForSequenceClassification from ahmedselhady
+author: John Snow Labs
+name: bert_base_uncased_sba_clf
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sba_clf` is a English model originally trained by ahmedselhady.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sba_clf_en_5.5.1_3.0_1731309789010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sba_clf_en_5.5.1_3.0_1731309789010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sba_clf|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ahmedselhady/bert-base-uncased-sba-clf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_sba_clf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_sba_clf_pipeline_en.md
new file mode 100644
index 00000000000000..6091255e81402f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_base_uncased_sba_clf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_sba_clf_pipeline pipeline BertForSequenceClassification from ahmedselhady
+author: John Snow Labs
+name: bert_base_uncased_sba_clf_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sba_clf_pipeline` is a English model originally trained by ahmedselhady.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sba_clf_pipeline_en_5.5.1_3.0_1731309811038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sba_clf_pipeline_en_5.5.1_3.0_1731309811038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_sba_clf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_sba_clf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sba_clf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ahmedselhady/bert-base-uncased-sba-clf
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_classifier_spanish_news_classification_headlines_es.md b/docs/_posts/ahmedlone127/2024-11-11-bert_classifier_spanish_news_classification_headlines_es.md
new file mode 100644
index 00000000000000..946e766f6b0406
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_classifier_spanish_news_classification_headlines_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bert_classifier_spanish_news_classification_headlines BertForSequenceClassification from M47Labs
+author: John Snow Labs
+name: bert_classifier_spanish_news_classification_headlines
+date: 2024-11-11
+tags: [es, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_spanish_news_classification_headlines` is a Castilian, Spanish model originally trained by M47Labs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_spanish_news_classification_headlines_es_5.5.1_3.0_1731309478600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_spanish_news_classification_headlines_es_5.5.1_3.0_1731309478600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_arcchialogy_ner_hp_tunned_hgf|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/nstrn-mo/bert-finetuned-arcchialogy-ner-hp-tunned-hgf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline_en.md
new file mode 100644
index 00000000000000..4cd4824a5257ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline pipeline BertForTokenClassification from nstrn-mo
+author: John Snow Labs
+name: bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline` is a English model originally trained by nstrn-mo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline_en_5.5.1_3.0_1731286113957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline_en_5.5.1_3.0_1731286113957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_arcchialogy_ner_hp_tunned_hgf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/nstrn-mo/bert-finetuned-arcchialogy-ner-hp-tunned-hgf
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner4_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner4_en.md
new file mode 100644
index 00000000000000..d489e3c0465fe7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner4 BertForTokenClassification from kabear
+author: John Snow Labs
+name: bert_finetuned_ner4
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner4` is a English model originally trained by kabear.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_en_5.5.1_3.0_1731290275551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_en_5.5.1_3.0_1731290275551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner4|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/kabear/bert-finetuned-ner4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner4_pipeline_en.md
new file mode 100644
index 00000000000000..354524cbb23379
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner4_pipeline pipeline BertForTokenClassification from kabear
+author: John Snow Labs
+name: bert_finetuned_ner4_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner4_pipeline` is a English model originally trained by kabear.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_pipeline_en_5.5.1_3.0_1731290296627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_pipeline_en_5.5.1_3.0_1731290296627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/kabear/bert-finetuned-ner4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_dylanalloy_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_dylanalloy_en.md
new file mode 100644
index 00000000000000..79a4b816f47bd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_dylanalloy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_dylanalloy BertForTokenClassification from dylanalloy
+author: John Snow Labs
+name: bert_finetuned_ner_dylanalloy
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_dylanalloy` is a English model originally trained by dylanalloy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dylanalloy_en_5.5.1_3.0_1731290622914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dylanalloy_en_5.5.1_3.0_1731290622914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_dylanalloy|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/dylanalloy/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_dylanalloy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_dylanalloy_pipeline_en.md
new file mode 100644
index 00000000000000..06d8a06ecb6c91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_dylanalloy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_dylanalloy_pipeline pipeline BertForTokenClassification from dylanalloy
+author: John Snow Labs
+name: bert_finetuned_ner_dylanalloy_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_dylanalloy_pipeline` is a English model originally trained by dylanalloy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dylanalloy_pipeline_en_5.5.1_3.0_1731290643740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dylanalloy_pipeline_en_5.5.1_3.0_1731290643740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_dylanalloy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_dylanalloy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_dylanalloy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/dylanalloy/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_joshuaaax_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_joshuaaax_en.md
new file mode 100644
index 00000000000000..25be0b2d8d6e46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_joshuaaax_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_joshuaaax BertForTokenClassification from JoshuaAAX
+author: John Snow Labs
+name: bert_finetuned_ner_joshuaaax
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_joshuaaax` is a English model originally trained by JoshuaAAX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joshuaaax_en_5.5.1_3.0_1731285567463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joshuaaax_en_5.5.1_3.0_1731285567463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_joshuaaax|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/JoshuaAAX/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_joshuaaax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_joshuaaax_pipeline_en.md
new file mode 100644
index 00000000000000..dfa2e34b5b0404
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_joshuaaax_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_joshuaaax_pipeline pipeline BertForTokenClassification from JoshuaAAX
+author: John Snow Labs
+name: bert_finetuned_ner_joshuaaax_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_joshuaaax_pipeline` is a English model originally trained by JoshuaAAX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joshuaaax_pipeline_en_5.5.1_3.0_1731285588723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joshuaaax_pipeline_en_5.5.1_3.0_1731285588723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_joshuaaax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_joshuaaax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_joshuaaax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/JoshuaAAX/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_nicodeb_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_nicodeb_en.md
new file mode 100644
index 00000000000000..d03ee6a386a16b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_nicodeb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_nicodeb BertForTokenClassification from nicodeb
+author: John Snow Labs
+name: bert_finetuned_ner_nicodeb
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_nicodeb` is a English model originally trained by nicodeb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_nicodeb_en_5.5.1_3.0_1731285509207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_nicodeb_en_5.5.1_3.0_1731285509207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_nicodeb|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/nicodeb/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_nicodeb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_nicodeb_pipeline_en.md
new file mode 100644
index 00000000000000..4a314a016fde66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_nicodeb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_nicodeb_pipeline pipeline BertForTokenClassification from nicodeb
+author: John Snow Labs
+name: bert_finetuned_ner_nicodeb_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_nicodeb_pipeline` is a English model originally trained by nicodeb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_nicodeb_pipeline_en_5.5.1_3.0_1731285532547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_nicodeb_pipeline_en_5.5.1_3.0_1731285532547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_nicodeb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_nicodeb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_nicodeb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/nicodeb/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_savoxism_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_savoxism_en.md
new file mode 100644
index 00000000000000..7fde38c647fb3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_savoxism_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_savoxism BertForTokenClassification from Savoxism
+author: John Snow Labs
+name: bert_finetuned_ner_savoxism
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_savoxism` is a English model originally trained by Savoxism.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_savoxism_en_5.5.1_3.0_1731285227266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_savoxism_en_5.5.1_3.0_1731285227266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_savoxism|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Savoxism/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_savoxism_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_savoxism_pipeline_en.md
new file mode 100644
index 00000000000000..f14162b22365e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_savoxism_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_savoxism_pipeline pipeline BertForTokenClassification from Savoxism
+author: John Snow Labs
+name: bert_finetuned_ner_savoxism_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_savoxism_pipeline` is a English model originally trained by Savoxism.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_savoxism_pipeline_en_5.5.1_3.0_1731285251578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_savoxism_pipeline_en_5.5.1_3.0_1731285251578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_savoxism_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_savoxism_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_savoxism_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Savoxism/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_tornqvistmax_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_tornqvistmax_en.md
new file mode 100644
index 00000000000000..9e8a3506c48127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_tornqvistmax_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_tornqvistmax BertForTokenClassification from tornqvistmax
+author: John Snow Labs
+name: bert_finetuned_ner_tornqvistmax
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_tornqvistmax` is a English model originally trained by tornqvistmax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tornqvistmax_en_5.5.1_3.0_1731290123499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tornqvistmax_en_5.5.1_3.0_1731290123499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_tornqvistmax|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/tornqvistmax/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_tornqvistmax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_tornqvistmax_pipeline_en.md
new file mode 100644
index 00000000000000..4ea57ab9740a0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_tornqvistmax_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_tornqvistmax_pipeline pipeline BertForTokenClassification from tornqvistmax
+author: John Snow Labs
+name: bert_finetuned_ner_tornqvistmax_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_tornqvistmax_pipeline` is a English model originally trained by tornqvistmax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tornqvistmax_pipeline_en_5.5.1_3.0_1731290144174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tornqvistmax_pipeline_en_5.5.1_3.0_1731290144174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_tornqvistmax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_tornqvistmax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_tornqvistmax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/tornqvistmax/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_viktoryes_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_viktoryes_en.md
new file mode 100644
index 00000000000000..76e27e111f99aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_viktoryes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_viktoryes BertForTokenClassification from viktoryes
+author: John Snow Labs
+name: bert_finetuned_ner_viktoryes
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_viktoryes` is a English model originally trained by viktoryes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_viktoryes_en_5.5.1_3.0_1731299620506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_viktoryes_en_5.5.1_3.0_1731299620506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_viktoryes|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/viktoryes/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_viktoryes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_viktoryes_pipeline_en.md
new file mode 100644
index 00000000000000..e0e37af8b14502
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_ner_viktoryes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_viktoryes_pipeline pipeline BertForTokenClassification from viktoryes
+author: John Snow Labs
+name: bert_finetuned_ner_viktoryes_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_viktoryes_pipeline` is a English model originally trained by viktoryes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_viktoryes_pipeline_en_5.5.1_3.0_1731299640955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_viktoryes_pipeline_en_5.5.1_3.0_1731299640955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_viktoryes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_viktoryes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_viktoryes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/viktoryes/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_semantic_augmentation_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_semantic_augmentation_ner_en.md
new file mode 100644
index 00000000000000..7577ae96ee1838
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_semantic_augmentation_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_semantic_augmentation_ner RoBertaForTokenClassification from lsoni
+author: John Snow Labs
+name: bert_finetuned_semantic_augmentation_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_semantic_augmentation_ner` is a English model originally trained by lsoni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semantic_augmentation_ner_en_5.5.1_3.0_1731314256488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semantic_augmentation_ner_en_5.5.1_3.0_1731314256488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_accelerate_3|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/camilag/bert-finetuned-squad-accelerate-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_accelerate_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_accelerate_3_pipeline_en.md
new file mode 100644
index 00000000000000..68c9155a6c626c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_accelerate_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_squad_accelerate_3_pipeline pipeline BertForQuestionAnswering from camilag
+author: John Snow Labs
+name: bert_finetuned_squad_accelerate_3_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_accelerate_3_pipeline` is a English model originally trained by camilag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_accelerate_3_pipeline_en_5.5.1_3.0_1731307835513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_accelerate_3_pipeline_en_5.5.1_3.0_1731307835513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_squad_accelerate_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_squad_accelerate_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_accelerate_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/camilag/bert-finetuned-squad-accelerate-3
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_dokyoungkim_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_dokyoungkim_en.md
new file mode 100644
index 00000000000000..d679abf825b127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_dokyoungkim_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_finetuned_squad_dokyoungkim BertForQuestionAnswering from dokyoungkim
+author: John Snow Labs
+name: bert_finetuned_squad_dokyoungkim
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_dokyoungkim` is a English model originally trained by dokyoungkim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_dokyoungkim_en_5.5.1_3.0_1731307566830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_dokyoungkim_en_5.5.1_3.0_1731307566830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_dokyoungkim|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/dokyoungkim/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_dokyoungkim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_dokyoungkim_pipeline_en.md
new file mode 100644
index 00000000000000..5b98fabd4bac67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_squad_dokyoungkim_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_squad_dokyoungkim_pipeline pipeline BertForQuestionAnswering from dokyoungkim
+author: John Snow Labs
+name: bert_finetuned_squad_dokyoungkim_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_dokyoungkim_pipeline` is a English model originally trained by dokyoungkim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_dokyoungkim_pipeline_en_5.5.1_3.0_1731307587294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_dokyoungkim_pipeline_en_5.5.1_3.0_1731307587294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_squad_dokyoungkim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_squad_dokyoungkim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_dokyoungkim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/dokyoungkim/bert-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_tmvar_corpus_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_tmvar_corpus_en.md
new file mode 100644
index 00000000000000..fcfce703b9dd61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_tmvar_corpus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_tmvar_corpus BertForTokenClassification from Salvatore
+author: John Snow Labs
+name: bert_finetuned_tmvar_corpus
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_tmvar_corpus` is a English model originally trained by Salvatore.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_tmvar_corpus_en_5.5.1_3.0_1731298905916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_tmvar_corpus_en_5.5.1_3.0_1731298905916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_tmvar_corpus|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|362.8 MB|
+
+## References
+
+https://huggingface.co/Salvatore/bert-finetuned-tmvar-corpus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_tmvar_corpus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_tmvar_corpus_pipeline_en.md
new file mode 100644
index 00000000000000..2fbce5d2dc7d67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_finetuned_tmvar_corpus_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_tmvar_corpus_pipeline pipeline BertForTokenClassification from Salvatore
+author: John Snow Labs
+name: bert_finetuned_tmvar_corpus_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_tmvar_corpus_pipeline` is a English model originally trained by Salvatore.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_tmvar_corpus_pipeline_en_5.5.1_3.0_1731298925116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_tmvar_corpus_pipeline_en_5.5.1_3.0_1731298925116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_tmvar_corpus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_tmvar_corpus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_tmvar_corpus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|362.9 MB|
+
+## References
+
+https://huggingface.co/Salvatore/bert-finetuned-tmvar-corpus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_large_finetuned_phishing_junginkim_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_large_finetuned_phishing_junginkim_en.md
new file mode 100644
index 00000000000000..6c840df7ee5583
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_large_finetuned_phishing_junginkim_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_finetuned_phishing_junginkim BertForSequenceClassification from Junginkim
+author: John Snow Labs
+name: bert_large_finetuned_phishing_junginkim
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_finetuned_phishing_junginkim` is a English model originally trained by Junginkim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_finetuned_phishing_junginkim_en_5.5.1_3.0_1731310431818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_finetuned_phishing_junginkim_en_5.5.1_3.0_1731310431818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_finetuned_phishing_junginkim|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Junginkim/bert-large-finetuned-phishing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_large_finetuned_phishing_junginkim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_large_finetuned_phishing_junginkim_pipeline_en.md
new file mode 100644
index 00000000000000..dbfb6eb102677c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_large_finetuned_phishing_junginkim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_finetuned_phishing_junginkim_pipeline pipeline BertForSequenceClassification from Junginkim
+author: John Snow Labs
+name: bert_large_finetuned_phishing_junginkim_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_finetuned_phishing_junginkim_pipeline` is a English model originally trained by Junginkim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_finetuned_phishing_junginkim_pipeline_en_5.5.1_3.0_1731310494277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_finetuned_phishing_junginkim_pipeline_en_5.5.1_3.0_1731310494277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_finetuned_phishing_junginkim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_finetuned_phishing_junginkim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_finetuned_phishing_junginkim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Junginkim/bert-large-finetuned-phishing
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_en.md
new file mode 100644
index 00000000000000..c50d06093bd5f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_large_uncased_whole_word_masking_finetuned_squad_dev_i BertForQuestionAnswering from mdzrg
+author: John Snow Labs
+name: bert_large_uncased_whole_word_masking_finetuned_squad_dev_i
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_whole_word_masking_finetuned_squad_dev_i` is a English model originally trained by mdzrg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_en_5.5.1_3.0_1731307616981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_en_5.5.1_3.0_1731307616981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_whole_word_masking_finetuned_squad_dev_i|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/mdzrg/bert-large-uncased-whole-word-masking-finetuned-squad-dev-I
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline_en.md
new file mode 100644
index 00000000000000..b1d311833b4854
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline pipeline BertForQuestionAnswering from mdzrg
+author: John Snow Labs
+name: bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline` is a English model originally trained by mdzrg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline_en_5.5.1_3.0_1731307680614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline_en_5.5.1_3.0_1731307680614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/mdzrg/bert-large-uncased-whole-word-masking-finetuned-squad-dev-I
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_model_news_aggregator_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_model_news_aggregator_en.md
new file mode 100644
index 00000000000000..1ed2337d2ed860
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_model_news_aggregator_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_model_news_aggregator BertForSequenceClassification from Subash2580
+author: John Snow Labs
+name: bert_model_news_aggregator
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_news_aggregator` is a English model originally trained by Subash2580.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_news_aggregator_en_5.5.1_3.0_1731309957668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_news_aggregator_en_5.5.1_3.0_1731309957668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_model_news_aggregator|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Subash2580/Bert_model_news_aggregator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_model_news_aggregator_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_model_news_aggregator_pipeline_en.md
new file mode 100644
index 00000000000000..3e701d5cd4a867
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_model_news_aggregator_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_model_news_aggregator_pipeline pipeline BertForSequenceClassification from Subash2580
+author: John Snow Labs
+name: bert_model_news_aggregator_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_news_aggregator_pipeline` is a English model originally trained by Subash2580.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_news_aggregator_pipeline_en_5.5.1_3.0_1731309980168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_news_aggregator_pipeline_en_5.5.1_3.0_1731309980168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_model_news_aggregator_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_model_news_aggregator_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_model_news_aggregator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Subash2580/Bert_model_news_aggregator
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_news_class_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_news_class_en.md
new file mode 100644
index 00000000000000..6cfc866d5d272d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_news_class_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_news_class BertForSequenceClassification from cssupport
+author: John Snow Labs
+name: bert_news_class
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_news_class` is a English model originally trained by cssupport.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_news_class_en_5.5.1_3.0_1731310012331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_news_class_en_5.5.1_3.0_1731310012331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_news_class|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/cssupport/bert-news-class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_news_class_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_news_class_pipeline_en.md
new file mode 100644
index 00000000000000..a5319d61f401dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_news_class_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_news_class_pipeline pipeline BertForSequenceClassification from cssupport
+author: John Snow Labs
+name: bert_news_class_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_news_class_pipeline` is a English model originally trained by cssupport.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_news_class_pipeline_en_5.5.1_3.0_1731310049127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_news_class_pipeline_en_5.5.1_3.0_1731310049127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_news_class_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_news_class_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_news_class_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/cssupport/bert-news-class
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_portuguese_squad2_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_portuguese_squad2_en.md
new file mode 100644
index 00000000000000..5792d6c2ed183a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_portuguese_squad2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_portuguese_squad2 BertForQuestionAnswering from lfcc
+author: John Snow Labs
+name: bert_portuguese_squad2
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_portuguese_squad2` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_squad2_en_5.5.1_3.0_1731289735794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_squad2_en_5.5.1_3.0_1731289735794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_portuguese_squad2|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/lfcc/bert-portuguese-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_portuguese_squad2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_portuguese_squad2_pipeline_en.md
new file mode 100644
index 00000000000000..626a4567ed3c3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_portuguese_squad2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_portuguese_squad2_pipeline pipeline BertForQuestionAnswering from lfcc
+author: John Snow Labs
+name: bert_portuguese_squad2_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_portuguese_squad2_pipeline` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_squad2_pipeline_en_5.5.1_3.0_1731289756826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_squad2_pipeline_en_5.5.1_3.0_1731289756826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_portuguese_squad2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_portuguese_squad2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_portuguese_squad2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/lfcc/bert-portuguese-squad2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_sliding_window_epoch_3_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_sliding_window_epoch_3_en.md
new file mode 100644
index 00000000000000..cc75237af2e796
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_sliding_window_epoch_3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_sliding_window_epoch_3 BertForQuestionAnswering from Whalejay
+author: John Snow Labs
+name: bert_sliding_window_epoch_3
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sliding_window_epoch_3` is a English model originally trained by Whalejay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sliding_window_epoch_3_en_5.5.1_3.0_1731307867943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sliding_window_epoch_3_en_5.5.1_3.0_1731307867943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sliding_window_epoch_3|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-sliding-window_epoch_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_sliding_window_epoch_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bert_sliding_window_epoch_3_pipeline_en.md
new file mode 100644
index 00000000000000..2edab514beaa3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_sliding_window_epoch_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_sliding_window_epoch_3_pipeline pipeline BertForQuestionAnswering from Whalejay
+author: John Snow Labs
+name: bert_sliding_window_epoch_3_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sliding_window_epoch_3_pipeline` is a English model originally trained by Whalejay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sliding_window_epoch_3_pipeline_en_5.5.1_3.0_1731307932813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sliding_window_epoch_3_pipeline_en_5.5.1_3.0_1731307932813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sliding_window_epoch_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sliding_window_epoch_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sliding_window_epoch_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Whalejay/bert-sliding-window_epoch_3
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_xomlac_ner_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-11-11-bert_xomlac_ner_pipeline_zh.md
new file mode 100644
index 00000000000000..2122b09d6699e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_xomlac_ner_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese bert_xomlac_ner_pipeline pipeline BertForTokenClassification from b3x0m
+author: John Snow Labs
+name: bert_xomlac_ner_pipeline
+date: 2024-11-11
+tags: [zh, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: zh
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_xomlac_ner_pipeline` is a Chinese model originally trained by b3x0m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_xomlac_ner_pipeline_zh_5.5.1_3.0_1731298814714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_xomlac_ner_pipeline_zh_5.5.1_3.0_1731298814714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_xomlac_ner_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_xomlac_ner_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_xomlac_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/b3x0m/bert-xomlac-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bert_xomlac_ner_zh.md b/docs/_posts/ahmedlone127/2024-11-11-bert_xomlac_ner_zh.md
new file mode 100644
index 00000000000000..8cfbfeb70a61e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bert_xomlac_ner_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese bert_xomlac_ner BertForTokenClassification from b3x0m
+author: John Snow Labs
+name: bert_xomlac_ner
+date: 2024-11-11
+tags: [zh, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: zh
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_xomlac_ner` is a Chinese model originally trained by b3x0m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_xomlac_ner_zh_5.5.1_3.0_1731298794255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_xomlac_ner_zh_5.5.1_3.0_1731298794255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_xomlac_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/b3x0m/bert-xomlac-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_13_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_13_en.md
new file mode 100644
index 00000000000000..9302d0b8eb13ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English beto_finetuned_ner_13 BertForTokenClassification from ifis
+author: John Snow Labs
+name: beto_finetuned_ner_13
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_finetuned_ner_13` is a English model originally trained by ifis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_13_en_5.5.1_3.0_1731291039879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_13_en_5.5.1_3.0_1731291039879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_finetuned_ner_13|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/ifis/BETO-finetuned-ner-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_13_pipeline_en.md
new file mode 100644
index 00000000000000..204268321dad36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English beto_finetuned_ner_13_pipeline pipeline BertForTokenClassification from ifis
+author: John Snow Labs
+name: beto_finetuned_ner_13_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_finetuned_ner_13_pipeline` is a English model originally trained by ifis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_13_pipeline_en_5.5.1_3.0_1731291060919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_13_pipeline_en_5.5.1_3.0_1731291060919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("beto_finetuned_ner_13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("beto_finetuned_ner_13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_finetuned_ner_13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/ifis/BETO-finetuned-ner-13
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_en.md
new file mode 100644
index 00000000000000..ac6e503632a509
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English beto_finetuned_ner BertForTokenClassification from JoshuaAAX
+author: John Snow Labs
+name: beto_finetuned_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_finetuned_ner` is a English model originally trained by JoshuaAAX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_en_5.5.1_3.0_1731291099811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_en_5.5.1_3.0_1731291099811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/JoshuaAAX/beto-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..0f310238b10ee7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English beto_finetuned_ner_pipeline pipeline BertForTokenClassification from JoshuaAAX
+author: John Snow Labs
+name: beto_finetuned_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_finetuned_ner_pipeline` is a English model originally trained by JoshuaAAX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_pipeline_en_5.5.1_3.0_1731291120382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_finetuned_ner_pipeline_en_5.5.1_3.0_1731291120382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("beto_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("beto_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/JoshuaAAX/beto-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_sayula_popoluca_en.md
new file mode 100644
index 00000000000000..5779fb8f6fdf0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_sayula_popoluca_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English beto_sayula_popoluca BertForTokenClassification from hugo-albert
+author: John Snow Labs
+name: beto_sayula_popoluca
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_sayula_popoluca` is a English model originally trained by hugo-albert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sayula_popoluca_en_5.5.1_3.0_1731290885885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sayula_popoluca_en_5.5.1_3.0_1731290885885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sayula_popoluca|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/hugo-albert/beto-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..41a5e1a08577a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English beto_sayula_popoluca_pipeline pipeline BertForTokenClassification from hugo-albert
+author: John Snow Labs
+name: beto_sayula_popoluca_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_sayula_popoluca_pipeline` is a English model originally trained by hugo-albert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sayula_popoluca_pipeline_en_5.5.1_3.0_1731290909568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sayula_popoluca_pipeline_en_5.5.1_3.0_1731290909568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("beto_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("beto_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/hugo-albert/beto-pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_sentiment_analysis_finetuned_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_sentiment_analysis_finetuned_en.md
new file mode 100644
index 00000000000000..4272f17101d73e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_sentiment_analysis_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English beto_sentiment_analysis_finetuned BertForSequenceClassification from stinoco
+author: John Snow Labs
+name: beto_sentiment_analysis_finetuned
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_sentiment_analysis_finetuned` is a English model originally trained by stinoco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_en_5.5.1_3.0_1731309155278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_en_5.5.1_3.0_1731309155278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sentiment_analysis_finetuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.3 MB|
+
+## References
+
+https://huggingface.co/stinoco/beto-sentiment-analysis-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-beto_sentiment_analysis_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-beto_sentiment_analysis_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..b4e527ace7b1f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-beto_sentiment_analysis_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English beto_sentiment_analysis_finetuned_pipeline pipeline BertForSequenceClassification from stinoco
+author: John Snow Labs
+name: beto_sentiment_analysis_finetuned_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_sentiment_analysis_finetuned_pipeline` is a English model originally trained by stinoco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_pipeline_en_5.5.1_3.0_1731309178136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_pipeline_en_5.5.1_3.0_1731309178136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("beto_sentiment_analysis_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("beto_sentiment_analysis_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sentiment_analysis_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.4 MB|
+
+## References
+
+https://huggingface.co/stinoco/beto-sentiment-analysis-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_99gpt_v1_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_99gpt_v1_en.md
new file mode 100644
index 00000000000000..6fe0fe3ea4658e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_99gpt_v1_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_99gpt_v1 BGEEmbeddings from marroyo777
+author: John Snow Labs
+name: bge_99gpt_v1
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_99gpt_v1` is a English model originally trained by marroyo777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_99gpt_v1_en_5.5.1_3.0_1731313056005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_99gpt_v1_en_5.5.1_3.0_1731313056005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_99gpt_v1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|116.0 MB|
+
+## References
+
+https://huggingface.co/marroyo777/bge-99GPT-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_99gpt_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_99gpt_v1_pipeline_en.md
new file mode 100644
index 00000000000000..1acf893dba9fe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_99gpt_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_99gpt_v1_pipeline pipeline BGEEmbeddings from marroyo777
+author: John Snow Labs
+name: bge_99gpt_v1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_99gpt_v1_pipeline` is a English model originally trained by marroyo777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_99gpt_v1_pipeline_en_5.5.1_3.0_1731313065265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_99gpt_v1_pipeline_en_5.5.1_3.0_1731313065265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_99gpt_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_99gpt_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_99gpt_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|116.0 MB|
+
+## References
+
+https://huggingface.co/marroyo777/bge-99GPT-v1
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_course_recommender_v2_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_course_recommender_v2_en.md
new file mode 100644
index 00000000000000..af03cfe01992b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_course_recommender_v2_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_base_english_v1_5_course_recommender_v2 BGEEmbeddings from datasocietyco
+author: John Snow Labs
+name: bge_base_english_v1_5_course_recommender_v2
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_v1_5_course_recommender_v2` is a English model originally trained by datasocietyco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v2_en_5.5.1_3.0_1731313437646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v2_en_5.5.1_3.0_1731313437646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_v1_5_course_recommender_v2|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|375.2 MB|
+
+## References
+
+https://huggingface.co/datasocietyco/bge-base-en-v1.5-course-recommender-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_course_recommender_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_course_recommender_v2_pipeline_en.md
new file mode 100644
index 00000000000000..512787f72c67f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_course_recommender_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_english_v1_5_course_recommender_v2_pipeline pipeline BGEEmbeddings from datasocietyco
+author: John Snow Labs
+name: bge_base_english_v1_5_course_recommender_v2_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_v1_5_course_recommender_v2_pipeline` is a English model originally trained by datasocietyco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v2_pipeline_en_5.5.1_3.0_1731313469876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v2_pipeline_en_5.5.1_3.0_1731313469876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_english_v1_5_course_recommender_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_english_v1_5_course_recommender_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_v1_5_course_recommender_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|375.2 MB|
+
+## References
+
+https://huggingface.co/datasocietyco/bge-base-en-v1.5-course-recommender-v2
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_finetuned_osllmai_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_finetuned_osllmai_v1_pipeline_en.md
new file mode 100644
index 00000000000000..c18f2e8cbf2336
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_base_english_v1_5_finetuned_osllmai_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_english_v1_5_finetuned_osllmai_v1_pipeline pipeline BGEEmbeddings from osllmai
+author: John Snow Labs
+name: bge_base_english_v1_5_finetuned_osllmai_v1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_v1_5_finetuned_osllmai_v1_pipeline` is a English model originally trained by osllmai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_finetuned_osllmai_v1_pipeline_en_5.5.1_3.0_1731313060461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_finetuned_osllmai_v1_pipeline_en_5.5.1_3.0_1731313060461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_english_v1_5_finetuned_osllmai_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_english_v1_5_finetuned_osllmai_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_v1_5_finetuned_osllmai_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.3 MB|
+
+## References
+
+https://huggingface.co/osllmai/bge-base-en-v1.5-finetuned_osllmai_v1
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_base_legal_matryoshka_v1_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_base_legal_matryoshka_v1_en.md
new file mode 100644
index 00000000000000..9647d613397e49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_base_legal_matryoshka_v1_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_base_legal_matryoshka_v1 BGEEmbeddings from Tejasw1
+author: John Snow Labs
+name: bge_base_legal_matryoshka_v1
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_legal_matryoshka_v1` is a English model originally trained by Tejasw1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_legal_matryoshka_v1_en_5.5.1_3.0_1731312723474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_legal_matryoshka_v1_en_5.5.1_3.0_1731312723474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_legal_matryoshka_v1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|383.6 MB|
+
+## References
+
+https://huggingface.co/Tejasw1/bge-base-legal-matryoshka-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_base_legal_matryoshka_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_base_legal_matryoshka_v1_pipeline_en.md
new file mode 100644
index 00000000000000..c30db01371301c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_base_legal_matryoshka_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_legal_matryoshka_v1_pipeline pipeline BGEEmbeddings from Tejasw1
+author: John Snow Labs
+name: bge_base_legal_matryoshka_v1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_legal_matryoshka_v1_pipeline` is a English model originally trained by Tejasw1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_legal_matryoshka_v1_pipeline_en_5.5.1_3.0_1731312753524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_legal_matryoshka_v1_pipeline_en_5.5.1_3.0_1731312753524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_legal_matryoshka_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_legal_matryoshka_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_legal_matryoshka_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.6 MB|
+
+## References
+
+https://huggingface.co/Tejasw1/bge-base-legal-matryoshka-v1
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_large_zhtw_v1_5_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_large_zhtw_v1_5_en.md
new file mode 100644
index 00000000000000..cd14d7182a0705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_large_zhtw_v1_5_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_large_zhtw_v1_5 BGEEmbeddings from cfchu
+author: John Snow Labs
+name: bge_large_zhtw_v1_5
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_large_zhtw_v1_5` is a English model originally trained by cfchu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_large_zhtw_v1_5_en_5.5.1_3.0_1731312857829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_large_zhtw_v1_5_en_5.5.1_3.0_1731312857829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_large_zhtw_v1_5|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/cfchu/bge-large-zhtw-v1.5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_large_zhtw_v1_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_large_zhtw_v1_5_pipeline_en.md
new file mode 100644
index 00000000000000..7f7668a4d0feac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_large_zhtw_v1_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_large_zhtw_v1_5_pipeline pipeline BGEEmbeddings from cfchu
+author: John Snow Labs
+name: bge_large_zhtw_v1_5_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_large_zhtw_v1_5_pipeline` is a English model originally trained by cfchu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_large_zhtw_v1_5_pipeline_en_5.5.1_3.0_1731312930680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_large_zhtw_v1_5_pipeline_en_5.5.1_3.0_1731312930680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_large_zhtw_v1_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_large_zhtw_v1_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_large_zhtw_v1_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/cfchu/bge-large-zhtw-v1.5
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_micro_smiles_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_micro_smiles_en.md
new file mode 100644
index 00000000000000..7ab539b2d3c30c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_micro_smiles_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_micro_smiles BGEEmbeddings from fpc
+author: John Snow Labs
+name: bge_micro_smiles
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_micro_smiles` is a English model originally trained by fpc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_micro_smiles_en_5.5.1_3.0_1731313171405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_micro_smiles_en_5.5.1_3.0_1731313171405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_micro_smiles|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|52.2 MB|
+
+## References
+
+https://huggingface.co/fpc/bge-micro-smiles
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_micro_smiles_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_micro_smiles_pipeline_en.md
new file mode 100644
index 00000000000000..756aa54cbd12b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_micro_smiles_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_micro_smiles_pipeline pipeline BGEEmbeddings from fpc
+author: John Snow Labs
+name: bge_micro_smiles_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_micro_smiles_pipeline` is a English model originally trained by fpc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_micro_smiles_pipeline_en_5.5.1_3.0_1731313179313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_micro_smiles_pipeline_en_5.5.1_3.0_1731313179313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_micro_smiles_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_micro_smiles_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_micro_smiles_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|52.2 MB|
+
+## References
+
+https://huggingface.co/fpc/bge-micro-smiles
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_ft_orc_0930_dates_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_ft_orc_0930_dates_en.md
new file mode 100644
index 00000000000000..3d06606c8eb28e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_ft_orc_0930_dates_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_small_english_v1_5_ft_orc_0930_dates BGEEmbeddings from magnifi
+author: John Snow Labs
+name: bge_small_english_v1_5_ft_orc_0930_dates
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_small_english_v1_5_ft_orc_0930_dates` is a English model originally trained by magnifi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_small_english_v1_5_ft_orc_0930_dates_en_5.5.1_3.0_1731312897567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_small_english_v1_5_ft_orc_0930_dates_en_5.5.1_3.0_1731312897567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_small_english_v1_5_ft_orc_0930_dates|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|110.3 MB|
+
+## References
+
+https://huggingface.co/magnifi/bge-small-en-v1.5-ft-orc-0930-dates
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_ft_orc_0930_dates_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_ft_orc_0930_dates_pipeline_en.md
new file mode 100644
index 00000000000000..3000196ba709a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_ft_orc_0930_dates_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_small_english_v1_5_ft_orc_0930_dates_pipeline pipeline BGEEmbeddings from magnifi
+author: John Snow Labs
+name: bge_small_english_v1_5_ft_orc_0930_dates_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_small_english_v1_5_ft_orc_0930_dates_pipeline` is a English model originally trained by magnifi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_small_english_v1_5_ft_orc_0930_dates_pipeline_en_5.5.1_3.0_1731312908553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_small_english_v1_5_ft_orc_0930_dates_pipeline_en_5.5.1_3.0_1731312908553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_small_english_v1_5_ft_orc_0930_dates_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_small_english_v1_5_ft_orc_0930_dates_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_small_english_v1_5_ft_orc_0930_dates_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|110.3 MB|
+
+## References
+
+https://huggingface.co/magnifi/bge-small-en-v1.5-ft-orc-0930-dates
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_rirag_obliqa_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_rirag_obliqa_en.md
new file mode 100644
index 00000000000000..5ab25ba41147f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_small_english_v1_5_rirag_obliqa_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_small_english_v1_5_rirag_obliqa BGEEmbeddings from raul-delarosa99
+author: John Snow Labs
+name: bge_small_english_v1_5_rirag_obliqa
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_small_english_v1_5_rirag_obliqa` is a English model originally trained by raul-delarosa99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_small_english_v1_5_rirag_obliqa_en_5.5.1_3.0_1731313044537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_small_english_v1_5_rirag_obliqa_en_5.5.1_3.0_1731313044537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_small_english_v1_5_rirag_obliqa|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|79.7 MB|
+
+## References
+
+https://huggingface.co/raul-delarosa99/bge-small-en-v1.5-RIRAG_ObliQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_tuned_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_tuned_en.md
new file mode 100644
index 00000000000000..555047dcb4072e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_tuned_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_tuned BGEEmbeddings from minh132
+author: John Snow Labs
+name: bge_tuned
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_tuned` is a English model originally trained by minh132.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_tuned_en_5.5.1_3.0_1731313341106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_tuned_en_5.5.1_3.0_1731313341106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_tuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/minh132/bge-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bge_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bge_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..6c8b87738cf009
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bge_tuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_tuned_pipeline pipeline BGEEmbeddings from minh132
+author: John Snow Labs
+name: bge_tuned_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_tuned_pipeline` is a English model originally trained by minh132.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_tuned_pipeline_en_5.5.1_3.0_1731313405235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_tuned_pipeline_en_5.5.1_3.0_1731313405235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/minh132/bge-tuned
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bio_clinicalbert_medical_en.md b/docs/_posts/ahmedlone127/2024-11-11-bio_clinicalbert_medical_en.md
new file mode 100644
index 00000000000000..58fbf151de55d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bio_clinicalbert_medical_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bio_clinicalbert_medical BertForSequenceClassification from tarasophia
+author: John Snow Labs
+name: bio_clinicalbert_medical
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bio_clinicalbert_medical` is a English model originally trained by tarasophia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_medical_en_5.5.1_3.0_1731310240544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_medical_en_5.5.1_3.0_1731310240544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_clinicalbert_medical|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.6 MB|
+
+## References
+
+https://huggingface.co/tarasophia/Bio_ClinicalBERT_medical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bio_clinicalbert_medical_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-bio_clinicalbert_medical_pipeline_en.md
new file mode 100644
index 00000000000000..3867571123e64b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bio_clinicalbert_medical_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bio_clinicalbert_medical_pipeline pipeline BertForSequenceClassification from tarasophia
+author: John Snow Labs
+name: bio_clinicalbert_medical_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bio_clinicalbert_medical_pipeline` is a English model originally trained by tarasophia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_medical_pipeline_en_5.5.1_3.0_1731310261467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_medical_pipeline_en_5.5.1_3.0_1731310261467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bio_clinicalbert_medical_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bio_clinicalbert_medical_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_clinicalbert_medical_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.6 MB|
+
+## References
+
+https://huggingface.co/tarasophia/Bio_ClinicalBERT_medical
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biobert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-biobert_finetuned_ner_en.md
new file mode 100644
index 00000000000000..62bbed3770bcf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biobert_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biobert_finetuned_ner BertForTokenClassification from jialinselenasong
+author: John Snow Labs
+name: biobert_finetuned_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_finetuned_ner` is a English model originally trained by jialinselenasong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_finetuned_ner_en_5.5.1_3.0_1731285895856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_finetuned_ner_en_5.5.1_3.0_1731285895856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/jialinselenasong/biobert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biobert_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-biobert_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..ee71f638d2a722
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biobert_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biobert_finetuned_ner_pipeline pipeline BertForTokenClassification from jialinselenasong
+author: John Snow Labs
+name: biobert_finetuned_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_finetuned_ner_pipeline` is a English model originally trained by jialinselenasong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_finetuned_ner_pipeline_en_5.5.1_3.0_1731285921161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_finetuned_ner_pipeline_en_5.5.1_3.0_1731285921161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biobert_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biobert_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/jialinselenasong/biobert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biolinkbert_outcomes_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-biolinkbert_outcomes_ner_en.md
new file mode 100644
index 00000000000000..f69fec86f90ffc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biolinkbert_outcomes_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biolinkbert_outcomes_ner BertForTokenClassification from laiking
+author: John Snow Labs
+name: biolinkbert_outcomes_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biolinkbert_outcomes_ner` is a English model originally trained by laiking.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_outcomes_ner_en_5.5.1_3.0_1731290874920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_outcomes_ner_en_5.5.1_3.0_1731290874920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_outcomes_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/laiking/biolinkbert-outcomes-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biolinkbert_outcomes_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-biolinkbert_outcomes_ner_pipeline_en.md
new file mode 100644
index 00000000000000..017d8a8209a313
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biolinkbert_outcomes_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biolinkbert_outcomes_ner_pipeline pipeline BertForTokenClassification from laiking
+author: John Snow Labs
+name: biolinkbert_outcomes_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biolinkbert_outcomes_ner_pipeline` is a English model originally trained by laiking.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_outcomes_ner_pipeline_en_5.5.1_3.0_1731290896292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_outcomes_ner_pipeline_en_5.5.1_3.0_1731290896292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biolinkbert_outcomes_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biolinkbert_outcomes_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_outcomes_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/laiking/biolinkbert-outcomes-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biomed_roberta_all_deep_en.md b/docs/_posts/ahmedlone127/2024-11-11-biomed_roberta_all_deep_en.md
new file mode 100644
index 00000000000000..b8ba4c2a86dc3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biomed_roberta_all_deep_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomed_roberta_all_deep RoBertaForTokenClassification from jialinselenasong
+author: John Snow Labs
+name: biomed_roberta_all_deep
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomed_roberta_all_deep` is a English model originally trained by jialinselenasong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomed_roberta_all_deep_en_5.5.1_3.0_1731311373367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomed_roberta_all_deep_en_5.5.1_3.0_1731311373367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomed_roberta_all_deep|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/jialinselenasong/biomed_roberta_all_deep
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_en.md b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_en.md
new file mode 100644
index 00000000000000..80c4b0e0579710
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa BertForSequenceClassification from blizrys
+author: John Snow Labs
+name: biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa` is a English model originally trained by blizrys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_en_5.5.1_3.0_1731310162199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_en_5.5.1_3.0_1731310162199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/blizrys/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline_en.md
new file mode 100644
index 00000000000000..be9d4f6ad69b31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline_en.md
@@ -0,0 +1,72 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline pipeline BertForSequenceClassification from blizrys
+author: John Snow Labs
+name: biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline` is a English model originally trained by blizrys.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline_en_5.5.1_3.0_1731310188434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline_en_5.5.1_3.0_1731310188434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+pipeline = PretrainedPipeline("biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+```
+```scala
+val pipeline = new PretrainedPipeline("biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+References
+
+https://huggingface.co/blizrys/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_proteinstructure_ner_v2_1_en.md b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_proteinstructure_ner_v2_1_en.md
new file mode 100644
index 00000000000000..c1f7c3868cebd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_proteinstructure_ner_v2_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_proteinstructure_ner_v2_1 BertForTokenClassification from PDBEurope
+author: John Snow Labs
+name: biomednlp_pubmedbert_proteinstructure_ner_v2_1
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_proteinstructure_ner_v2_1` is a English model originally trained by PDBEurope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v2_1_en_5.5.1_3.0_1731285743740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v2_1_en_5.5.1_3.0_1731285743740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_proteinstructure_ner_v2_1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v2.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline_en.md
new file mode 100644
index 00000000000000..f520348db9181e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline pipeline BertForTokenClassification from PDBEurope
+author: John Snow Labs
+name: biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline` is a English model originally trained by PDBEurope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline_en_5.5.1_3.0_1731285765036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline_en_5.5.1_3.0_1731285765036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_proteinstructure_ner_v2_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v2.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-bsc_bio_ehr_spanish_distemist_es.md b/docs/_posts/ahmedlone127/2024-11-11-bsc_bio_ehr_spanish_distemist_es.md
new file mode 100644
index 00000000000000..804ae6163d7309
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-bsc_bio_ehr_spanish_distemist_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_distemist RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_distemist
+date: 2024-11-11
+tags: [es, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_distemist` is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_distemist_es_5.5.1_3.0_1731311054905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_distemist_es_5.5.1_3.0_1731311054905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_nepal_bhasa_version_5_0|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ashkh0099/my-bert-new-version-5.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-burmese_bert_nepal_bhasa_version_5_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-burmese_bert_nepal_bhasa_version_5_0_pipeline_en.md
new file mode 100644
index 00000000000000..210acef151dd59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-burmese_bert_nepal_bhasa_version_5_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_bert_nepal_bhasa_version_5_0_pipeline pipeline BertForQuestionAnswering from Ashkh0099
+author: John Snow Labs
+name: burmese_bert_nepal_bhasa_version_5_0_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_bert_nepal_bhasa_version_5_0_pipeline` is a English model originally trained by Ashkh0099.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_bert_nepal_bhasa_version_5_0_pipeline_en_5.5.1_3.0_1731289246571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_bert_nepal_bhasa_version_5_0_pipeline_en_5.5.1_3.0_1731289246571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_bert_nepal_bhasa_version_5_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_bert_nepal_bhasa_version_5_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_nepal_bhasa_version_5_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ashkh0099/my-bert-new-version-5.0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-cc_uffs_ppc_ft_test_multiqa_en.md b/docs/_posts/ahmedlone127/2024-11-11-cc_uffs_ppc_ft_test_multiqa_en.md
new file mode 100644
index 00000000000000..d2c15b2c8f3562
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-cc_uffs_ppc_ft_test_multiqa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cc_uffs_ppc_ft_test_multiqa MPNetEmbeddings from winderfeld
+author: John Snow Labs
+name: cc_uffs_ppc_ft_test_multiqa
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cc_uffs_ppc_ft_test_multiqa` is a English model originally trained by winderfeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cc_uffs_ppc_ft_test_multiqa_en_5.5.1_3.0_1731294914275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cc_uffs_ppc_ft_test_multiqa_en_5.5.1_3.0_1731294914275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cc_uffs_ppc_ft_test_multiqa|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/winderfeld/cc-uffs-ppc-ft-test-multiqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-cc_uffs_ppc_ft_test_multiqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-cc_uffs_ppc_ft_test_multiqa_pipeline_en.md
new file mode 100644
index 00000000000000..20f7fe6e43321e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-cc_uffs_ppc_ft_test_multiqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cc_uffs_ppc_ft_test_multiqa_pipeline pipeline MPNetEmbeddings from winderfeld
+author: John Snow Labs
+name: cc_uffs_ppc_ft_test_multiqa_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cc_uffs_ppc_ft_test_multiqa_pipeline` is a English model originally trained by winderfeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cc_uffs_ppc_ft_test_multiqa_pipeline_en_5.5.1_3.0_1731294936076.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cc_uffs_ppc_ft_test_multiqa_pipeline_en_5.5.1_3.0_1731294936076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cc_uffs_ppc_ft_test_multiqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cc_uffs_ppc_ft_test_multiqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cc_uffs_ppc_ft_test_multiqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/winderfeld/cc-uffs-ppc-ft-test-multiqa
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-celloscope_28000_ner_banglabert_finetuned_en.md b/docs/_posts/ahmedlone127/2024-11-11-celloscope_28000_ner_banglabert_finetuned_en.md
new file mode 100644
index 00000000000000..51842560888783
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-celloscope_28000_ner_banglabert_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English celloscope_28000_ner_banglabert_finetuned BertForTokenClassification from celloscopeai
+author: John Snow Labs
+name: celloscope_28000_ner_banglabert_finetuned
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`celloscope_28000_ner_banglabert_finetuned` is a English model originally trained by celloscopeai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/celloscope_28000_ner_banglabert_finetuned_en_5.5.1_3.0_1731285437232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/celloscope_28000_ner_banglabert_finetuned_en_5.5.1_3.0_1731285437232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|celloscope_28000_ner_banglabert_finetuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/celloscopeai/celloscope-28000-ner-banglabert-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-celloscope_28000_ner_banglabert_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-celloscope_28000_ner_banglabert_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..7e1a76e90d7d71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-celloscope_28000_ner_banglabert_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English celloscope_28000_ner_banglabert_finetuned_pipeline pipeline BertForTokenClassification from celloscopeai
+author: John Snow Labs
+name: celloscope_28000_ner_banglabert_finetuned_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`celloscope_28000_ner_banglabert_finetuned_pipeline` is a English model originally trained by celloscopeai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/celloscope_28000_ner_banglabert_finetuned_pipeline_en_5.5.1_3.0_1731285459344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/celloscope_28000_ner_banglabert_finetuned_pipeline_en_5.5.1_3.0_1731285459344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("celloscope_28000_ner_banglabert_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("celloscope_28000_ner_banglabert_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|celloscope_28000_ner_banglabert_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/celloscopeai/celloscope-28000-ner-banglabert-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-checkpoints_almino_en.md b/docs/_posts/ahmedlone127/2024-11-11-checkpoints_almino_en.md
new file mode 100644
index 00000000000000..f8b1fef9dc977f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-checkpoints_almino_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English checkpoints_almino WhisperForCTC from almino
+author: John Snow Labs
+name: checkpoints_almino
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`checkpoints_almino` is a English model originally trained by almino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/checkpoints_almino_en_5.5.1_3.0_1731302964849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/checkpoints_almino_en_5.5.1_3.0_1731302964849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|checkpoints_almino|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/almino/checkpoints
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-checkpoints_almino_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-checkpoints_almino_pipeline_en.md
new file mode 100644
index 00000000000000..1c0cbd4df4cfab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-checkpoints_almino_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English checkpoints_almino_pipeline pipeline WhisperForCTC from almino
+author: John Snow Labs
+name: checkpoints_almino_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`checkpoints_almino_pipeline` is a English model originally trained by almino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/checkpoints_almino_pipeline_en_5.5.1_3.0_1731303059185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/checkpoints_almino_pipeline_en_5.5.1_3.0_1731303059185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("checkpoints_almino_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("checkpoints_almino_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|checkpoints_almino_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/almino/checkpoints
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-chinese_roberta_wwm_ext_large_en.md b/docs/_posts/ahmedlone127/2024-11-11-chinese_roberta_wwm_ext_large_en.md
new file mode 100644
index 00000000000000..272cf1815a1730
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-chinese_roberta_wwm_ext_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_large BertForTokenClassification from agdsga
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_large
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_large` is a English model originally trained by agdsga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_large_en_5.5.1_3.0_1731291105667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_large_en_5.5.1_3.0_1731291105667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_large|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/agdsga/chinese-roberta-wwm-ext-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-chinese_roberta_wwm_ext_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-chinese_roberta_wwm_ext_large_pipeline_en.md
new file mode 100644
index 00000000000000..e49d1eba0e6fd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-chinese_roberta_wwm_ext_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_large_pipeline pipeline BertForTokenClassification from agdsga
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_large_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_large_pipeline` is a English model originally trained by agdsga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_large_pipeline_en_5.5.1_3.0_1731291172017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_large_pipeline_en_5.5.1_3.0_1731291172017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chinese_roberta_wwm_ext_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chinese_roberta_wwm_ext_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/agdsga/chinese-roberta-wwm-ext-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-classify_bluesky_1000_v2_en.md b/docs/_posts/ahmedlone127/2024-11-11-classify_bluesky_1000_v2_en.md
new file mode 100644
index 00000000000000..52d890d42c048a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-classify_bluesky_1000_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classify_bluesky_1000_v2 AlbertForSequenceClassification from Himanshu99001
+author: John Snow Labs
+name: classify_bluesky_1000_v2
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classify_bluesky_1000_v2` is a English model originally trained by Himanshu99001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classify_bluesky_1000_v2_en_5.5.1_3.0_1731296867467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classify_bluesky_1000_v2_en_5.5.1_3.0_1731296867467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classify_bluesky_1000_v2|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/Himanshu99001/classify-bluesky-1000-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-classify_bluesky_1000_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-classify_bluesky_1000_v2_pipeline_en.md
new file mode 100644
index 00000000000000..fcfea659489bba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-classify_bluesky_1000_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classify_bluesky_1000_v2_pipeline pipeline AlbertForSequenceClassification from Himanshu99001
+author: John Snow Labs
+name: classify_bluesky_1000_v2_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classify_bluesky_1000_v2_pipeline` is a English model originally trained by Himanshu99001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classify_bluesky_1000_v2_pipeline_en_5.5.1_3.0_1731296869891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classify_bluesky_1000_v2_pipeline_en_5.5.1_3.0_1731296869891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classify_bluesky_1000_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classify_bluesky_1000_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classify_bluesky_1000_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/Himanshu99001/classify-bluesky-1000-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_base_unsupervised_en.md b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_base_unsupervised_en.md
new file mode 100644
index 00000000000000..44f53fb5b1fd00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_base_unsupervised_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cleaned_e5_base_unsupervised E5Embeddings from rithwik-db
+author: John Snow Labs
+name: cleaned_e5_base_unsupervised
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, e5]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: E5Embeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cleaned_e5_base_unsupervised` is a English model originally trained by rithwik-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cleaned_e5_base_unsupervised_en_5.5.1_3.0_1731300058597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cleaned_e5_base_unsupervised_en_5.5.1_3.0_1731300058597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cleaned_e5_base_unsupervised|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[E5]|
+|Language:|en|
+|Size:|386.2 MB|
+
+## References
+
+https://huggingface.co/rithwik-db/cleaned-e5-base-unsupervised
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_base_unsupervised_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_base_unsupervised_pipeline_en.md
new file mode 100644
index 00000000000000..5f3facfd1ca268
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_base_unsupervised_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cleaned_e5_base_unsupervised_pipeline pipeline E5Embeddings from rithwik-db
+author: John Snow Labs
+name: cleaned_e5_base_unsupervised_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cleaned_e5_base_unsupervised_pipeline` is a English model originally trained by rithwik-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cleaned_e5_base_unsupervised_pipeline_en_5.5.1_3.0_1731300087523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cleaned_e5_base_unsupervised_pipeline_en_5.5.1_3.0_1731300087523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cleaned_e5_base_unsupervised_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cleaned_e5_base_unsupervised_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cleaned_e5_base_unsupervised_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|386.2 MB|
+
+## References
+
+https://huggingface.co/rithwik-db/cleaned-e5-base-unsupervised
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_large_unsupervised_en.md b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_large_unsupervised_en.md
new file mode 100644
index 00000000000000..6901e54313ff7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_large_unsupervised_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cleaned_e5_large_unsupervised E5Embeddings from rithwik-db
+author: John Snow Labs
+name: cleaned_e5_large_unsupervised
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, e5]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: E5Embeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cleaned_e5_large_unsupervised` is a English model originally trained by rithwik-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cleaned_e5_large_unsupervised_en_5.5.1_3.0_1731300839857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cleaned_e5_large_unsupervised_en_5.5.1_3.0_1731300839857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cleaned_e5_large_unsupervised|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[E5]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rithwik-db/cleaned-e5-large-unsupervised
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_large_unsupervised_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_large_unsupervised_pipeline_en.md
new file mode 100644
index 00000000000000..3e2cad6a59a779
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-cleaned_e5_large_unsupervised_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cleaned_e5_large_unsupervised_pipeline pipeline E5Embeddings from rithwik-db
+author: John Snow Labs
+name: cleaned_e5_large_unsupervised_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cleaned_e5_large_unsupervised_pipeline` is a English model originally trained by rithwik-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cleaned_e5_large_unsupervised_pipeline_en_5.5.1_3.0_1731300911401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cleaned_e5_large_unsupervised_pipeline_en_5.5.1_3.0_1731300911401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cleaned_e5_large_unsupervised_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cleaned_e5_large_unsupervised_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cleaned_e5_large_unsupervised_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rithwik-db/cleaned-e5-large-unsupervised
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-climateattention_ctw_en.md b/docs/_posts/ahmedlone127/2024-11-11-climateattention_ctw_en.md
new file mode 100644
index 00000000000000..63a80ebbcd8fbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-climateattention_ctw_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English climateattention_ctw RoBertaForTokenClassification from kruthof
+author: John Snow Labs
+name: climateattention_ctw
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climateattention_ctw` is a English model originally trained by kruthof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climateattention_ctw_en_5.5.1_3.0_1731311348537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climateattention_ctw_en_5.5.1_3.0_1731311348537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climateattention_ctw|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|307.4 MB|
+
+## References
+
+https://huggingface.co/kruthof/climateattention-ctw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-climateattention_ctw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-climateattention_ctw_pipeline_en.md
new file mode 100644
index 00000000000000..9201831e6ece88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-climateattention_ctw_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English climateattention_ctw_pipeline pipeline RoBertaForTokenClassification from kruthof
+author: John Snow Labs
+name: climateattention_ctw_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climateattention_ctw_pipeline` is a English model originally trained by kruthof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climateattention_ctw_pipeline_en_5.5.1_3.0_1731311365014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climateattention_ctw_pipeline_en_5.5.1_3.0_1731311365014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("climateattention_ctw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("climateattention_ctw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climateattention_ctw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|307.4 MB|
+
+## References
+
+https://huggingface.co/kruthof/climateattention-ctw
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-clinical_trial_termination_en.md b/docs/_posts/ahmedlone127/2024-11-11-clinical_trial_termination_en.md
new file mode 100644
index 00000000000000..74d7c04df010c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-clinical_trial_termination_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clinical_trial_termination BertForSequenceClassification from clem21chan
+author: John Snow Labs
+name: clinical_trial_termination
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinical_trial_termination` is a English model originally trained by clem21chan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinical_trial_termination_en_5.5.1_3.0_1731309477045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinical_trial_termination_en_5.5.1_3.0_1731309477045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_trial_termination|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/clem21chan/clinical_trial_termination
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-clinical_trial_termination_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-clinical_trial_termination_pipeline_en.md
new file mode 100644
index 00000000000000..aeee5a4a1cac2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-clinical_trial_termination_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clinical_trial_termination_pipeline pipeline BertForSequenceClassification from clem21chan
+author: John Snow Labs
+name: clinical_trial_termination_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinical_trial_termination_pipeline` is a English model originally trained by clem21chan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinical_trial_termination_pipeline_en_5.5.1_3.0_1731309500897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinical_trial_termination_pipeline_en_5.5.1_3.0_1731309500897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clinical_trial_termination_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clinical_trial_termination_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_trial_termination_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.6 MB|
+
+## References
+
+https://huggingface.co/clem21chan/clinical_trial_termination
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-deberta_v3_large_lemon_spell_5k_en.md b/docs/_posts/ahmedlone127/2024-11-11-deberta_v3_large_lemon_spell_5k_en.md
new file mode 100644
index 00000000000000..2cdc1db3189282
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-deberta_v3_large_lemon_spell_5k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_lemon_spell_5k DeBertaForTokenClassification from manred1997
+author: John Snow Labs
+name: deberta_v3_large_lemon_spell_5k
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, deberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_lemon_spell_5k` is a English model originally trained by manred1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_lemon_spell_5k_en_5.5.1_3.0_1731306834489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_lemon_spell_5k_en_5.5.1_3.0_1731306834489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_lemon_spell_5k|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/manred1997/deberta-v3-large-lemon-spell_5k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-deberta_v3_large_lemon_spell_5k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-deberta_v3_large_lemon_spell_5k_pipeline_en.md
new file mode 100644
index 00000000000000..e765205041dfb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-deberta_v3_large_lemon_spell_5k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_lemon_spell_5k_pipeline pipeline DeBertaForTokenClassification from manred1997
+author: John Snow Labs
+name: deberta_v3_large_lemon_spell_5k_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_lemon_spell_5k_pipeline` is a English model originally trained by manred1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_lemon_spell_5k_pipeline_en_5.5.1_3.0_1731306916759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_lemon_spell_5k_pipeline_en_5.5.1_3.0_1731306916759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_lemon_spell_5k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_lemon_spell_5k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_lemon_spell_5k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/manred1997/deberta-v3-large-lemon-spell_5k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-deeppavlov_absa_en.md b/docs/_posts/ahmedlone127/2024-11-11-deeppavlov_absa_en.md
new file mode 100644
index 00000000000000..7a78ee7b43d0e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-deeppavlov_absa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deeppavlov_absa XlmRoBertaForTokenClassification from natriistorm
+author: John Snow Labs
+name: deeppavlov_absa
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deeppavlov_absa` is a English model originally trained by natriistorm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deeppavlov_absa_en_5.5.1_3.0_1731292999917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deeppavlov_absa_en_5.5.1_3.0_1731292999917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deeppavlov_absa|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|857.1 MB|
+
+## References
+
+https://huggingface.co/natriistorm/DeepPavlov-ABSA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-deeppavlov_absa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-deeppavlov_absa_pipeline_en.md
new file mode 100644
index 00000000000000..6a9194d07a8233
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-deeppavlov_absa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deeppavlov_absa_pipeline pipeline XlmRoBertaForTokenClassification from natriistorm
+author: John Snow Labs
+name: deeppavlov_absa_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deeppavlov_absa_pipeline` is a English model originally trained by natriistorm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deeppavlov_absa_pipeline_en_5.5.1_3.0_1731293111760.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deeppavlov_absa_pipeline_en_5.5.1_3.0_1731293111760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deeppavlov_absa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deeppavlov_absa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deeppavlov_absa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|857.1 MB|
+
+## References
+
+https://huggingface.co/natriistorm/DeepPavlov-ABSA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-distilhubert_korean_zeroth_ko.md b/docs/_posts/ahmedlone127/2024-11-11-distilhubert_korean_zeroth_ko.md
new file mode 100644
index 00000000000000..bd77dc0a180729
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-distilhubert_korean_zeroth_ko.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Korean distilhubert_korean_zeroth HubertForCTC from Bingsu
+author: John Snow Labs
+name: distilhubert_korean_zeroth
+date: 2024-11-11
+tags: [ko, open_source, onnx, asr, hubert]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: HubertForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilhubert_korean_zeroth` is a Korean model originally trained by Bingsu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilhubert_korean_zeroth_ko_5.5.1_3.0_1731285005655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilhubert_korean_zeroth_ko_5.5.1_3.0_1731285005655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilhubert_korean_zeroth|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ko|
+|Size:|183.5 MB|
+
+## References
+
+https://huggingface.co/Bingsu/distilhubert-ko-zeroth
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-distilhubert_korean_zeroth_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-11-11-distilhubert_korean_zeroth_pipeline_ko.md
new file mode 100644
index 00000000000000..e0de5f10ccf087
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-distilhubert_korean_zeroth_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean distilhubert_korean_zeroth_pipeline pipeline HubertForCTC from Bingsu
+author: John Snow Labs
+name: distilhubert_korean_zeroth_pipeline
+date: 2024-11-11
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilhubert_korean_zeroth_pipeline` is a Korean model originally trained by Bingsu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilhubert_korean_zeroth_pipeline_ko_5.5.1_3.0_1731285014876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilhubert_korean_zeroth_pipeline_ko_5.5.1_3.0_1731285014876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilhubert_korean_zeroth_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilhubert_korean_zeroth_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilhubert_korean_zeroth_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|183.5 MB|
+
+## References
+
+https://huggingface.co/Bingsu/distilhubert-ko-zeroth
+
+## Included Models
+
+- AudioAssembler
+- HubertForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-e5_base_en.md b/docs/_posts/ahmedlone127/2024-11-11-e5_base_en.md
new file mode 100644
index 00000000000000..d945cfebc6a6ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-e5_base_en.md
@@ -0,0 +1,67 @@
+---
+layout: model
+title: E5 Base Sentence Embeddings
+author: John Snow Labs
+name: e5_base
+date: 2024-11-11
+tags: [en, open_source, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: E5Embeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_base_en_5.5.1_3.0_1731300102963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_base_en_5.5.1_3.0_1731300102963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_base|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[E5]|
+|Language:|en|
+|Size:|258.6 MB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-e5_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-e5_base_pipeline_en.md
new file mode 100644
index 00000000000000..714ee62884d867
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-e5_base_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English e5_base_pipeline pipeline E5Embeddings from intfloat
+author: John Snow Labs
+name: e5_base_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_base_pipeline` is a English model originally trained by intfloat.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_base_pipeline_en_5.5.1_3.0_1731300180105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_base_pipeline_en_5.5.1_3.0_1731300180105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+pipeline = PretrainedPipeline("e5_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+```
+```scala
+val pipeline = new PretrainedPipeline("e5_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|258.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/intfloat/e5-base
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-e5_large_en.md b/docs/_posts/ahmedlone127/2024-11-11-e5_large_en.md
new file mode 100644
index 00000000000000..d4a5086d2ecfb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-e5_large_en.md
@@ -0,0 +1,75 @@
+---
+layout: model
+title: E5 Large Sentence Embeddings
+author: John Snow Labs
+name: e5_large
+date: 2024-11-11
+tags: [en, open_source, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: E5Embeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_large_en_5.5.1_3.0_1731300299067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_large_en_5.5.1_3.0_1731300299067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_small|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[E5]|
+|Language:|en|
+|Size:|79.9 MB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-e5_small_lora_ai_generated_detector_en.md b/docs/_posts/ahmedlone127/2024-11-11-e5_small_lora_ai_generated_detector_en.md
new file mode 100644
index 00000000000000..a3d9ef09ef1bb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-e5_small_lora_ai_generated_detector_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English e5_small_lora_ai_generated_detector BertForSequenceClassification from MayZhou
+author: John Snow Labs
+name: e5_small_lora_ai_generated_detector
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_small_lora_ai_generated_detector` is a English model originally trained by MayZhou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_small_lora_ai_generated_detector_en_5.5.1_3.0_1731309372403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_small_lora_ai_generated_detector_en_5.5.1_3.0_1731309372403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_small_lora_ai_generated_detector|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|87.5 MB|
+
+## References
+
+https://huggingface.co/MayZhou/e5-small-lora-ai-generated-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-e5_small_lora_ai_generated_detector_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-e5_small_lora_ai_generated_detector_pipeline_en.md
new file mode 100644
index 00000000000000..436ceffa5f5f5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-e5_small_lora_ai_generated_detector_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English e5_small_lora_ai_generated_detector_pipeline pipeline BertForSequenceClassification from MayZhou
+author: John Snow Labs
+name: e5_small_lora_ai_generated_detector_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_small_lora_ai_generated_detector_pipeline` is a English model originally trained by MayZhou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_small_lora_ai_generated_detector_pipeline_en_5.5.1_3.0_1731309394398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_small_lora_ai_generated_detector_pipeline_en_5.5.1_3.0_1731309394398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("e5_small_lora_ai_generated_detector_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("e5_small_lora_ai_generated_detector_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_small_lora_ai_generated_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|87.5 MB|
+
+## References
+
+https://huggingface.co/MayZhou/e5-small-lora-ai-generated-detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-e5_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-e5_small_pipeline_en.md
new file mode 100644
index 00000000000000..598d42aa0fb9d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-e5_small_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English e5_small_pipeline pipeline E5Embeddings from intfloat
+author: John Snow Labs
+name: e5_small_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e5_small_pipeline` is a English model originally trained by intfloat.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e5_small_pipeline_en_5.5.1_3.0_1731300067905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e5_small_pipeline_en_5.5.1_3.0_1731300067905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+pipeline = PretrainedPipeline("e5_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+```
+```scala
+val pipeline = new PretrainedPipeline("e5_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e5_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|79.9 MB|
+
+## References
+
+References
+
+https://huggingface.co/intfloat/e5-small
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-embedded_e5_base_50_en.md b/docs/_posts/ahmedlone127/2024-11-11-embedded_e5_base_50_en.md
new file mode 100644
index 00000000000000..06bcc9d7228d04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-embedded_e5_base_50_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English embedded_e5_base_50 E5Embeddings from rithwik-db
+author: John Snow Labs
+name: embedded_e5_base_50
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, e5]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: E5Embeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`embedded_e5_base_50` is a English model originally trained by rithwik-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/embedded_e5_base_50_en_5.5.1_3.0_1731300053310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/embedded_e5_base_50_en_5.5.1_3.0_1731300053310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|embedded_e5_base_50|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[E5]|
+|Language:|en|
+|Size:|379.2 MB|
+
+## References
+
+https://huggingface.co/rithwik-db/embedded-e5-base-50
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-embedded_e5_base_50_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-embedded_e5_base_50_pipeline_en.md
new file mode 100644
index 00000000000000..de6a205a9ba28d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-embedded_e5_base_50_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English embedded_e5_base_50_pipeline pipeline E5Embeddings from rithwik-db
+author: John Snow Labs
+name: embedded_e5_base_50_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`embedded_e5_base_50_pipeline` is a English model originally trained by rithwik-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/embedded_e5_base_50_pipeline_en_5.5.1_3.0_1731300084750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/embedded_e5_base_50_pipeline_en_5.5.1_3.0_1731300084750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("embedded_e5_base_50_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("embedded_e5_base_50_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|embedded_e5_base_50_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|379.3 MB|
+
+## References
+
+https://huggingface.co/rithwik-db/embedded-e5-base-50
+
+## Included Models
+
+- DocumentAssembler
+- E5Embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_german_hubert_s921_de.md b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_german_hubert_s921_de.md
new file mode 100644
index 00000000000000..abaaf8a40c5363
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_german_hubert_s921_de.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: German exp_w2v2t_german_hubert_s921 HubertForCTC from jonatasgrosman
+author: John Snow Labs
+name: exp_w2v2t_german_hubert_s921
+date: 2024-11-11
+tags: [de, open_source, onnx, asr, hubert]
+task: Automatic Speech Recognition
+language: de
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: HubertForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp_w2v2t_german_hubert_s921` is a German model originally trained by jonatasgrosman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp_w2v2t_german_hubert_s921_de_5.5.1_3.0_1731286788135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp_w2v2t_german_hubert_s921_de_5.5.1_3.0_1731286788135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp_w2v2t_german_hubert_s921|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|de|
+|Size:|2.4 GB|
+
+## References
+
+https://huggingface.co/jonatasgrosman/exp_w2v2t_de_hubert_s921
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_german_hubert_s921_pipeline_de.md b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_german_hubert_s921_pipeline_de.md
new file mode 100644
index 00000000000000..688625ff61f30b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_german_hubert_s921_pipeline_de.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: German exp_w2v2t_german_hubert_s921_pipeline pipeline HubertForCTC from jonatasgrosman
+author: John Snow Labs
+name: exp_w2v2t_german_hubert_s921_pipeline
+date: 2024-11-11
+tags: [de, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: de
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp_w2v2t_german_hubert_s921_pipeline` is a German model originally trained by jonatasgrosman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp_w2v2t_german_hubert_s921_pipeline_de_5.5.1_3.0_1731286902986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp_w2v2t_german_hubert_s921_pipeline_de_5.5.1_3.0_1731286902986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("exp_w2v2t_german_hubert_s921_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("exp_w2v2t_german_hubert_s921_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp_w2v2t_german_hubert_s921_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|2.4 GB|
+
+## References
+
+https://huggingface.co/jonatasgrosman/exp_w2v2t_de_hubert_s921
+
+## Included Models
+
+- AudioAssembler
+- HubertForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_persian_farsi_hubert_s889_fa.md b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_persian_farsi_hubert_s889_fa.md
new file mode 100644
index 00000000000000..f1767a4b5e2d37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_persian_farsi_hubert_s889_fa.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Persian exp_w2v2t_persian_farsi_hubert_s889 HubertForCTC from jonatasgrosman
+author: John Snow Labs
+name: exp_w2v2t_persian_farsi_hubert_s889
+date: 2024-11-11
+tags: [fa, open_source, onnx, asr, hubert]
+task: Automatic Speech Recognition
+language: fa
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: HubertForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp_w2v2t_persian_farsi_hubert_s889` is a Persian model originally trained by jonatasgrosman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp_w2v2t_persian_farsi_hubert_s889_fa_5.5.1_3.0_1731283735194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp_w2v2t_persian_farsi_hubert_s889_fa_5.5.1_3.0_1731283735194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp_w2v2t_persian_farsi_hubert_s889|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|fa|
+|Size:|2.4 GB|
+
+## References
+
+https://huggingface.co/jonatasgrosman/exp_w2v2t_fa_hubert_s889
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_persian_farsi_hubert_s889_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_persian_farsi_hubert_s889_pipeline_fa.md
new file mode 100644
index 00000000000000..f8a5b94d21856f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-exp_w2v2t_persian_farsi_hubert_s889_pipeline_fa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Persian exp_w2v2t_persian_farsi_hubert_s889_pipeline pipeline HubertForCTC from jonatasgrosman
+author: John Snow Labs
+name: exp_w2v2t_persian_farsi_hubert_s889_pipeline
+date: 2024-11-11
+tags: [fa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fa
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp_w2v2t_persian_farsi_hubert_s889_pipeline` is a Persian model originally trained by jonatasgrosman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp_w2v2t_persian_farsi_hubert_s889_pipeline_fa_5.5.1_3.0_1731283877387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp_w2v2t_persian_farsi_hubert_s889_pipeline_fa_5.5.1_3.0_1731283877387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("exp_w2v2t_persian_farsi_hubert_s889_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("exp_w2v2t_persian_farsi_hubert_s889_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp_w2v2t_persian_farsi_hubert_s889_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|2.4 GB|
+
+## References
+
+https://huggingface.co/jonatasgrosman/exp_w2v2t_fa_hubert_s889
+
+## Included Models
+
+- AudioAssembler
+- HubertForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fab_ramy_v1_en.md b/docs/_posts/ahmedlone127/2024-11-11-fab_ramy_v1_en.md
new file mode 100644
index 00000000000000..5232e8bf3394d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fab_ramy_v1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fab_ramy_v1 MPNetEmbeddings from qinxianliu
+author: John Snow Labs
+name: fab_ramy_v1
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fab_ramy_v1` is a English model originally trained by qinxianliu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fab_ramy_v1_en_5.5.1_3.0_1731294774877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fab_ramy_v1_en_5.5.1_3.0_1731294774877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fab_ramy_v1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/qinxianliu/FAB-Ramy-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fab_ramy_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fab_ramy_v1_pipeline_en.md
new file mode 100644
index 00000000000000..ec125add711018
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fab_ramy_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fab_ramy_v1_pipeline pipeline MPNetEmbeddings from qinxianliu
+author: John Snow Labs
+name: fab_ramy_v1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fab_ramy_v1_pipeline` is a English model originally trained by qinxianliu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fab_ramy_v1_pipeline_en_5.5.1_3.0_1731294796154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fab_ramy_v1_pipeline_en_5.5.1_3.0_1731294796154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fab_ramy_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fab_ramy_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fab_ramy_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/qinxianliu/FAB-Ramy-v1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-factuality_model_en.md b/docs/_posts/ahmedlone127/2024-11-11-factuality_model_en.md
new file mode 100644
index 00000000000000..0d89b27c77db7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-factuality_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English factuality_model BertForSequenceClassification from gljj
+author: John Snow Labs
+name: factuality_model
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`factuality_model` is a English model originally trained by gljj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/factuality_model_en_5.5.1_3.0_1731309550709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/factuality_model_en_5.5.1_3.0_1731309550709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|factuality_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/gljj/factuality-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-factuality_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-factuality_model_pipeline_en.md
new file mode 100644
index 00000000000000..029a7e3f16c80e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-factuality_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English factuality_model_pipeline pipeline BertForSequenceClassification from gljj
+author: John Snow Labs
+name: factuality_model_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`factuality_model_pipeline` is a English model originally trained by gljj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/factuality_model_pipeline_en_5.5.1_3.0_1731309573179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/factuality_model_pipeline_en_5.5.1_3.0_1731309573179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("factuality_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("factuality_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|factuality_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/gljj/factuality-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fashion_clip_inference_en.md b/docs/_posts/ahmedlone127/2024-11-11-fashion_clip_inference_en.md
new file mode 100644
index 00000000000000..b9d41b4fbd0961
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fashion_clip_inference_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English fashion_clip_inference CLIPForZeroShotClassification from Fluf22
+author: John Snow Labs
+name: fashion_clip_inference
+date: 2024-11-11
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fashion_clip_inference` is a English model originally trained by Fluf22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fashion_clip_inference_en_5.5.1_3.0_1731287432963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fashion_clip_inference_en_5.5.1_3.0_1731287432963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("fashion_clip_inference","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("fashion_clip_inference","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fashion_clip_inference|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|397.7 MB|
+
+## References
+
+https://huggingface.co/Fluf22/fashion-clip-inference
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fashion_clip_inference_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fashion_clip_inference_pipeline_en.md
new file mode 100644
index 00000000000000..65e5dac4959c25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fashion_clip_inference_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fashion_clip_inference_pipeline pipeline CLIPForZeroShotClassification from Fluf22
+author: John Snow Labs
+name: fashion_clip_inference_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fashion_clip_inference_pipeline` is a English model originally trained by Fluf22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fashion_clip_inference_pipeline_en_5.5.1_3.0_1731287527759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fashion_clip_inference_pipeline_en_5.5.1_3.0_1731287527759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fashion_clip_inference_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fashion_clip_inference_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fashion_clip_inference_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|397.7 MB|
+
+## References
+
+https://huggingface.co/Fluf22/fashion-clip-inference
+
+## Included Models
+
+- ImageAssembler
+- CLIPForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_bge_large_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_bge_large_en.md
new file mode 100644
index 00000000000000..e11b067a8a7785
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_bge_large_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English fine_tuned_bge_large BGEEmbeddings from VaggP
+author: John Snow Labs
+name: fine_tuned_bge_large
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bge_large` is a English model originally trained by VaggP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bge_large_en_5.5.1_3.0_1731313695765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bge_large_en_5.5.1_3.0_1731313695765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bge_large|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/VaggP/fine-tuned-bge-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_bge_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_bge_large_pipeline_en.md
new file mode 100644
index 00000000000000..757152937ee2a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_bge_large_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_bge_large_pipeline pipeline BGEEmbeddings from VaggP
+author: John Snow Labs
+name: fine_tuned_bge_large_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bge_large_pipeline` is a English model originally trained by VaggP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bge_large_pipeline_en_5.5.1_3.0_1731313768340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bge_large_pipeline_en_5.5.1_3.0_1731313768340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_bge_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_bge_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bge_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/VaggP/fine-tuned-bge-large
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_en.md
new file mode 100644
index 00000000000000..373910cc722f33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05 BertForQuestionAnswering from muhammadravi251001
+author: John Snow Labs
+name: fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05` is a English model originally trained by muhammadravi251001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_en_5.5.1_3.0_1731288819872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_en_5.5.1_3.0_1731288819872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/muhammadravi251001/fine-tuned-DatasetQAS-IDK-MRC-with-indobert-large-p2-with-ITTL-with-freeze-LR-1e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline_en.md
new file mode 100644
index 00000000000000..e12fac29b141f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline pipeline BertForQuestionAnswering from muhammadravi251001
+author: John Snow Labs
+name: fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline` is a English model originally trained by muhammadravi251001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline_en_5.5.1_3.0_1731288888810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline_en_5.5.1_3.0_1731288888810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_datasetqas_idk_mrc_with_indobert_large_p2_with_ittl_with_freeze_lr_1e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/muhammadravi251001/fine-tuned-DatasetQAS-IDK-MRC-with-indobert-large-p2-with-ITTL-with-freeze-LR-1e-05
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_metaphor_detection_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_metaphor_detection_en.md
new file mode 100644
index 00000000000000..4ee03c04d84b8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_metaphor_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_metaphor_detection BertForSequenceClassification from Sasidhar1826
+author: John Snow Labs
+name: fine_tuned_metaphor_detection
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_metaphor_detection` is a English model originally trained by Sasidhar1826.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_metaphor_detection_en_5.5.1_3.0_1731309326875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_metaphor_detection_en_5.5.1_3.0_1731309326875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_metaphor_detection|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Sasidhar1826/fine-tuned-metaphor-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_metaphor_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_metaphor_detection_pipeline_en.md
new file mode 100644
index 00000000000000..17786ff6b61d0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_metaphor_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_metaphor_detection_pipeline pipeline BertForSequenceClassification from Sasidhar1826
+author: John Snow Labs
+name: fine_tuned_metaphor_detection_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_metaphor_detection_pipeline` is a English model originally trained by Sasidhar1826.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_metaphor_detection_pipeline_en_5.5.1_3.0_1731309349158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_metaphor_detection_pipeline_en_5.5.1_3.0_1731309349158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_metaphor_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_metaphor_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_metaphor_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Sasidhar1826/fine-tuned-metaphor-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_model_resume_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_model_resume_en.md
new file mode 100644
index 00000000000000..d17011b2be0e65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_model_resume_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tuned_model_resume MPNetEmbeddings from chamalbistec
+author: John Snow Labs
+name: fine_tuned_model_resume
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_model_resume` is a English model originally trained by chamalbistec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_model_resume_en_5.5.1_3.0_1731294871924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_model_resume_en_5.5.1_3.0_1731294871924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_model_resume|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/chamalbistec/fine-tuned-model-resume
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_model_resume_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_model_resume_pipeline_en.md
new file mode 100644
index 00000000000000..bb0960d9de45d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_model_resume_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_model_resume_pipeline pipeline MPNetEmbeddings from chamalbistec
+author: John Snow Labs
+name: fine_tuned_model_resume_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_model_resume_pipeline` is a English model originally trained by chamalbistec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_model_resume_pipeline_en_5.5.1_3.0_1731294897314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_model_resume_pipeline_en_5.5.1_3.0_1731294897314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_model_resume_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_model_resume_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_model_resume_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/chamalbistec/fine-tuned-model-resume
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_mpnet_model_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_mpnet_model_en.md
new file mode 100644
index 00000000000000..72e94d2f098f26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_mpnet_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tuned_mpnet_model MPNetEmbeddings from adityasajja6
+author: John Snow Labs
+name: fine_tuned_mpnet_model
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_mpnet_model` is a English model originally trained by adityasajja6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_mpnet_model_en_5.5.1_3.0_1731294702635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_mpnet_model_en_5.5.1_3.0_1731294702635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_mpnet_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/adityasajja6/fine_tuned_mpnet_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_mpnet_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_mpnet_model_pipeline_en.md
new file mode 100644
index 00000000000000..386ac09a149993
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fine_tuned_mpnet_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_mpnet_model_pipeline pipeline MPNetEmbeddings from adityasajja6
+author: John Snow Labs
+name: fine_tuned_mpnet_model_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_mpnet_model_pipeline` is a English model originally trained by adityasajja6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_mpnet_model_pipeline_en_5.5.1_3.0_1731294728871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_mpnet_model_pipeline_en_5.5.1_3.0_1731294728871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_mpnet_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_mpnet_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_mpnet_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/adityasajja6/fine_tuned_mpnet_model
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-finetuned_baai_bge_base_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-finetuned_baai_bge_base_english_pipeline_en.md
new file mode 100644
index 00000000000000..0bbb8d7b5faf31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-finetuned_baai_bge_base_english_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetuned_baai_bge_base_english_pipeline pipeline BGEEmbeddings from ivanleomk
+author: John Snow Labs
+name: finetuned_baai_bge_base_english_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_baai_bge_base_english_pipeline` is a English model originally trained by ivanleomk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_baai_bge_base_english_pipeline_en_5.5.1_3.0_1731312762847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_baai_bge_base_english_pipeline_en_5.5.1_3.0_1731312762847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_baai_bge_base_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_baai_bge_base_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_baai_bge_base_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|376.1 MB|
+
+## References
+
+https://huggingface.co/ivanleomk/finetuned-BAAI-bge-base-en
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-finetuned_bge_base_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-finetuned_bge_base_english_pipeline_en.md
new file mode 100644
index 00000000000000..05ea6358173bfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-finetuned_bge_base_english_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetuned_bge_base_english_pipeline pipeline BGEEmbeddings from ivanleomk
+author: John Snow Labs
+name: finetuned_bge_base_english_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bge_base_english_pipeline` is a English model originally trained by ivanleomk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bge_base_english_pipeline_en_5.5.1_3.0_1731312760292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bge_base_english_pipeline_en_5.5.1_3.0_1731312760292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bge_base_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bge_base_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bge_base_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|376.1 MB|
+
+## References
+
+https://huggingface.co/ivanleomk/finetuned-bge-base-en
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-finetuned_embedding_v3_en.md b/docs/_posts/ahmedlone127/2024-11-11-finetuned_embedding_v3_en.md
new file mode 100644
index 00000000000000..db764750f949ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-finetuned_embedding_v3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English finetuned_embedding_v3 MPNetEmbeddings from KayaAI
+author: John Snow Labs
+name: finetuned_embedding_v3
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_embedding_v3` is a English model originally trained by KayaAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_embedding_v3_en_5.5.1_3.0_1731294877887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_embedding_v3_en_5.5.1_3.0_1731294877887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_embedding_v3|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/KayaAI/finetuned_embedding_v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-finetuned_embedding_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-finetuned_embedding_v3_pipeline_en.md
new file mode 100644
index 00000000000000..f2c4c95430ccde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-finetuned_embedding_v3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetuned_embedding_v3_pipeline pipeline MPNetEmbeddings from KayaAI
+author: John Snow Labs
+name: finetuned_embedding_v3_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_embedding_v3_pipeline` is a English model originally trained by KayaAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_embedding_v3_pipeline_en_5.5.1_3.0_1731294900663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_embedding_v3_pipeline_en_5.5.1_3.0_1731294900663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_embedding_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_embedding_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_embedding_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/KayaAI/finetuned_embedding_v3
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-finetuned_sentence_similarity_en.md b/docs/_posts/ahmedlone127/2024-11-11-finetuned_sentence_similarity_en.md
new file mode 100644
index 00000000000000..52d484ace9a5e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-finetuned_sentence_similarity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_sentence_similarity MPNetForSequenceClassification from SynthAIzer
+author: John Snow Labs
+name: finetuned_sentence_similarity
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_similarity` is a English model originally trained by SynthAIzer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_similarity_en_5.5.1_3.0_1731301475665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_similarity_en_5.5.1_3.0_1731301475665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_similarity|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.2 MB|
+
+## References
+
+https://huggingface.co/SynthAIzer/finetuned-sentence-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-finetuned_sentence_similarity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-finetuned_sentence_similarity_pipeline_en.md
new file mode 100644
index 00000000000000..9c2bffa5fa63ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-finetuned_sentence_similarity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_sentence_similarity_pipeline pipeline MPNetForSequenceClassification from SynthAIzer
+author: John Snow Labs
+name: finetuned_sentence_similarity_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_similarity_pipeline` is a English model originally trained by SynthAIzer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_similarity_pipeline_en_5.5.1_3.0_1731301497210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_similarity_pipeline_en_5.5.1_3.0_1731301497210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_sentence_similarity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_sentence_similarity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_similarity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.2 MB|
+
+## References
+
+https://huggingface.co/SynthAIzer/finetuned-sentence-similarity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-flash_italian_ns_classifier_fpt_en.md b/docs/_posts/ahmedlone127/2024-11-11-flash_italian_ns_classifier_fpt_en.md
new file mode 100644
index 00000000000000..b22987d16eea1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-flash_italian_ns_classifier_fpt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English flash_italian_ns_classifier_fpt BertForSequenceClassification from mrinaldi
+author: John Snow Labs
+name: flash_italian_ns_classifier_fpt
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flash_italian_ns_classifier_fpt` is a English model originally trained by mrinaldi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flash_italian_ns_classifier_fpt_en_5.5.1_3.0_1731310131977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flash_italian_ns_classifier_fpt_en_5.5.1_3.0_1731310131977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flash_italian_ns_classifier_fpt|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/mrinaldi/flash-it-ns-classifier-fpt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-flash_italian_ns_classifier_fpt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-flash_italian_ns_classifier_fpt_pipeline_en.md
new file mode 100644
index 00000000000000..c0e1f68af987d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-flash_italian_ns_classifier_fpt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English flash_italian_ns_classifier_fpt_pipeline pipeline BertForSequenceClassification from mrinaldi
+author: John Snow Labs
+name: flash_italian_ns_classifier_fpt_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flash_italian_ns_classifier_fpt_pipeline` is a English model originally trained by mrinaldi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flash_italian_ns_classifier_fpt_pipeline_en_5.5.1_3.0_1731310156304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flash_italian_ns_classifier_fpt_pipeline_en_5.5.1_3.0_1731310156304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("flash_italian_ns_classifier_fpt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("flash_italian_ns_classifier_fpt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flash_italian_ns_classifier_fpt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/mrinaldi/flash-it-ns-classifier-fpt
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fund_embedder_en.md b/docs/_posts/ahmedlone127/2024-11-11-fund_embedder_en.md
new file mode 100644
index 00000000000000..4abe5667d2f891
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fund_embedder_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fund_embedder MPNetEmbeddings from tifin-india
+author: John Snow Labs
+name: fund_embedder
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fund_embedder` is a English model originally trained by tifin-india.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fund_embedder_en_5.5.1_3.0_1731295095363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fund_embedder_en_5.5.1_3.0_1731295095363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fund_embedder|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|387.1 MB|
+
+## References
+
+https://huggingface.co/tifin-india/fund-embedder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-fund_embedder_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-fund_embedder_pipeline_en.md
new file mode 100644
index 00000000000000..2126840c73fb50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-fund_embedder_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fund_embedder_pipeline pipeline MPNetEmbeddings from tifin-india
+author: John Snow Labs
+name: fund_embedder_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fund_embedder_pipeline` is a English model originally trained by tifin-india.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fund_embedder_pipeline_en_5.5.1_3.0_1731295128618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fund_embedder_pipeline_en_5.5.1_3.0_1731295128618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fund_embedder_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fund_embedder_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fund_embedder_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|387.1 MB|
+
+## References
+
+https://huggingface.co/tifin-india/fund-embedder
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hardware_ner_prod_en.md b/docs/_posts/ahmedlone127/2024-11-11-hardware_ner_prod_en.md
new file mode 100644
index 00000000000000..87812d0d24795d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hardware_ner_prod_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hardware_ner_prod BertForTokenClassification from hadiaskari98
+author: John Snow Labs
+name: hardware_ner_prod
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hardware_ner_prod` is a English model originally trained by hadiaskari98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hardware_ner_prod_en_5.5.1_3.0_1731299413030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hardware_ner_prod_en_5.5.1_3.0_1731299413030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hardware_ner_prod|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/hadiaskari98/Hardware_NER_prod
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hardware_ner_prod_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-hardware_ner_prod_pipeline_en.md
new file mode 100644
index 00000000000000..a1f134e615be42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hardware_ner_prod_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hardware_ner_prod_pipeline pipeline BertForTokenClassification from hadiaskari98
+author: John Snow Labs
+name: hardware_ner_prod_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hardware_ner_prod_pipeline` is a English model originally trained by hadiaskari98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hardware_ner_prod_pipeline_en_5.5.1_3.0_1731299477477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hardware_ner_prod_pipeline_en_5.5.1_3.0_1731299477477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hardware_ner_prod_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hardware_ner_prod_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hardware_ner_prod_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/hadiaskari98/Hardware_NER_prod
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hebert_finetuned_precedents_he.md b/docs/_posts/ahmedlone127/2024-11-11-hebert_finetuned_precedents_he.md
new file mode 100644
index 00000000000000..5a824261538baa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hebert_finetuned_precedents_he.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Hebrew hebert_finetuned_precedents BertForQuestionAnswering from shay681
+author: John Snow Labs
+name: hebert_finetuned_precedents
+date: 2024-11-11
+tags: [he, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: he
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebert_finetuned_precedents` is a Hebrew model originally trained by shay681.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebert_finetuned_precedents_he_5.5.1_3.0_1731307828918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebert_finetuned_precedents_he_5.5.1_3.0_1731307828918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebert_finetuned_precedents|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|he|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/shay681/HeBERT_finetuned_Precedents
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hebert_finetuned_precedents_pipeline_he.md b/docs/_posts/ahmedlone127/2024-11-11-hebert_finetuned_precedents_pipeline_he.md
new file mode 100644
index 00000000000000..c4699032f5ebb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hebert_finetuned_precedents_pipeline_he.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hebrew hebert_finetuned_precedents_pipeline pipeline BertForQuestionAnswering from shay681
+author: John Snow Labs
+name: hebert_finetuned_precedents_pipeline
+date: 2024-11-11
+tags: [he, open_source, pipeline, onnx]
+task: Question Answering
+language: he
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebert_finetuned_precedents_pipeline` is a Hebrew model originally trained by shay681.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebert_finetuned_precedents_pipeline_he_5.5.1_3.0_1731307850161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebert_finetuned_precedents_pipeline_he_5.5.1_3.0_1731307850161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hebert_finetuned_precedents_pipeline", lang = "he")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hebert_finetuned_precedents_pipeline", lang = "he")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebert_finetuned_precedents_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|he|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/shay681/HeBERT_finetuned_Precedents
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hs_arabic_translate_syn_4class_for_tool_en.md b/docs/_posts/ahmedlone127/2024-11-11-hs_arabic_translate_syn_4class_for_tool_en.md
new file mode 100644
index 00000000000000..83ca6f6b20b0a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hs_arabic_translate_syn_4class_for_tool_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hs_arabic_translate_syn_4class_for_tool BertForSequenceClassification from SoDehghan
+author: John Snow Labs
+name: hs_arabic_translate_syn_4class_for_tool
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hs_arabic_translate_syn_4class_for_tool` is a English model originally trained by SoDehghan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hs_arabic_translate_syn_4class_for_tool_en_5.5.1_3.0_1731309364917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hs_arabic_translate_syn_4class_for_tool_en_5.5.1_3.0_1731309364917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hs_arabic_translate_syn_4class_for_tool|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.5 MB|
+
+## References
+
+https://huggingface.co/SoDehghan/hs-ar-translate-syn-4class-for-tool
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hs_arabic_translate_syn_4class_for_tool_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-hs_arabic_translate_syn_4class_for_tool_pipeline_en.md
new file mode 100644
index 00000000000000..0e5028da215122
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hs_arabic_translate_syn_4class_for_tool_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hs_arabic_translate_syn_4class_for_tool_pipeline pipeline BertForSequenceClassification from SoDehghan
+author: John Snow Labs
+name: hs_arabic_translate_syn_4class_for_tool_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hs_arabic_translate_syn_4class_for_tool_pipeline` is a English model originally trained by SoDehghan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hs_arabic_translate_syn_4class_for_tool_pipeline_en_5.5.1_3.0_1731309392366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hs_arabic_translate_syn_4class_for_tool_pipeline_en_5.5.1_3.0_1731309392366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hs_arabic_translate_syn_4class_for_tool_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hs_arabic_translate_syn_4class_for_tool_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hs_arabic_translate_syn_4class_for_tool_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.5 MB|
+
+## References
+
+https://huggingface.co/SoDehghan/hs-ar-translate-syn-4class-for-tool
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hubert_base_japanese_asr_ja.md b/docs/_posts/ahmedlone127/2024-11-11-hubert_base_japanese_asr_ja.md
new file mode 100644
index 00000000000000..9664aa5c122e38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hubert_base_japanese_asr_ja.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Japanese hubert_base_japanese_asr HubertForCTC from TKU410410103
+author: John Snow Labs
+name: hubert_base_japanese_asr
+date: 2024-11-11
+tags: [ja, open_source, onnx, asr, hubert]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: HubertForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hubert_base_japanese_asr` is a Japanese model originally trained by TKU410410103.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubert_base_japanese_asr_ja_5.5.1_3.0_1731284393140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubert_base_japanese_asr_ja_5.5.1_3.0_1731284393140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubert_base_japanese_asr|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ja|
+|Size:|697.4 MB|
+
+## References
+
+https://huggingface.co/TKU410410103/hubert-base-japanese-asr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hubert_base_japanese_asr_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-11-11-hubert_base_japanese_asr_pipeline_ja.md
new file mode 100644
index 00000000000000..a3c5ebae6a180f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hubert_base_japanese_asr_pipeline_ja.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Japanese hubert_base_japanese_asr_pipeline pipeline HubertForCTC from TKU410410103
+author: John Snow Labs
+name: hubert_base_japanese_asr_pipeline
+date: 2024-11-11
+tags: [ja, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hubert_base_japanese_asr_pipeline` is a Japanese model originally trained by TKU410410103.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubert_base_japanese_asr_pipeline_ja_5.5.1_3.0_1731284434411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubert_base_japanese_asr_pipeline_ja_5.5.1_3.0_1731284434411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hubert_base_japanese_asr_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hubert_base_japanese_asr_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubert_base_japanese_asr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|697.4 MB|
+
+## References
+
+https://huggingface.co/TKU410410103/hubert-base-japanese-asr
+
+## Included Models
+
+- AudioAssembler
+- HubertForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hubert_large_arabic_egyptian_ar.md b/docs/_posts/ahmedlone127/2024-11-11-hubert_large_arabic_egyptian_ar.md
new file mode 100644
index 00000000000000..7efe6d4c7e1243
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hubert_large_arabic_egyptian_ar.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Arabic hubert_large_arabic_egyptian HubertForCTC from omarxadel
+author: John Snow Labs
+name: hubert_large_arabic_egyptian
+date: 2024-11-11
+tags: [ar, open_source, onnx, asr, hubert]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: HubertForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hubert_large_arabic_egyptian` is a Arabic model originally trained by omarxadel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubert_large_arabic_egyptian_ar_5.5.1_3.0_1731283621734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubert_large_arabic_egyptian_ar_5.5.1_3.0_1731283621734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubert_large_japanese_asr|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ja|
+|Size:|2.4 GB|
+
+## References
+
+https://huggingface.co/TKU410410103/hubert-large-japanese-asr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hubert_large_japanese_asr_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-11-11-hubert_large_japanese_asr_pipeline_ja.md
new file mode 100644
index 00000000000000..6259a5600a7c6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hubert_large_japanese_asr_pipeline_ja.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Japanese hubert_large_japanese_asr_pipeline pipeline HubertForCTC from TKU410410103
+author: John Snow Labs
+name: hubert_large_japanese_asr_pipeline
+date: 2024-11-11
+tags: [ja, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hubert_large_japanese_asr_pipeline` is a Japanese model originally trained by TKU410410103.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubert_large_japanese_asr_pipeline_ja_5.5.1_3.0_1731283833877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubert_large_japanese_asr_pipeline_ja_5.5.1_3.0_1731283833877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hubert_large_japanese_asr_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hubert_large_japanese_asr_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubert_large_japanese_asr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|2.4 GB|
+
+## References
+
+https://huggingface.co/TKU410410103/hubert-large-japanese-asr
+
+## Included Models
+
+- AudioAssembler
+- HubertForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hubert_ukrainian_pipeline_uk.md b/docs/_posts/ahmedlone127/2024-11-11-hubert_ukrainian_pipeline_uk.md
new file mode 100644
index 00000000000000..b0f3f201db86bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hubert_ukrainian_pipeline_uk.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Ukrainian hubert_ukrainian_pipeline pipeline HubertForCTC from Yehor
+author: John Snow Labs
+name: hubert_ukrainian_pipeline
+date: 2024-11-11
+tags: [uk, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: uk
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hubert_ukrainian_pipeline` is a Ukrainian model originally trained by Yehor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubert_ukrainian_pipeline_uk_5.5.1_3.0_1731284523933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubert_ukrainian_pipeline_uk_5.5.1_3.0_1731284523933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hubert_ukrainian_pipeline", lang = "uk")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hubert_ukrainian_pipeline", lang = "uk")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubert_ukrainian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|uk|
+|Size:|708.6 MB|
+
+## References
+
+https://huggingface.co/Yehor/hubert-uk
+
+## Included Models
+
+- AudioAssembler
+- HubertForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hubert_ukrainian_uk.md b/docs/_posts/ahmedlone127/2024-11-11-hubert_ukrainian_uk.md
new file mode 100644
index 00000000000000..6e6498989a4c9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hubert_ukrainian_uk.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Ukrainian hubert_ukrainian HubertForCTC from Yehor
+author: John Snow Labs
+name: hubert_ukrainian
+date: 2024-11-11
+tags: [uk, open_source, onnx, asr, hubert]
+task: Automatic Speech Recognition
+language: uk
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: HubertForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hubert_ukrainian` is a Ukrainian model originally trained by Yehor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubert_ukrainian_uk_5.5.1_3.0_1731284486012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubert_ukrainian_uk_5.5.1_3.0_1731284486012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw1_2_question_answering_bert_base_chinese_finetuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/b10401015/hw1-2-question_answering-bert-base-chinese-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-hw1_2_question_answering_bert_base_chinese_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-hw1_2_question_answering_bert_base_chinese_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..27192cee5c112e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-hw1_2_question_answering_bert_base_chinese_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English hw1_2_question_answering_bert_base_chinese_finetuned_pipeline pipeline BertForQuestionAnswering from b10401015
+author: John Snow Labs
+name: hw1_2_question_answering_bert_base_chinese_finetuned_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1_2_question_answering_bert_base_chinese_finetuned_pipeline` is a English model originally trained by b10401015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1_2_question_answering_bert_base_chinese_finetuned_pipeline_en_5.5.1_3.0_1731289468089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1_2_question_answering_bert_base_chinese_finetuned_pipeline_en_5.5.1_3.0_1731289468089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw1_2_question_answering_bert_base_chinese_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw1_2_question_answering_bert_base_chinese_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw1_2_question_answering_bert_base_chinese_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/b10401015/hw1-2-question_answering-bert-base-chinese-finetuned
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-indobert_squad_indonesian_en.md b/docs/_posts/ahmedlone127/2024-11-11-indobert_squad_indonesian_en.md
new file mode 100644
index 00000000000000..83f7c5bb4fd845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-indobert_squad_indonesian_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English indobert_squad_indonesian BertForQuestionAnswering from malaputri
+author: John Snow Labs
+name: indobert_squad_indonesian
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_squad_indonesian` is a English model originally trained by malaputri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_squad_indonesian_en_5.5.1_3.0_1731288942482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_squad_indonesian_en_5.5.1_3.0_1731288942482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_squad_indonesian|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/malaputri/indobert-squad-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-indobert_squad_indonesian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-indobert_squad_indonesian_pipeline_en.md
new file mode 100644
index 00000000000000..0e68cf8f231ab5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-indobert_squad_indonesian_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English indobert_squad_indonesian_pipeline pipeline BertForQuestionAnswering from malaputri
+author: John Snow Labs
+name: indobert_squad_indonesian_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_squad_indonesian_pipeline` is a English model originally trained by malaputri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_squad_indonesian_pipeline_en_5.5.1_3.0_1731288966242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_squad_indonesian_pipeline_en_5.5.1_3.0_1731288966242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indobert_squad_indonesian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indobert_squad_indonesian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_squad_indonesian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/malaputri/indobert-squad-id
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-indonesian_roberta_base_nerp_tagger_en.md b/docs/_posts/ahmedlone127/2024-11-11-indonesian_roberta_base_nerp_tagger_en.md
new file mode 100644
index 00000000000000..20ab05f1228396
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-indonesian_roberta_base_nerp_tagger_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English indonesian_roberta_base_nerp_tagger RoBertaForTokenClassification from w11wo
+author: John Snow Labs
+name: indonesian_roberta_base_nerp_tagger
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indonesian_roberta_base_nerp_tagger` is a English model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_nerp_tagger_en_5.5.1_3.0_1731311367416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_nerp_tagger_en_5.5.1_3.0_1731311367416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesian_roberta_base_nerp_tagger|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|465.5 MB|
+
+## References
+
+https://huggingface.co/w11wo/indonesian-roberta-base-nerp-tagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-indonesian_roberta_base_nerp_tagger_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-indonesian_roberta_base_nerp_tagger_pipeline_en.md
new file mode 100644
index 00000000000000..ed62781eb46655
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-indonesian_roberta_base_nerp_tagger_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English indonesian_roberta_base_nerp_tagger_pipeline pipeline RoBertaForTokenClassification from w11wo
+author: John Snow Labs
+name: indonesian_roberta_base_nerp_tagger_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indonesian_roberta_base_nerp_tagger_pipeline` is a English model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_nerp_tagger_pipeline_en_5.5.1_3.0_1731311391967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_nerp_tagger_pipeline_en_5.5.1_3.0_1731311391967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indonesian_roberta_base_nerp_tagger_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indonesian_roberta_base_nerp_tagger_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesian_roberta_base_nerp_tagger_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.5 MB|
+
+## References
+
+https://huggingface.co/w11wo/indonesian-roberta-base-nerp-tagger
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-kaggle_detect_generated_text_en.md b/docs/_posts/ahmedlone127/2024-11-11-kaggle_detect_generated_text_en.md
new file mode 100644
index 00000000000000..eac97868008a6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-kaggle_detect_generated_text_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English kaggle_detect_generated_text BertForSequenceClassification from fagner
+author: John Snow Labs
+name: kaggle_detect_generated_text
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kaggle_detect_generated_text` is a English model originally trained by fagner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kaggle_detect_generated_text_en_5.5.1_3.0_1731309407438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kaggle_detect_generated_text_en_5.5.1_3.0_1731309407438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kaggle_detect_generated_text|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/fagner/kaggle-detect-generated-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-kaggle_detect_generated_text_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-kaggle_detect_generated_text_pipeline_en.md
new file mode 100644
index 00000000000000..bc1c2e832b4942
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-kaggle_detect_generated_text_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kaggle_detect_generated_text_pipeline pipeline BertForSequenceClassification from fagner
+author: John Snow Labs
+name: kaggle_detect_generated_text_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kaggle_detect_generated_text_pipeline` is a English model originally trained by fagner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kaggle_detect_generated_text_pipeline_en_5.5.1_3.0_1731309428785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kaggle_detect_generated_text_pipeline_en_5.5.1_3.0_1731309428785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kaggle_detect_generated_text_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kaggle_detect_generated_text_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kaggle_detect_generated_text_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/fagner/kaggle-detect-generated-text
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-keybert_bulgarian_bg.md b/docs/_posts/ahmedlone127/2024-11-11-keybert_bulgarian_bg.md
new file mode 100644
index 00000000000000..b2cfa011512d1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-keybert_bulgarian_bg.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Bulgarian keybert_bulgarian BertForTokenClassification from auhide
+author: John Snow Labs
+name: keybert_bulgarian
+date: 2024-11-11
+tags: [bg, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: bg
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keybert_bulgarian` is a Bulgarian model originally trained by auhide.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keybert_bulgarian_bg_5.5.1_3.0_1731299301822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keybert_bulgarian_bg_5.5.1_3.0_1731299301822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|keybert_bulgarian|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|bg|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/auhide/keybert-bg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-keybert_bulgarian_pipeline_bg.md b/docs/_posts/ahmedlone127/2024-11-11-keybert_bulgarian_pipeline_bg.md
new file mode 100644
index 00000000000000..9949e29c23a12b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-keybert_bulgarian_pipeline_bg.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Bulgarian keybert_bulgarian_pipeline pipeline BertForTokenClassification from auhide
+author: John Snow Labs
+name: keybert_bulgarian_pipeline
+date: 2024-11-11
+tags: [bg, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: bg
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keybert_bulgarian_pipeline` is a Bulgarian model originally trained by auhide.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keybert_bulgarian_pipeline_bg_5.5.1_3.0_1731299335640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keybert_bulgarian_pipeline_bg_5.5.1_3.0_1731299335640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("keybert_bulgarian_pipeline", lang = "bg")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("keybert_bulgarian_pipeline", lang = "bg")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|keybert_bulgarian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bg|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/auhide/keybert-bg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-kor_naver_ner_name_v2_en.md b/docs/_posts/ahmedlone127/2024-11-11-kor_naver_ner_name_v2_en.md
new file mode 100644
index 00000000000000..40a7461b0e818f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-kor_naver_ner_name_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English kor_naver_ner_name_v2 BertForTokenClassification from joon09
+author: John Snow Labs
+name: kor_naver_ner_name_v2
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kor_naver_ner_name_v2` is a English model originally trained by joon09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_v2_en_5.5.1_3.0_1731291030118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_v2_en_5.5.1_3.0_1731291030118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kor_naver_ner_name_v2|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|441.2 MB|
+
+## References
+
+https://huggingface.co/joon09/kor-naver-ner-name-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-kor_naver_ner_name_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-kor_naver_ner_name_v2_pipeline_en.md
new file mode 100644
index 00000000000000..7d1d6374b024e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-kor_naver_ner_name_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kor_naver_ner_name_v2_pipeline pipeline BertForTokenClassification from joon09
+author: John Snow Labs
+name: kor_naver_ner_name_v2_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kor_naver_ner_name_v2_pipeline` is a English model originally trained by joon09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_v2_pipeline_en_5.5.1_3.0_1731291052670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_v2_pipeline_en_5.5.1_3.0_1731291052670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kor_naver_ner_name_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kor_naver_ner_name_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kor_naver_ner_name_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.3 MB|
+
+## References
+
+https://huggingface.co/joon09/kor-naver-ner-name-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-legal_gqa_7_bert_augmented_all_1000_en.md b/docs/_posts/ahmedlone127/2024-11-11-legal_gqa_7_bert_augmented_all_1000_en.md
new file mode 100644
index 00000000000000..93178bb39d4a64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-legal_gqa_7_bert_augmented_all_1000_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English legal_gqa_7_bert_augmented_all_1000 BertForQuestionAnswering from farid1088
+author: John Snow Labs
+name: legal_gqa_7_bert_augmented_all_1000
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_gqa_7_bert_augmented_all_1000` is a English model originally trained by farid1088.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_gqa_7_bert_augmented_all_1000_en_5.5.1_3.0_1731289218328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_gqa_7_bert_augmented_all_1000_en_5.5.1_3.0_1731289218328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_gqa_7_bert_augmented_all_1000|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/farid1088/Legal_GQA_7_BERT_augmented_all_1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-legal_gqa_7_bert_augmented_all_1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-legal_gqa_7_bert_augmented_all_1000_pipeline_en.md
new file mode 100644
index 00000000000000..9c0b67bc6ada0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-legal_gqa_7_bert_augmented_all_1000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English legal_gqa_7_bert_augmented_all_1000_pipeline pipeline BertForQuestionAnswering from farid1088
+author: John Snow Labs
+name: legal_gqa_7_bert_augmented_all_1000_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_gqa_7_bert_augmented_all_1000_pipeline` is a English model originally trained by farid1088.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_gqa_7_bert_augmented_all_1000_pipeline_en_5.5.1_3.0_1731289252285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_gqa_7_bert_augmented_all_1000_pipeline_en_5.5.1_3.0_1731289252285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legal_gqa_7_bert_augmented_all_1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legal_gqa_7_bert_augmented_all_1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_gqa_7_bert_augmented_all_1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/farid1088/Legal_GQA_7_BERT_augmented_all_1000
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-lettuce_sayula_popoluca_dutch_mono_en.md b/docs/_posts/ahmedlone127/2024-11-11-lettuce_sayula_popoluca_dutch_mono_en.md
new file mode 100644
index 00000000000000..ff6f51c90581f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-lettuce_sayula_popoluca_dutch_mono_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lettuce_sayula_popoluca_dutch_mono RoBertaForTokenClassification from pranaydeeps
+author: John Snow Labs
+name: lettuce_sayula_popoluca_dutch_mono
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lettuce_sayula_popoluca_dutch_mono` is a English model originally trained by pranaydeeps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_mono_en_5.5.1_3.0_1731314245313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_mono_en_5.5.1_3.0_1731314245313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lettuce_sayula_popoluca_dutch_mono|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|436.2 MB|
+
+## References
+
+https://huggingface.co/pranaydeeps/lettuce_pos_nl_mono
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-lettuce_sayula_popoluca_dutch_mono_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-lettuce_sayula_popoluca_dutch_mono_pipeline_en.md
new file mode 100644
index 00000000000000..30c2a8037a1fce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-lettuce_sayula_popoluca_dutch_mono_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lettuce_sayula_popoluca_dutch_mono_pipeline pipeline RoBertaForTokenClassification from pranaydeeps
+author: John Snow Labs
+name: lettuce_sayula_popoluca_dutch_mono_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lettuce_sayula_popoluca_dutch_mono_pipeline` is a English model originally trained by pranaydeeps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_mono_pipeline_en_5.5.1_3.0_1731314271572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_mono_pipeline_en_5.5.1_3.0_1731314271572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lettuce_sayula_popoluca_dutch_mono_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lettuce_sayula_popoluca_dutch_mono_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lettuce_sayula_popoluca_dutch_mono_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.2 MB|
+
+## References
+
+https://huggingface.co/pranaydeeps/lettuce_pos_nl_mono
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_en.md b/docs/_posts/ahmedlone127/2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_en.md
new file mode 100644
index 00000000000000..c49affe661f3d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English linshoufanfork_whisper_small_nan_twi_pinyin WhisperForCTC from linshoufan
+author: John Snow Labs
+name: linshoufanfork_whisper_small_nan_twi_pinyin
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`linshoufanfork_whisper_small_nan_twi_pinyin` is a English model originally trained by linshoufan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/linshoufanfork_whisper_small_nan_twi_pinyin_en_5.5.1_3.0_1731302380184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/linshoufanfork_whisper_small_nan_twi_pinyin_en_5.5.1_3.0_1731302380184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|linshoufanfork_whisper_small_nan_twi_pinyin|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/linshoufan/linshoufanfork-whisper-small-nan-tw-pinyin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_pipeline_en.md
new file mode 100644
index 00000000000000..b2662dfecf5220
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English linshoufanfork_whisper_small_nan_twi_pinyin_pipeline pipeline WhisperForCTC from linshoufan
+author: John Snow Labs
+name: linshoufanfork_whisper_small_nan_twi_pinyin_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`linshoufanfork_whisper_small_nan_twi_pinyin_pipeline` is a English model originally trained by linshoufan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/linshoufanfork_whisper_small_nan_twi_pinyin_pipeline_en_5.5.1_3.0_1731302466551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/linshoufanfork_whisper_small_nan_twi_pinyin_pipeline_en_5.5.1_3.0_1731302466551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("linshoufanfork_whisper_small_nan_twi_pinyin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("linshoufanfork_whisper_small_nan_twi_pinyin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|linshoufanfork_whisper_small_nan_twi_pinyin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/linshoufan/linshoufanfork-whisper-small-nan-tw-pinyin
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-malaysian_whisper_tiny_ms.md b/docs/_posts/ahmedlone127/2024-11-11-malaysian_whisper_tiny_ms.md
new file mode 100644
index 00000000000000..d5635f50e1d8cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-malaysian_whisper_tiny_ms.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Malay (macrolanguage) malaysian_whisper_tiny WhisperForCTC from mesolitica
+author: John Snow Labs
+name: malaysian_whisper_tiny
+date: 2024-11-11
+tags: [ms, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ms
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malaysian_whisper_tiny` is a Malay (macrolanguage) model originally trained by mesolitica.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malaysian_whisper_tiny_ms_5.5.1_3.0_1731305964206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malaysian_whisper_tiny_ms_5.5.1_3.0_1731305964206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_finetuned_mlqa_dev_spanish_chinese_hindi|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/roshnir/mBert-finetuned-mlqa-dev-es-zh-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline_en.md
new file mode 100644
index 00000000000000..092368edd847aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline pipeline BertForQuestionAnswering from roshnir
+author: John Snow Labs
+name: mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline` is a English model originally trained by roshnir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline_en_5.5.1_3.0_1731308096792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline_en_5.5.1_3.0_1731308096792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/roshnir/mBert-finetuned-mlqa-dev-es-zh-hi
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mbert_urdu_en.md b/docs/_posts/ahmedlone127/2024-11-11-mbert_urdu_en.md
new file mode 100644
index 00000000000000..daca24f181aa89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mbert_urdu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mbert_urdu BertForTokenClassification from anwesham
+author: John Snow Labs
+name: mbert_urdu
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_urdu` is a English model originally trained by anwesham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_urdu_en_5.5.1_3.0_1731285721176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_urdu_en_5.5.1_3.0_1731285721176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_urdu|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/anwesham/mbert_ur
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mbert_urdu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-mbert_urdu_pipeline_en.md
new file mode 100644
index 00000000000000..eea33b8a7387db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mbert_urdu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mbert_urdu_pipeline pipeline BertForTokenClassification from anwesham
+author: John Snow Labs
+name: mbert_urdu_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_urdu_pipeline` is a English model originally trained by anwesham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_urdu_pipeline_en_5.5.1_3.0_1731285756767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_urdu_pipeline_en_5.5.1_3.0_1731285756767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbert_urdu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbert_urdu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_urdu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/anwesham/mbert_ur
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-med_drugs_extraction_b_en.md b/docs/_posts/ahmedlone127/2024-11-11-med_drugs_extraction_b_en.md
new file mode 100644
index 00000000000000..a410af14a15ad0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-med_drugs_extraction_b_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English med_drugs_extraction_b BertForQuestionAnswering from iliyararupzhanov
+author: John Snow Labs
+name: med_drugs_extraction_b
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`med_drugs_extraction_b` is a English model originally trained by iliyararupzhanov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/med_drugs_extraction_b_en_5.5.1_3.0_1731289511976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/med_drugs_extraction_b_en_5.5.1_3.0_1731289511976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|med_drugs_extraction_b|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/iliyararupzhanov/med-drugs-extraction-b
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-med_drugs_extraction_b_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-med_drugs_extraction_b_pipeline_en.md
new file mode 100644
index 00000000000000..b213293f6bfc73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-med_drugs_extraction_b_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English med_drugs_extraction_b_pipeline pipeline BertForQuestionAnswering from iliyararupzhanov
+author: John Snow Labs
+name: med_drugs_extraction_b_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`med_drugs_extraction_b_pipeline` is a English model originally trained by iliyararupzhanov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/med_drugs_extraction_b_pipeline_en_5.5.1_3.0_1731289549276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/med_drugs_extraction_b_pipeline_en_5.5.1_3.0_1731289549276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("med_drugs_extraction_b_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("med_drugs_extraction_b_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|med_drugs_extraction_b_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/iliyararupzhanov/med-drugs-extraction-b
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-men_tshirt_en.md b/docs/_posts/ahmedlone127/2024-11-11-men_tshirt_en.md
new file mode 100644
index 00000000000000..a6ed40de416d2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-men_tshirt_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English men_tshirt CLIPForZeroShotClassification from HarshN-0722
+author: John Snow Labs
+name: men_tshirt
+date: 2024-11-11
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`men_tshirt` is a English model originally trained by HarshN-0722.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/men_tshirt_en_5.5.1_3.0_1731287421873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/men_tshirt_en_5.5.1_3.0_1731287421873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("men_tshirt","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("men_tshirt","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|men_tshirt|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|567.3 MB|
+
+## References
+
+https://huggingface.co/HarshN-0722/men-tshirt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-men_tshirt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-men_tshirt_pipeline_en.md
new file mode 100644
index 00000000000000..8962b560cf8538
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-men_tshirt_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English men_tshirt_pipeline pipeline CLIPForZeroShotClassification from HarshN-0722
+author: John Snow Labs
+name: men_tshirt_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`men_tshirt_pipeline` is a English model originally trained by HarshN-0722.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/men_tshirt_pipeline_en_5.5.1_3.0_1731287450972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/men_tshirt_pipeline_en_5.5.1_3.0_1731287450972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("men_tshirt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("men_tshirt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|men_tshirt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|567.3 MB|
+
+## References
+
+https://huggingface.co/HarshN-0722/men-tshirt
+
+## Included Models
+
+- ImageAssembler
+- CLIPForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mi_chatbotv3_en.md b/docs/_posts/ahmedlone127/2024-11-11-mi_chatbotv3_en.md
new file mode 100644
index 00000000000000..18d56dc54176f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mi_chatbotv3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mi_chatbotv3 BertForQuestionAnswering from DanielAvelar09
+author: John Snow Labs
+name: mi_chatbotv3
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mi_chatbotv3` is a English model originally trained by DanielAvelar09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mi_chatbotv3_en_5.5.1_3.0_1731307787887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mi_chatbotv3_en_5.5.1_3.0_1731307787887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mi_chatbotv3|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/DanielAvelar09/mi_chatbotV3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mi_chatbotv3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-mi_chatbotv3_pipeline_en.md
new file mode 100644
index 00000000000000..26d886362fb586
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mi_chatbotv3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mi_chatbotv3_pipeline pipeline BertForQuestionAnswering from DanielAvelar09
+author: John Snow Labs
+name: mi_chatbotv3_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mi_chatbotv3_pipeline` is a English model originally trained by DanielAvelar09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mi_chatbotv3_pipeline_en_5.5.1_3.0_1731307810155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mi_chatbotv3_pipeline_en_5.5.1_3.0_1731307810155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mi_chatbotv3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mi_chatbotv3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mi_chatbotv3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/DanielAvelar09/mi_chatbotV3
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mobilebert_uncased_squad_v2_finetuned_en.md b/docs/_posts/ahmedlone127/2024-11-11-mobilebert_uncased_squad_v2_finetuned_en.md
new file mode 100644
index 00000000000000..4d6769c4aab15c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mobilebert_uncased_squad_v2_finetuned_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mobilebert_uncased_squad_v2_finetuned BertForQuestionAnswering from badokorach
+author: John Snow Labs
+name: mobilebert_uncased_squad_v2_finetuned
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mobilebert_uncased_squad_v2_finetuned` is a English model originally trained by badokorach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_squad_v2_finetuned_en_5.5.1_3.0_1731289026811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_squad_v2_finetuned_en_5.5.1_3.0_1731289026811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_uncased_squad_v2_finetuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/badokorach/mobilebert-uncased-squad-v2-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mobilebert_uncased_squad_v2_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-mobilebert_uncased_squad_v2_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..8508a5a42095a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mobilebert_uncased_squad_v2_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mobilebert_uncased_squad_v2_finetuned_pipeline pipeline BertForQuestionAnswering from badokorach
+author: John Snow Labs
+name: mobilebert_uncased_squad_v2_finetuned_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mobilebert_uncased_squad_v2_finetuned_pipeline` is a English model originally trained by badokorach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_squad_v2_finetuned_pipeline_en_5.5.1_3.0_1731289031710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_squad_v2_finetuned_pipeline_en_5.5.1_3.0_1731289031710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mobilebert_uncased_squad_v2_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mobilebert_uncased_squad_v2_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_uncased_squad_v2_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/badokorach/mobilebert-uncased-squad-v2-finetuned
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mountain_ner_model_en.md b/docs/_posts/ahmedlone127/2024-11-11-mountain_ner_model_en.md
new file mode 100644
index 00000000000000..29d92875ae4cb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mountain_ner_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mountain_ner_model BertForTokenClassification from Shah1st
+author: John Snow Labs
+name: mountain_ner_model
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mountain_ner_model` is a English model originally trained by Shah1st.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mountain_ner_model_en_5.5.1_3.0_1731298624923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mountain_ner_model_en_5.5.1_3.0_1731298624923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mountain_ner_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Shah1st/mountain-ner-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mountain_ner_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-mountain_ner_model_pipeline_en.md
new file mode 100644
index 00000000000000..41894220bbe460
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mountain_ner_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mountain_ner_model_pipeline pipeline BertForTokenClassification from Shah1st
+author: John Snow Labs
+name: mountain_ner_model_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mountain_ner_model_pipeline` is a English model originally trained by Shah1st.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mountain_ner_model_pipeline_en_5.5.1_3.0_1731298688183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mountain_ner_model_pipeline_en_5.5.1_3.0_1731298688183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mountain_ner_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mountain_ner_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mountain_ner_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Shah1st/mountain-ner-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mountain_recognition_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-mountain_recognition_ner_en.md
new file mode 100644
index 00000000000000..acfcc435fb47a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mountain_recognition_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mountain_recognition_ner BertForTokenClassification from dieumerci
+author: John Snow Labs
+name: mountain_recognition_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mountain_recognition_ner` is a English model originally trained by dieumerci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mountain_recognition_ner_en_5.5.1_3.0_1731290821656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mountain_recognition_ner_en_5.5.1_3.0_1731290821656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mountain_recognition_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/dieumerci/mountain-recognition-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mountain_recognition_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-mountain_recognition_ner_pipeline_en.md
new file mode 100644
index 00000000000000..3ead37a9c09f49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mountain_recognition_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mountain_recognition_ner_pipeline pipeline BertForTokenClassification from dieumerci
+author: John Snow Labs
+name: mountain_recognition_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mountain_recognition_ner_pipeline` is a English model originally trained by dieumerci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mountain_recognition_ner_pipeline_en_5.5.1_3.0_1731290884462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mountain_recognition_ner_pipeline_en_5.5.1_3.0_1731290884462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mountain_recognition_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mountain_recognition_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mountain_recognition_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/dieumerci/mountain-recognition-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mpnet_base_all_pittsburgh_squad_en.md b/docs/_posts/ahmedlone127/2024-11-11-mpnet_base_all_pittsburgh_squad_en.md
new file mode 100644
index 00000000000000..4e012e211c5f49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mpnet_base_all_pittsburgh_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mpnet_base_all_pittsburgh_squad MPNetEmbeddings from lizchu414
+author: John Snow Labs
+name: mpnet_base_all_pittsburgh_squad
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mpnet_base_all_pittsburgh_squad` is a English model originally trained by lizchu414.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_base_all_pittsburgh_squad_en_5.5.1_3.0_1731295097151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_base_all_pittsburgh_squad_en_5.5.1_3.0_1731295097151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_base_all_pittsburgh_squad|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/lizchu414/mpnet-base-all-pittsburgh-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-mpnet_base_all_pittsburgh_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-mpnet_base_all_pittsburgh_squad_pipeline_en.md
new file mode 100644
index 00000000000000..98d7deca55b9c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-mpnet_base_all_pittsburgh_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mpnet_base_all_pittsburgh_squad_pipeline pipeline MPNetEmbeddings from lizchu414
+author: John Snow Labs
+name: mpnet_base_all_pittsburgh_squad_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mpnet_base_all_pittsburgh_squad_pipeline` is a English model originally trained by lizchu414.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_base_all_pittsburgh_squad_pipeline_en_5.5.1_3.0_1731295123391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_base_all_pittsburgh_squad_pipeline_en_5.5.1_3.0_1731295123391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mpnet_base_all_pittsburgh_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mpnet_base_all_pittsburgh_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_base_all_pittsburgh_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/lizchu414/mpnet-base-all-pittsburgh-squad
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-msu_wiki_ner_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-11-11-msu_wiki_ner_pipeline_ru.md
new file mode 100644
index 00000000000000..052a34fd1292cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-msu_wiki_ner_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian msu_wiki_ner_pipeline pipeline BertForTokenClassification from nesemenpolkov
+author: John Snow Labs
+name: msu_wiki_ner_pipeline
+date: 2024-11-11
+tags: [ru, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: ru
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`msu_wiki_ner_pipeline` is a Russian model originally trained by nesemenpolkov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/msu_wiki_ner_pipeline_ru_5.5.1_3.0_1731298735156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/msu_wiki_ner_pipeline_ru_5.5.1_3.0_1731298735156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("msu_wiki_ner_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("msu_wiki_ner_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|msu_wiki_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/nesemenpolkov/msu-wiki-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-msu_wiki_ner_ru.md b/docs/_posts/ahmedlone127/2024-11-11-msu_wiki_ner_ru.md
new file mode 100644
index 00000000000000..f9978264c43363
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-msu_wiki_ner_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian msu_wiki_ner BertForTokenClassification from nesemenpolkov
+author: John Snow Labs
+name: msu_wiki_ner
+date: 2024-11-11
+tags: [ru, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: ru
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`msu_wiki_ner` is a Russian model originally trained by nesemenpolkov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/msu_wiki_ner_ru_5.5.1_3.0_1731298695259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/msu_wiki_ner_ru_5.5.1_3.0_1731298695259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|msu_wiki_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|ru|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/nesemenpolkov/msu-wiki-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nasa_smd_ibm_v0_1_uat_labeler_en.md b/docs/_posts/ahmedlone127/2024-11-11-nasa_smd_ibm_v0_1_uat_labeler_en.md
new file mode 100644
index 00000000000000..bb7386e46fce77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nasa_smd_ibm_v0_1_uat_labeler_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nasa_smd_ibm_v0_1_uat_labeler RoBertaForTokenClassification from adsabs
+author: John Snow Labs
+name: nasa_smd_ibm_v0_1_uat_labeler
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nasa_smd_ibm_v0_1_uat_labeler` is a English model originally trained by adsabs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nasa_smd_ibm_v0_1_uat_labeler_en_5.5.1_3.0_1731310993704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nasa_smd_ibm_v0_1_uat_labeler_en_5.5.1_3.0_1731310993704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nasa_smd_ibm_v0_1_uat_labeler|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|472.8 MB|
+
+## References
+
+https://huggingface.co/adsabs/nasa-smd-ibm-v0.1_UAT_Labeler
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nasa_smd_ibm_v0_1_uat_labeler_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-nasa_smd_ibm_v0_1_uat_labeler_pipeline_en.md
new file mode 100644
index 00000000000000..1d21f37f04d8ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nasa_smd_ibm_v0_1_uat_labeler_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nasa_smd_ibm_v0_1_uat_labeler_pipeline pipeline RoBertaForTokenClassification from adsabs
+author: John Snow Labs
+name: nasa_smd_ibm_v0_1_uat_labeler_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nasa_smd_ibm_v0_1_uat_labeler_pipeline` is a English model originally trained by adsabs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nasa_smd_ibm_v0_1_uat_labeler_pipeline_en_5.5.1_3.0_1731311018084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nasa_smd_ibm_v0_1_uat_labeler_pipeline_en_5.5.1_3.0_1731311018084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nasa_smd_ibm_v0_1_uat_labeler_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nasa_smd_ibm_v0_1_uat_labeler_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nasa_smd_ibm_v0_1_uat_labeler_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|472.8 MB|
+
+## References
+
+https://huggingface.co/adsabs/nasa-smd-ibm-v0.1_UAT_Labeler
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nees_bert_base_portuguese_cased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-nees_bert_base_portuguese_cased_finetuned_ner_en.md
new file mode 100644
index 00000000000000..23812f06211044
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nees_bert_base_portuguese_cased_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nees_bert_base_portuguese_cased_finetuned_ner BertForTokenClassification from yuridrcosta
+author: John Snow Labs
+name: nees_bert_base_portuguese_cased_finetuned_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nees_bert_base_portuguese_cased_finetuned_ner` is a English model originally trained by yuridrcosta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nees_bert_base_portuguese_cased_finetuned_ner_en_5.5.1_3.0_1731290402339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nees_bert_base_portuguese_cased_finetuned_ner_en_5.5.1_3.0_1731290402339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nees_bert_base_portuguese_cased_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nees_bert_base_portuguese_cased_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-nees_bert_base_portuguese_cased_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..62bd04fcc78147
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nees_bert_base_portuguese_cased_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nees_bert_base_portuguese_cased_finetuned_ner_pipeline pipeline BertForTokenClassification from yuridrcosta
+author: John Snow Labs
+name: nees_bert_base_portuguese_cased_finetuned_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nees_bert_base_portuguese_cased_finetuned_ner_pipeline` is a English model originally trained by yuridrcosta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nees_bert_base_portuguese_cased_finetuned_ner_pipeline_en_5.5.1_3.0_1731290424071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nees_bert_base_portuguese_cased_finetuned_ner_pipeline_en_5.5.1_3.0_1731290424071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nees_bert_base_portuguese_cased_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nees_bert_base_portuguese_cased_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nees_bert_base_portuguese_cased_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nepal_bhasa_biored_model_en.md b/docs/_posts/ahmedlone127/2024-11-11-nepal_bhasa_biored_model_en.md
new file mode 100644
index 00000000000000..7b17b75e6b2a00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nepal_bhasa_biored_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nepal_bhasa_biored_model BertForTokenClassification from c-x-he
+author: John Snow Labs
+name: nepal_bhasa_biored_model
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_biored_model` is a English model originally trained by c-x-he.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_biored_model_en_5.5.1_3.0_1731299083922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_biored_model_en_5.5.1_3.0_1731299083922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_biored_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/c-x-he/New_BioRED_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nepal_bhasa_biored_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-nepal_bhasa_biored_model_pipeline_en.md
new file mode 100644
index 00000000000000..1e9e12dce5f0ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nepal_bhasa_biored_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nepal_bhasa_biored_model_pipeline pipeline BertForTokenClassification from c-x-he
+author: John Snow Labs
+name: nepal_bhasa_biored_model_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_biored_model_pipeline` is a English model originally trained by c-x-he.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_biored_model_pipeline_en_5.5.1_3.0_1731299109074.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_biored_model_pipeline_en_5.5.1_3.0_1731299109074.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nepal_bhasa_biored_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nepal_bhasa_biored_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_biored_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/c-x-he/New_BioRED_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_en.md
new file mode 100644
index 00000000000000..ca901d075e86d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_finetuning_beto BertForTokenClassification from raulgdp
+author: John Snow Labs
+name: ner_finetuning_beto
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_finetuning_beto` is a English model originally trained by raulgdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_en_5.5.1_3.0_1731290423097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_en_5.5.1_3.0_1731290423097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_finetuning_beto|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/raulgdp/NER-finetuning-BETO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pipeline_en.md
new file mode 100644
index 00000000000000..aca24b66ba6ff9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_finetuning_beto_pipeline pipeline BertForTokenClassification from raulgdp
+author: John Snow Labs
+name: ner_finetuning_beto_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_finetuning_beto_pipeline` is a English model originally trained by raulgdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_pipeline_en_5.5.1_3.0_1731290448484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_pipeline_en_5.5.1_3.0_1731290448484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_finetuning_beto_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_finetuning_beto_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_finetuning_beto_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/raulgdp/NER-finetuning-BETO
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pro_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pro_en.md
new file mode 100644
index 00000000000000..f227572b453a38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pro_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_finetuning_beto_pro BertForTokenClassification from raulgdp
+author: John Snow Labs
+name: ner_finetuning_beto_pro
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_finetuning_beto_pro` is a English model originally trained by raulgdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_pro_en_5.5.1_3.0_1731290926725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_pro_en_5.5.1_3.0_1731290926725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_finetuning_beto_pro|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/raulgdp/NER-finetuning-BETO-PRO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pro_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pro_pipeline_en.md
new file mode 100644
index 00000000000000..86b6c7d149b34b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_finetuning_beto_pro_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_finetuning_beto_pro_pipeline pipeline BertForTokenClassification from raulgdp
+author: John Snow Labs
+name: ner_finetuning_beto_pro_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_finetuning_beto_pro_pipeline` is a English model originally trained by raulgdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_pro_pipeline_en_5.5.1_3.0_1731290947906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_finetuning_beto_pro_pipeline_en_5.5.1_3.0_1731290947906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_finetuning_beto_pro_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_finetuning_beto_pro_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_finetuning_beto_pro_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/raulgdp/NER-finetuning-BETO-PRO
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_model_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_model_en.md
new file mode 100644
index 00000000000000..184b8ed0fb9ff0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_model BertForTokenClassification from MichaelSargious
+author: John Snow Labs
+name: ner_model
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_model` is a English model originally trained by MichaelSargious.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_model_en_5.5.1_3.0_1731290717439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_model_en_5.5.1_3.0_1731290717439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/MichaelSargious/ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_model_pipeline_en.md
new file mode 100644
index 00000000000000..a38e0bd1042ce6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_model_pipeline pipeline BertForTokenClassification from MichaelSargious
+author: John Snow Labs
+name: ner_model_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_model_pipeline` is a English model originally trained by MichaelSargious.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_model_pipeline_en_5.5.1_3.0_1731290752686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_model_pipeline_en_5.5.1_3.0_1731290752686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/MichaelSargious/ner_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_tokenclassification_persian_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_tokenclassification_persian_en.md
new file mode 100644
index 00000000000000..de9e6d9f0963be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_tokenclassification_persian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_tokenclassification_persian BertForTokenClassification from AidAFadaeian
+author: John Snow Labs
+name: ner_tokenclassification_persian
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_tokenclassification_persian` is a English model originally trained by AidAFadaeian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_tokenclassification_persian_en_5.5.1_3.0_1731298967003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_tokenclassification_persian_en_5.5.1_3.0_1731298967003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_tokenclassification_persian|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|606.6 MB|
+
+## References
+
+https://huggingface.co/AidAFadaeian/NER_tokenclassification_persian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_tokenclassification_persian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-ner_tokenclassification_persian_pipeline_en.md
new file mode 100644
index 00000000000000..6eaca66cadd93a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_tokenclassification_persian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_tokenclassification_persian_pipeline pipeline BertForTokenClassification from AidAFadaeian
+author: John Snow Labs
+name: ner_tokenclassification_persian_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_tokenclassification_persian_pipeline` is a English model originally trained by AidAFadaeian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_tokenclassification_persian_pipeline_en_5.5.1_3.0_1731298999068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_tokenclassification_persian_pipeline_en_5.5.1_3.0_1731298999068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_tokenclassification_persian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_tokenclassification_persian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_tokenclassification_persian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|606.6 MB|
+
+## References
+
+https://huggingface.co/AidAFadaeian/NER_tokenclassification_persian
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_xlmr_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-11-11-ner_xlmr_pipeline_xx.md
new file mode 100644
index 00000000000000..b8f08c1fba4434
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_xlmr_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual ner_xlmr_pipeline pipeline XlmRoBertaForTokenClassification from programmersilvanus
+author: John Snow Labs
+name: ner_xlmr_pipeline
+date: 2024-11-11
+tags: [xx, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_xlmr_pipeline` is a Multilingual model originally trained by programmersilvanus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_xlmr_pipeline_xx_5.5.1_3.0_1731293483443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_xlmr_pipeline_xx_5.5.1_3.0_1731293483443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_xlmr_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_xlmr_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_xlmr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|832.6 MB|
+
+## References
+
+https://huggingface.co/programmersilvanus/ner-xlmr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ner_xlmr_xx.md b/docs/_posts/ahmedlone127/2024-11-11-ner_xlmr_xx.md
new file mode 100644
index 00000000000000..2f8c9718aa9e4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ner_xlmr_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual ner_xlmr XlmRoBertaForTokenClassification from programmersilvanus
+author: John Snow Labs
+name: ner_xlmr
+date: 2024-11-11
+tags: [xx, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_xlmr` is a Multilingual model originally trained by programmersilvanus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_xlmr_xx_5.5.1_3.0_1731293392020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_xlmr_xx_5.5.1_3.0_1731293392020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_xlmr|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|832.6 MB|
+
+## References
+
+https://huggingface.co/programmersilvanus/ner-xlmr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nerugm_base_3_id.md b/docs/_posts/ahmedlone127/2024-11-11-nerugm_base_3_id.md
new file mode 100644
index 00000000000000..24b935db19a2b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nerugm_base_3_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian nerugm_base_3 BertForTokenClassification from apwic
+author: John Snow Labs
+name: nerugm_base_3
+date: 2024-11-11
+tags: [id, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerugm_base_3` is a Indonesian model originally trained by apwic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerugm_base_3_id_5.5.1_3.0_1731285227978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerugm_base_3_id_5.5.1_3.0_1731285227978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerugm_base_3|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|id|
+|Size:|411.8 MB|
+
+## References
+
+https://huggingface.co/apwic/nerugm-base-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nerugm_base_3_pipeline_id.md b/docs/_posts/ahmedlone127/2024-11-11-nerugm_base_3_pipeline_id.md
new file mode 100644
index 00000000000000..be21a734240864
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nerugm_base_3_pipeline_id.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Indonesian nerugm_base_3_pipeline pipeline BertForTokenClassification from apwic
+author: John Snow Labs
+name: nerugm_base_3_pipeline
+date: 2024-11-11
+tags: [id, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerugm_base_3_pipeline` is a Indonesian model originally trained by apwic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerugm_base_3_pipeline_id_5.5.1_3.0_1731285257868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerugm_base_3_pipeline_id_5.5.1_3.0_1731285257868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerugm_base_3_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerugm_base_3_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerugm_base_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|411.8 MB|
+
+## References
+
+https://huggingface.co/apwic/nerugm-base-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nlp_tutorial_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-nlp_tutorial_ner_en.md
new file mode 100644
index 00000000000000..273a281d2141fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nlp_tutorial_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_tutorial_ner BertForTokenClassification from Conan-Lao
+author: John Snow Labs
+name: nlp_tutorial_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_tutorial_ner` is a English model originally trained by Conan-Lao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_tutorial_ner_en_5.5.1_3.0_1731290341170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_tutorial_ner_en_5.5.1_3.0_1731290341170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_tutorial_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Conan-Lao/nlp_tutorial_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nlp_tutorial_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-nlp_tutorial_ner_pipeline_en.md
new file mode 100644
index 00000000000000..f5fdf808a7e70c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nlp_tutorial_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_tutorial_ner_pipeline pipeline BertForTokenClassification from Conan-Lao
+author: John Snow Labs
+name: nlp_tutorial_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_tutorial_ner_pipeline` is a English model originally trained by Conan-Lao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_tutorial_ner_pipeline_en_5.5.1_3.0_1731290362432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_tutorial_ner_pipeline_en_5.5.1_3.0_1731290362432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_tutorial_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_tutorial_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_tutorial_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Conan-Lao/nlp_tutorial_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_en.md b/docs/_posts/ahmedlone127/2024-11-11-norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_en.md
new file mode 100644
index 00000000000000..3a0a51b8d3fd9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp BertForQuestionAnswering from eanderson
+author: John Snow Labs
+name: norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp` is a English model originally trained by eanderson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_en_5.5.1_3.0_1731289481925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_en_5.5.1_3.0_1731289481925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|666.2 MB|
+
+## References
+
+https://huggingface.co/eanderson/nb-bert-base-qa-squad-nb_v2_temp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline_en.md
new file mode 100644
index 00000000000000..5c6816c1f92b65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline pipeline BertForQuestionAnswering from eanderson
+author: John Snow Labs
+name: norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline` is a English model originally trained by eanderson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline_en_5.5.1_3.0_1731289516281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline_en_5.5.1_3.0_1731289516281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norwegian_bokml_bert_base_qa_squad_norwegian_bokml_v2_temp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|666.2 MB|
+
+## References
+
+https://huggingface.co/eanderson/nb-bert-base-qa-squad-nb_v2_temp
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nusabert_base_posp_en.md b/docs/_posts/ahmedlone127/2024-11-11-nusabert_base_posp_en.md
new file mode 100644
index 00000000000000..ffab257ec4f50b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nusabert_base_posp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nusabert_base_posp BertForTokenClassification from LazarusNLP
+author: John Snow Labs
+name: nusabert_base_posp
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nusabert_base_posp` is a English model originally trained by LazarusNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nusabert_base_posp_en_5.5.1_3.0_1731285880660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nusabert_base_posp_en_5.5.1_3.0_1731285880660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nusabert_base_posp|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/LazarusNLP/NusaBERT-base-POSP
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-nusabert_base_posp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-nusabert_base_posp_pipeline_en.md
new file mode 100644
index 00000000000000..138b88f6fe0d26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-nusabert_base_posp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nusabert_base_posp_pipeline pipeline BertForTokenClassification from LazarusNLP
+author: John Snow Labs
+name: nusabert_base_posp_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nusabert_base_posp_pipeline` is a English model originally trained by LazarusNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nusabert_base_posp_pipeline_en_5.5.1_3.0_1731285902489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nusabert_base_posp_pipeline_en_5.5.1_3.0_1731285902489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nusabert_base_posp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nusabert_base_posp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nusabert_base_posp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/LazarusNLP/NusaBERT-base-POSP
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-persian_text_ner_bert_v1_fa.md b/docs/_posts/ahmedlone127/2024-11-11-persian_text_ner_bert_v1_fa.md
new file mode 100644
index 00000000000000..32d1574f8c3718
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-persian_text_ner_bert_v1_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian persian_text_ner_bert_v1 BertForTokenClassification from SeyedAli
+author: John Snow Labs
+name: persian_text_ner_bert_v1
+date: 2024-11-11
+tags: [fa, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`persian_text_ner_bert_v1` is a Persian model originally trained by SeyedAli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/persian_text_ner_bert_v1_fa_5.5.1_3.0_1731299048875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/persian_text_ner_bert_v1_fa_5.5.1_3.0_1731299048875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|persian_text_ner_bert_v1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|fa|
+|Size:|606.6 MB|
+
+## References
+
+https://huggingface.co/SeyedAli/Persian-Text-NER-Bert-V1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-persian_text_ner_bert_v1_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-11-11-persian_text_ner_bert_v1_pipeline_fa.md
new file mode 100644
index 00000000000000..06ba601147d270
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-persian_text_ner_bert_v1_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian persian_text_ner_bert_v1_pipeline pipeline BertForTokenClassification from SeyedAli
+author: John Snow Labs
+name: persian_text_ner_bert_v1_pipeline
+date: 2024-11-11
+tags: [fa, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`persian_text_ner_bert_v1_pipeline` is a Persian model originally trained by SeyedAli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/persian_text_ner_bert_v1_pipeline_fa_5.5.1_3.0_1731299082120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/persian_text_ner_bert_v1_pipeline_fa_5.5.1_3.0_1731299082120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("persian_text_ner_bert_v1_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("persian_text_ner_bert_v1_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|persian_text_ner_bert_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|606.6 MB|
+
+## References
+
+https://huggingface.co/SeyedAli/Persian-Text-NER-Bert-V1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-personalinfoclassifier_en.md b/docs/_posts/ahmedlone127/2024-11-11-personalinfoclassifier_en.md
new file mode 100644
index 00000000000000..e739f4b8c1dc41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-personalinfoclassifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English personalinfoclassifier BertForSequenceClassification from MrAB01
+author: John Snow Labs
+name: personalinfoclassifier
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`personalinfoclassifier` is a English model originally trained by MrAB01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/personalinfoclassifier_en_5.5.1_3.0_1731309188691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/personalinfoclassifier_en_5.5.1_3.0_1731309188691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personalinfoclassifier|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/MrAB01/PersonalInfoClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-personalinfoclassifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-personalinfoclassifier_pipeline_en.md
new file mode 100644
index 00000000000000..099794319e615b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-personalinfoclassifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English personalinfoclassifier_pipeline pipeline BertForSequenceClassification from MrAB01
+author: John Snow Labs
+name: personalinfoclassifier_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`personalinfoclassifier_pipeline` is a English model originally trained by MrAB01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/personalinfoclassifier_pipeline_en_5.5.1_3.0_1731309210318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/personalinfoclassifier_pipeline_en_5.5.1_3.0_1731309210318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("personalinfoclassifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("personalinfoclassifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personalinfoclassifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/MrAB01/PersonalInfoClassifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-politeness_model_en.md b/docs/_posts/ahmedlone127/2024-11-11-politeness_model_en.md
new file mode 100644
index 00000000000000..54b7e18676d712
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-politeness_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English politeness_model BertForSequenceClassification from gljj
+author: John Snow Labs
+name: politeness_model
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`politeness_model` is a English model originally trained by gljj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politeness_model_en_5.5.1_3.0_1731310062293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politeness_model_en_5.5.1_3.0_1731310062293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politeness_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/gljj/politeness-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-politeness_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-politeness_model_pipeline_en.md
new file mode 100644
index 00000000000000..ae45b23ba3f142
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-politeness_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English politeness_model_pipeline pipeline BertForSequenceClassification from gljj
+author: John Snow Labs
+name: politeness_model_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`politeness_model_pipeline` is a English model originally trained by gljj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politeness_model_pipeline_en_5.5.1_3.0_1731310084610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politeness_model_pipeline_en_5.5.1_3.0_1731310084610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("politeness_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("politeness_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politeness_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/gljj/politeness-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-popbert_de.md b/docs/_posts/ahmedlone127/2024-11-11-popbert_de.md
new file mode 100644
index 00000000000000..67f9fa00c1f2f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-popbert_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German popbert BertForSequenceClassification from luerhard
+author: John Snow Labs
+name: popbert
+date: 2024-11-11
+tags: [de, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: de
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`popbert` is a German model originally trained by luerhard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/popbert_de_5.5.1_3.0_1731309940376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/popbert_de_5.5.1_3.0_1731309940376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|popbert|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/luerhard/PopBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-popbert_pipeline_de.md b/docs/_posts/ahmedlone127/2024-11-11-popbert_pipeline_de.md
new file mode 100644
index 00000000000000..7e5575a55024d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-popbert_pipeline_de.md
@@ -0,0 +1,72 @@
+---
+layout: model
+title: German popbert_pipeline pipeline BertForSequenceClassification from luerhard
+author: John Snow Labs
+name: popbert_pipeline
+date: 2024-11-11
+tags: [de, open_source, pipeline, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`popbert_pipeline` is a German model originally trained by luerhard.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/popbert_pipeline_de_5.5.1_3.0_1731310008414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/popbert_pipeline_de_5.5.1_3.0_1731310008414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+pipeline = PretrainedPipeline("popbert_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+```
+```scala
+val pipeline = new PretrainedPipeline("popbert_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|popbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|1.3 GB|
+
+## References
+
+References
+
+https://huggingface.co/luerhard/PopBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-pretrain_finetuned_v2_en.md b/docs/_posts/ahmedlone127/2024-11-11-pretrain_finetuned_v2_en.md
new file mode 100644
index 00000000000000..3db9d5e6492766
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-pretrain_finetuned_v2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English pretrain_finetuned_v2 BertForQuestionAnswering from marinaibr
+author: John Snow Labs
+name: pretrain_finetuned_v2
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pretrain_finetuned_v2` is a English model originally trained by marinaibr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pretrain_finetuned_v2_en_5.5.1_3.0_1731289827138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pretrain_finetuned_v2_en_5.5.1_3.0_1731289827138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pretrain_finetuned_v2|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/marinaibr/pretrain-finetuned-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-pretrain_finetuned_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-pretrain_finetuned_v2_pipeline_en.md
new file mode 100644
index 00000000000000..ea7a8596f7dd96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-pretrain_finetuned_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English pretrain_finetuned_v2_pipeline pipeline BertForQuestionAnswering from marinaibr
+author: John Snow Labs
+name: pretrain_finetuned_v2_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pretrain_finetuned_v2_pipeline` is a English model originally trained by marinaibr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pretrain_finetuned_v2_pipeline_en_5.5.1_3.0_1731289848049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pretrain_finetuned_v2_pipeline_en_5.5.1_3.0_1731289848049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pretrain_finetuned_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pretrain_finetuned_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pretrain_finetuned_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/marinaibr/pretrain-finetuned-v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-procedure_tool_matching_10_epochs_en.md b/docs/_posts/ahmedlone127/2024-11-11-procedure_tool_matching_10_epochs_en.md
new file mode 100644
index 00000000000000..ae7a586b6d8401
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-procedure_tool_matching_10_epochs_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English procedure_tool_matching_10_epochs MPNetEmbeddings from brilan
+author: John Snow Labs
+name: procedure_tool_matching_10_epochs
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`procedure_tool_matching_10_epochs` is a English model originally trained by brilan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/procedure_tool_matching_10_epochs_en_5.5.1_3.0_1731294702325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/procedure_tool_matching_10_epochs_en_5.5.1_3.0_1731294702325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|procedure_tool_matching_10_epochs|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/brilan/procedure-tool-matching_10_epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-procedure_tool_matching_10_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-procedure_tool_matching_10_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..cd0aabc0210a34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-procedure_tool_matching_10_epochs_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English procedure_tool_matching_10_epochs_pipeline pipeline MPNetEmbeddings from brilan
+author: John Snow Labs
+name: procedure_tool_matching_10_epochs_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`procedure_tool_matching_10_epochs_pipeline` is a English model originally trained by brilan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/procedure_tool_matching_10_epochs_pipeline_en_5.5.1_3.0_1731294728804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/procedure_tool_matching_10_epochs_pipeline_en_5.5.1_3.0_1731294728804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("procedure_tool_matching_10_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("procedure_tool_matching_10_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|procedure_tool_matching_10_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/brilan/procedure-tool-matching_10_epochs
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-product_model_en.md b/docs/_posts/ahmedlone127/2024-11-11-product_model_en.md
new file mode 100644
index 00000000000000..01ff8c7b0b9f05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-product_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English product_model MPNetEmbeddings from alpcansoydas
+author: John Snow Labs
+name: product_model
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`product_model` is a English model originally trained by alpcansoydas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_model_en_5.5.1_3.0_1731295066547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_model_en_5.5.1_3.0_1731295066547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|product_model|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/alpcansoydas/product-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-product_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-product_model_pipeline_en.md
new file mode 100644
index 00000000000000..5509af1db40ee6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-product_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English product_model_pipeline pipeline MPNetEmbeddings from alpcansoydas
+author: John Snow Labs
+name: product_model_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`product_model_pipeline` is a English model originally trained by alpcansoydas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_model_pipeline_en_5.5.1_3.0_1731295088962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_model_pipeline_en_5.5.1_3.0_1731295088962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("product_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("product_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|product_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/alpcansoydas/product-model
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-product_recognize_en.md b/docs/_posts/ahmedlone127/2024-11-11-product_recognize_en.md
new file mode 100644
index 00000000000000..c911f6eae3a7a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-product_recognize_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English product_recognize BertForTokenClassification from HentDios
+author: John Snow Labs
+name: product_recognize
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`product_recognize` is a English model originally trained by HentDios.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_recognize_en_5.5.1_3.0_1731285314999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_recognize_en_5.5.1_3.0_1731285314999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|product_recognize|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/HentDios/product-recognize
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-product_recognize_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-product_recognize_pipeline_en.md
new file mode 100644
index 00000000000000..b3c35a440d49d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-product_recognize_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English product_recognize_pipeline pipeline BertForTokenClassification from HentDios
+author: John Snow Labs
+name: product_recognize_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`product_recognize_pipeline` is a English model originally trained by HentDios.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_recognize_pipeline_en_5.5.1_3.0_1731285338977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_recognize_pipeline_en_5.5.1_3.0_1731285338977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("product_recognize_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("product_recognize_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|product_recognize_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/HentDios/product-recognize
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-propaganda_ner_arabic_ar.md b/docs/_posts/ahmedlone127/2024-11-11-propaganda_ner_arabic_ar.md
new file mode 100644
index 00000000000000..5c205e9c4b4111
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-propaganda_ner_arabic_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic propaganda_ner_arabic BertForTokenClassification from ashrafulparan
+author: John Snow Labs
+name: propaganda_ner_arabic
+date: 2024-11-11
+tags: [ar, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: ar
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`propaganda_ner_arabic` is a Arabic model originally trained by ashrafulparan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/propaganda_ner_arabic_ar_5.5.1_3.0_1731290522918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/propaganda_ner_arabic_ar_5.5.1_3.0_1731290522918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/jialinselenasong/pubmedbert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-pubmedbert_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-pubmedbert_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..9b2030be9980a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-pubmedbert_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pubmedbert_finetuned_ner_pipeline pipeline BertForTokenClassification from jialinselenasong
+author: John Snow Labs
+name: pubmedbert_finetuned_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubmedbert_finetuned_ner_pipeline` is a English model originally trained by jialinselenasong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmedbert_finetuned_ner_pipeline_en_5.5.1_3.0_1731290786027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmedbert_finetuned_ner_pipeline_en_5.5.1_3.0_1731290786027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pubmedbert_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pubmedbert_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/jialinselenasong/pubmedbert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-qa_model_balchid_en.md b/docs/_posts/ahmedlone127/2024-11-11-qa_model_balchid_en.md
new file mode 100644
index 00000000000000..33ca00f12234a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-qa_model_balchid_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English qa_model_balchid BertForQuestionAnswering from balchid
+author: John Snow Labs
+name: qa_model_balchid
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_model_balchid` is a English model originally trained by balchid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_model_balchid_en_5.5.1_3.0_1731289028794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_model_balchid_en_5.5.1_3.0_1731289028794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_balchid|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/balchid/qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-qa_model_balchid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-qa_model_balchid_pipeline_en.md
new file mode 100644
index 00000000000000..5159bb9652d99d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-qa_model_balchid_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_model_balchid_pipeline pipeline BertForQuestionAnswering from balchid
+author: John Snow Labs
+name: qa_model_balchid_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_model_balchid_pipeline` is a English model originally trained by balchid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_model_balchid_pipeline_en_5.5.1_3.0_1731289051251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_model_balchid_pipeline_en_5.5.1_3.0_1731289051251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_model_balchid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_model_balchid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_balchid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/balchid/qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-quote_model_bertm_v1_en.md b/docs/_posts/ahmedlone127/2024-11-11-quote_model_bertm_v1_en.md
new file mode 100644
index 00000000000000..a7d99077559c50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-quote_model_bertm_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English quote_model_bertm_v1 BertForTokenClassification from Iceland
+author: John Snow Labs
+name: quote_model_bertm_v1
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quote_model_bertm_v1` is a English model originally trained by Iceland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quote_model_bertm_v1_en_5.5.1_3.0_1731298749377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quote_model_bertm_v1_en_5.5.1_3.0_1731298749377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quote_model_bertm_v1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Iceland/quote-model-BERTm-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-quote_model_bertm_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-quote_model_bertm_v1_pipeline_en.md
new file mode 100644
index 00000000000000..eeff29fc89a209
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-quote_model_bertm_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English quote_model_bertm_v1_pipeline pipeline BertForTokenClassification from Iceland
+author: John Snow Labs
+name: quote_model_bertm_v1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quote_model_bertm_v1_pipeline` is a English model originally trained by Iceland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quote_model_bertm_v1_pipeline_en_5.5.1_3.0_1731298784216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quote_model_bertm_v1_pipeline_en_5.5.1_3.0_1731298784216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("quote_model_bertm_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("quote_model_bertm_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quote_model_bertm_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Iceland/quote-model-BERTm-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-results_en.md b/docs/_posts/ahmedlone127/2024-11-11-results_en.md
new file mode 100644
index 00000000000000..a13d5742fcd173
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-results_en.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: English results DistilBertForQuestionAnswering from Souvik123
+author: John Snow Labs
+name: results
+date: 2024-11-11
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results` is a English model originally trained by Souvik123.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_en_5.5.1_3.0_1731301209851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_en_5.5.1_3.0_1731301209851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_absa_ate_sentiment|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|451.2 MB|
+
+## References
+
+https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_base_absa_ate_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_absa_ate_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..80bc7b25f26e26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_absa_ate_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_absa_ate_sentiment_pipeline pipeline RoBertaForTokenClassification from gauneg
+author: John Snow Labs
+name: roberta_base_absa_ate_sentiment_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_absa_ate_sentiment_pipeline` is a English model originally trained by gauneg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_absa_ate_sentiment_pipeline_en_5.5.1_3.0_1731314099373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_absa_ate_sentiment_pipeline_en_5.5.1_3.0_1731314099373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_absa_ate_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_absa_ate_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_absa_ate_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|451.2 MB|
+
+## References
+
+https://huggingface.co/gauneg/roberta-base-absa-ate-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_base_ainu_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_ainu_sayula_popoluca_en.md
new file mode 100644
index 00000000000000..17557ced9a6887
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_ainu_sayula_popoluca_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_ainu_sayula_popoluca RoBertaForTokenClassification from aynumosir
+author: John Snow Labs
+name: roberta_base_ainu_sayula_popoluca
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ainu_sayula_popoluca` is a English model originally trained by aynumosir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ainu_sayula_popoluca_en_5.5.1_3.0_1731311703241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ainu_sayula_popoluca_en_5.5.1_3.0_1731311703241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ainu_sayula_popoluca|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|465.1 MB|
+
+## References
+
+https://huggingface.co/aynumosir/roberta-base-ainu-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_base_ainu_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_ainu_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..5efb43e0ba2dbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_ainu_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_ainu_sayula_popoluca_pipeline pipeline RoBertaForTokenClassification from aynumosir
+author: John Snow Labs
+name: roberta_base_ainu_sayula_popoluca_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ainu_sayula_popoluca_pipeline` is a English model originally trained by aynumosir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ainu_sayula_popoluca_pipeline_en_5.5.1_3.0_1731311731304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ainu_sayula_popoluca_pipeline_en_5.5.1_3.0_1731311731304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_ainu_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ainu_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ainu_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/aynumosir/roberta-base-ainu-pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_base_bne_capitel_ner_bsc_lt_pipeline_es.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_bne_capitel_ner_bsc_lt_pipeline_es.md
new file mode 100644
index 00000000000000..1a463d8182f2f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_bne_capitel_ner_bsc_lt_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish roberta_base_bne_capitel_ner_bsc_lt_pipeline pipeline RoBertaForTokenClassification from BSC-LT
+author: John Snow Labs
+name: roberta_base_bne_capitel_ner_bsc_lt_pipeline
+date: 2024-11-11
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_capitel_ner_bsc_lt_pipeline` is a Castilian, Spanish model originally trained by BSC-LT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_bsc_lt_pipeline_es_5.5.1_3.0_1731311863930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_bsc_lt_pipeline_es_5.5.1_3.0_1731311863930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_capitel_ner_bsc_lt_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_capitel_ner_bsc_lt_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_capitel_ner_bsc_lt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|456.6 MB|
+
+## References
+
+https://huggingface.co/BSC-LT/roberta-base-bne-capitel-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es.md
new file mode 100644
index 00000000000000..0b105e39847a7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es.md
@@ -0,0 +1,72 @@
+---
+layout: model
+title: Castilian, Spanish roberta_base_bne_capitel_ner_plantl_gob_es_pipeline pipeline RoBertaForTokenClassification from PlanTL-GOB-ES
+author: John Snow Labs
+name: roberta_base_bne_capitel_ner_plantl_gob_es_pipeline
+date: 2024-11-11
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_capitel_ner_plantl_gob_es_pipeline` is a Castilian, Spanish model originally trained by PlanTL-GOB-ES.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es_5.5.1_3.0_1731312026562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es_5.5.1_3.0_1731312026562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+pipeline = PretrainedPipeline("roberta_base_bne_capitel_ner_plantl_gob_es_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+```
+```scala
+val pipeline = new PretrainedPipeline("roberta_base_bne_capitel_ner_plantl_gob_es_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_capitel_ner_plantl_gob_es_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|456.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-capitel-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_base_finetuned_ner_cadec_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_finetuned_ner_cadec_en.md
new file mode 100644
index 00000000000000..3a97f521081872
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_finetuned_ner_cadec_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_ner_cadec RoBertaForTokenClassification from csNoHug
+author: John Snow Labs
+name: roberta_base_finetuned_ner_cadec
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_ner_cadec` is a English model originally trained by csNoHug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_cadec_en_5.5.1_3.0_1731311612890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_cadec_en_5.5.1_3.0_1731311612890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_ner_cadec|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|427.6 MB|
+
+## References
+
+https://huggingface.co/csNoHug/roberta-base-finetuned-ner-cadec
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_base_finetuned_ner_cadec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_finetuned_ner_cadec_pipeline_en.md
new file mode 100644
index 00000000000000..a7e5ebcab8f6d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_base_finetuned_ner_cadec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_ner_cadec_pipeline pipeline RoBertaForTokenClassification from csNoHug
+author: John Snow Labs
+name: roberta_base_finetuned_ner_cadec_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_ner_cadec_pipeline` is a English model originally trained by csNoHug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_cadec_pipeline_en_5.5.1_3.0_1731311647637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_cadec_pipeline_en_5.5.1_3.0_1731311647637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_ner_cadec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_ner_cadec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_ner_cadec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.6 MB|
+
+## References
+
+https://huggingface.co/csNoHug/roberta-base-finetuned-ner-cadec
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_epoch_7_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_epoch_7_en.md
new file mode 100644
index 00000000000000..3100b75a89a3df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_epoch_7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_combined_generated_epoch_7 RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_epoch_7
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_epoch_7` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_epoch_7_en_5.5.1_3.0_1731314414899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_epoch_7_en_5.5.1_3.0_1731314414899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_epoch_7|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_epoch_7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_epoch_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_epoch_7_pipeline_en.md
new file mode 100644
index 00000000000000..8e90885accfe79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_epoch_7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_combined_generated_epoch_7_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_epoch_7_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_epoch_7_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_epoch_7_pipeline_en_5.5.1_3.0_1731314430537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_epoch_7_pipeline_en_5.5.1_3.0_1731314430537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_combined_generated_epoch_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_combined_generated_epoch_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_epoch_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_epoch_7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_7_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_7_en.md
new file mode 100644
index 00000000000000..1a06a4181992fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_combined_generated_v1_1_epoch_7 RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_v1_1_epoch_7
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_v1_1_epoch_7` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_7_en_5.5.1_3.0_1731311705278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_7_en_5.5.1_3.0_1731311705278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_v1_1_epoch_7|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_v1.1_epoch_7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_7_pipeline_en.md
new file mode 100644
index 00000000000000..8b4b7edb97fc5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_combined_generated_v1_1_epoch_7_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_v1_1_epoch_7_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_v1_1_epoch_7_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_7_pipeline_en_5.5.1_3.0_1731311730183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_7_pipeline_en_5.5.1_3.0_1731311730183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_combined_generated_v1_1_epoch_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_combined_generated_v1_1_epoch_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_v1_1_epoch_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_v1.1_epoch_7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_8_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_8_en.md
new file mode 100644
index 00000000000000..76dc29c3142f32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_combined_generated_v1_1_epoch_8 RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_v1_1_epoch_8
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_v1_1_epoch_8` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_8_en_5.5.1_3.0_1731311211090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_8_en_5.5.1_3.0_1731311211090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_v1_1_epoch_8|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_v1.1_epoch_8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_8_pipeline_en.md
new file mode 100644
index 00000000000000..37ebbef94efbad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_combined_generated_v1_1_epoch_8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_combined_generated_v1_1_epoch_8_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_v1_1_epoch_8_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_v1_1_epoch_8_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_8_pipeline_en_5.5.1_3.0_1731311229047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_epoch_8_pipeline_en_5.5.1_3.0_1731311229047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_combined_generated_v1_1_epoch_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_combined_generated_v1_1_epoch_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_v1_1_epoch_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_v1.1_epoch_8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_bajanthrimadhu_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_bajanthrimadhu_en.md
new file mode 100644
index 00000000000000..1e374b19c60ac7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_bajanthrimadhu_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_bajanthrimadhu RoBertaForQuestionAnswering from BajanthriMadhu
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_bajanthrimadhu
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_bajanthrimadhu` is a English model originally trained by BajanthriMadhu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_bajanthrimadhu_en_5.5.1_3.0_1731291741389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_bajanthrimadhu_en_5.5.1_3.0_1731291741389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_bajanthrimadhu|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/BajanthriMadhu/roberta-finetuned-subjqa-movies_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline_en.md
new file mode 100644
index 00000000000000..2b7aeb7039ec9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline pipeline RoBertaForQuestionAnswering from BajanthriMadhu
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline` is a English model originally trained by BajanthriMadhu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline_en_5.5.1_3.0_1731291765523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline_en_5.5.1_3.0_1731291765523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_bajanthrimadhu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/BajanthriMadhu/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_dcrowleymunster_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_dcrowleymunster_en.md
new file mode 100644
index 00000000000000..a1b192f965294f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_dcrowleymunster_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_dcrowleymunster RoBertaForQuestionAnswering from dcrowleymunster
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_dcrowleymunster
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_dcrowleymunster` is a English model originally trained by dcrowleymunster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_dcrowleymunster_en_5.5.1_3.0_1731291888611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_dcrowleymunster_en_5.5.1_3.0_1731291888611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_dcrowleymunster|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/dcrowleymunster/roberta-finetuned-subjqa-movies_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline_en.md
new file mode 100644
index 00000000000000..bea64e2b984f4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline pipeline RoBertaForQuestionAnswering from dcrowleymunster
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline` is a English model originally trained by dcrowleymunster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline_en_5.5.1_3.0_1731291912750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline_en_5.5.1_3.0_1731291912750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_dcrowleymunster_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/dcrowleymunster/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_moussamoustapha_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_moussamoustapha_en.md
new file mode 100644
index 00000000000000..12ab1e5928ca39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_moussamoustapha_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_moussamoustapha RoBertaForQuestionAnswering from MoussaMoustapha
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_moussamoustapha
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_moussamoustapha` is a English model originally trained by MoussaMoustapha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_moussamoustapha_en_5.5.1_3.0_1731291906700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_moussamoustapha_en_5.5.1_3.0_1731291906700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_moussamoustapha|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/MoussaMoustapha/roberta-finetuned-subjqa-movies_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline_en.md
new file mode 100644
index 00000000000000..c008e8e13c60d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline pipeline RoBertaForQuestionAnswering from MoussaMoustapha
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline` is a English model originally trained by MoussaMoustapha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline_en_5.5.1_3.0_1731291930779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline_en_5.5.1_3.0_1731291930779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_moussamoustapha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/MoussaMoustapha/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_abbr_filtered_plod_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_abbr_filtered_plod_en.md
new file mode 100644
index 00000000000000..5e7ed41bcfe692
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_abbr_filtered_plod_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_abbr_filtered_plod RoBertaForTokenClassification from surrey-nlp
+author: John Snow Labs
+name: roberta_large_finetuned_abbr_filtered_plod
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_abbr_filtered_plod` is a English model originally trained by surrey-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_filtered_plod_en_5.5.1_3.0_1731311931491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_filtered_plod_en_5.5.1_3.0_1731311931491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_abbr_filtered_plod|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/surrey-nlp/roberta-large-finetuned-abbr-filtered-plod
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_ner_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_ner_finetuned_ner_en.md
new file mode 100644
index 00000000000000..e0462a49903f4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_ner_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_ner_finetuned_ner RoBertaForTokenClassification from EngTig
+author: John Snow Labs
+name: roberta_large_finetuned_ner_finetuned_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_ner_finetuned_ner` is a English model originally trained by EngTig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ner_finetuned_ner_en_5.5.1_3.0_1731314705749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ner_finetuned_ner_en_5.5.1_3.0_1731314705749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_ner_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/EngTig/roberta-large-finetuned-ner-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_ner_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_ner_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..2f468654123ec1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_finetuned_ner_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_ner_finetuned_ner_pipeline pipeline RoBertaForTokenClassification from EngTig
+author: John Snow Labs
+name: roberta_large_finetuned_ner_finetuned_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_ner_finetuned_ner_pipeline` is a English model originally trained by EngTig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ner_finetuned_ner_pipeline_en_5.5.1_3.0_1731314773896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ner_finetuned_ner_pipeline_en_5.5.1_3.0_1731314773896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_ner_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_ner_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_ner_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/EngTig/roberta-large-finetuned-ner-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_large_lemon_spell_5k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_lemon_spell_5k_pipeline_en.md
new file mode 100644
index 00000000000000..4e6b72c0baef7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_large_lemon_spell_5k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_lemon_spell_5k_pipeline pipeline RoBertaForTokenClassification from manred1997
+author: John Snow Labs
+name: roberta_large_lemon_spell_5k_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_lemon_spell_5k_pipeline` is a English model originally trained by manred1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_lemon_spell_5k_pipeline_en_5.5.1_3.0_1731311835916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_lemon_spell_5k_pipeline_en_5.5.1_3.0_1731311835916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_lemon_spell_5k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_lemon_spell_5k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_lemon_spell_5k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/manred1997/roberta-large_lemon-spell_5k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_spanish_clinical_trials_neg_spec_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_spanish_clinical_trials_neg_spec_ner_en.md
new file mode 100644
index 00000000000000..b2f5d749d07255
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_spanish_clinical_trials_neg_spec_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_spanish_clinical_trials_neg_spec_ner RoBertaForTokenClassification from medspaner
+author: John Snow Labs
+name: roberta_spanish_clinical_trials_neg_spec_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_spanish_clinical_trials_neg_spec_ner` is a English model originally trained by medspaner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_spanish_clinical_trials_neg_spec_ner_en_5.5.1_3.0_1731314639240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_spanish_clinical_trials_neg_spec_ner_en_5.5.1_3.0_1731314639240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_spanish_clinical_trials_neg_spec_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|450.7 MB|
+
+## References
+
+https://huggingface.co/medspaner/roberta-es-clinical-trials-neg-spec-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_test_training_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_test_training_en.md
new file mode 100644
index 00000000000000..a2add6cf1f0a02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_test_training_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_test_training RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_test_training
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_test_training` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_test_training_en_5.5.1_3.0_1731311877878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_test_training_en_5.5.1_3.0_1731311877878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_test_training|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Test_Training
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-roberta_test_training_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-roberta_test_training_pipeline_en.md
new file mode 100644
index 00000000000000..d66dbdcc87894b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-roberta_test_training_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_test_training_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_test_training_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_test_training_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_test_training_pipeline_en_5.5.1_3.0_1731311894107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_test_training_pipeline_en_5.5.1_3.0_1731311894107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_test_training_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_test_training_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_test_training_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Test_Training
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-rubert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-11-11-rubert_finetuned_squad_en.md
new file mode 100644
index 00000000000000..e5c3d1be04bc2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-rubert_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English rubert_finetuned_squad BertForQuestionAnswering from sad-bkt
+author: John Snow Labs
+name: rubert_finetuned_squad
+date: 2024-11-11
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_finetuned_squad` is a English model originally trained by sad-bkt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_finetuned_squad_en_5.5.1_3.0_1731288820745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_finetuned_squad_en_5.5.1_3.0_1731288820745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/sad-bkt/rubert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-rubert_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-rubert_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..20919abae61627
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-rubert_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English rubert_finetuned_squad_pipeline pipeline BertForQuestionAnswering from sad-bkt
+author: John Snow Labs
+name: rubert_finetuned_squad_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_finetuned_squad_pipeline` is a English model originally trained by sad-bkt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_finetuned_squad_pipeline_en_5.5.1_3.0_1731288867678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_finetuned_squad_pipeline_en_5.5.1_3.0_1731288867678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/sad-bkt/rubert-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-rubert_russian_qa_sberquad_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-11-11-rubert_russian_qa_sberquad_pipeline_ru.md
new file mode 100644
index 00000000000000..f87c9c44b4e02a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-rubert_russian_qa_sberquad_pipeline_ru.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Russian rubert_russian_qa_sberquad_pipeline pipeline BertForQuestionAnswering from milyausha2801
+author: John Snow Labs
+name: rubert_russian_qa_sberquad_pipeline
+date: 2024-11-11
+tags: [ru, open_source, pipeline, onnx]
+task: Question Answering
+language: ru
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_russian_qa_sberquad_pipeline` is a Russian model originally trained by milyausha2801.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_russian_qa_sberquad_pipeline_ru_5.5.1_3.0_1731289278063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_russian_qa_sberquad_pipeline_ru_5.5.1_3.0_1731289278063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_russian_qa_sberquad_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_russian_qa_sberquad_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_russian_qa_sberquad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/milyausha2801/rubert-russian-qa-sberquad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-rubert_russian_qa_sberquad_ru.md b/docs/_posts/ahmedlone127/2024-11-11-rubert_russian_qa_sberquad_ru.md
new file mode 100644
index 00000000000000..e86419e4db3e19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-rubert_russian_qa_sberquad_ru.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Russian rubert_russian_qa_sberquad BertForQuestionAnswering from milyausha2801
+author: John Snow Labs
+name: rubert_russian_qa_sberquad
+date: 2024-11-11
+tags: [ru, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: ru
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_russian_qa_sberquad` is a Russian model originally trained by milyausha2801.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_russian_qa_sberquad_ru_5.5.1_3.0_1731289240932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_russian_qa_sberquad_ru_5.5.1_3.0_1731289240932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rupunct_small|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|ru|
+|Size:|109.2 MB|
+
+## References
+
+https://huggingface.co/RUPunct/RUPunct_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ruroberta_large_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-ruroberta_large_ner_en.md
new file mode 100644
index 00000000000000..3bb5724da55871
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ruroberta_large_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ruroberta_large_ner RoBertaForTokenClassification from KobanBanan
+author: John Snow Labs
+name: ruroberta_large_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruroberta_large_ner` is a English model originally trained by KobanBanan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruroberta_large_ner_en_5.5.1_3.0_1731314157839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruroberta_large_ner_en_5.5.1_3.0_1731314157839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_large_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KobanBanan/ruRoberta-large_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-ruroberta_large_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-ruroberta_large_ner_pipeline_en.md
new file mode 100644
index 00000000000000..9cf3826d7590c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-ruroberta_large_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ruroberta_large_ner_pipeline pipeline RoBertaForTokenClassification from KobanBanan
+author: John Snow Labs
+name: ruroberta_large_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruroberta_large_ner_pipeline` is a English model originally trained by KobanBanan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruroberta_large_ner_pipeline_en_5.5.1_3.0_1731314229337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruroberta_large_ner_pipeline_en_5.5.1_3.0_1731314229337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ruroberta_large_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ruroberta_large_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_large_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KobanBanan/ruRoberta-large_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-scenario_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2024-11-11-scenario_nepal_bhasa_en.md
new file mode 100644
index 00000000000000..c7093e0b973f82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-scenario_nepal_bhasa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scenario_nepal_bhasa BertForSequenceClassification from Mahmoud3899
+author: John Snow Labs
+name: scenario_nepal_bhasa
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_nepal_bhasa` is a English model originally trained by Mahmoud3899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_nepal_bhasa_en_5.5.1_3.0_1731310227574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_nepal_bhasa_en_5.5.1_3.0_1731310227574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_nepal_bhasa|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Mahmoud3899/scenario_new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-scenario_nepal_bhasa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-scenario_nepal_bhasa_pipeline_en.md
new file mode 100644
index 00000000000000..659b60d1e70c3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-scenario_nepal_bhasa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_nepal_bhasa_pipeline pipeline BertForSequenceClassification from Mahmoud3899
+author: John Snow Labs
+name: scenario_nepal_bhasa_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_nepal_bhasa_pipeline` is a English model originally trained by Mahmoud3899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_nepal_bhasa_pipeline_en_5.5.1_3.0_1731310249022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_nepal_bhasa_pipeline_en_5.5.1_3.0_1731310249022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_nepal_bhasa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_nepal_bhasa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_nepal_bhasa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Mahmoud3899/scenario_new
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-screenshot_fashion_clip_finetuned_en.md b/docs/_posts/ahmedlone127/2024-11-11-screenshot_fashion_clip_finetuned_en.md
new file mode 100644
index 00000000000000..ed8c1582e10d65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-screenshot_fashion_clip_finetuned_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English screenshot_fashion_clip_finetuned CLIPForZeroShotClassification from justin-shopcapsule
+author: John Snow Labs
+name: screenshot_fashion_clip_finetuned
+date: 2024-11-11
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`screenshot_fashion_clip_finetuned` is a English model originally trained by justin-shopcapsule.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/screenshot_fashion_clip_finetuned_en_5.5.1_3.0_1731287543136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/screenshot_fashion_clip_finetuned_en_5.5.1_3.0_1731287543136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("screenshot_fashion_clip_finetuned","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("screenshot_fashion_clip_finetuned","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|screenshot_fashion_clip_finetuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|567.5 MB|
+
+## References
+
+https://huggingface.co/justin-shopcapsule/screenshot-fashion-clip-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-screenshot_fashion_clip_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-screenshot_fashion_clip_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..102d8b6c14a858
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-screenshot_fashion_clip_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English screenshot_fashion_clip_finetuned_pipeline pipeline CLIPForZeroShotClassification from justin-shopcapsule
+author: John Snow Labs
+name: screenshot_fashion_clip_finetuned_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`screenshot_fashion_clip_finetuned_pipeline` is a English model originally trained by justin-shopcapsule.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/screenshot_fashion_clip_finetuned_pipeline_en_5.5.1_3.0_1731287572581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/screenshot_fashion_clip_finetuned_pipeline_en_5.5.1_3.0_1731287572581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("screenshot_fashion_clip_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("screenshot_fashion_clip_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|screenshot_fashion_clip_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|567.6 MB|
+
+## References
+
+https://huggingface.co/justin-shopcapsule/screenshot-fashion-clip-finetuned
+
+## Included Models
+
+- ImageAssembler
+- CLIPForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-securebert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-11-11-securebert_finetuned_ner_en.md
new file mode 100644
index 00000000000000..1b411577d74f8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-securebert_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English securebert_finetuned_ner RoBertaForTokenClassification from zohreaz
+author: John Snow Labs
+name: securebert_finetuned_ner
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`securebert_finetuned_ner` is a English model originally trained by zohreaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/securebert_finetuned_ner_en_5.5.1_3.0_1731311208086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/securebert_finetuned_ner_en_5.5.1_3.0_1731311208086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|securebert_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/zohreaz/SecureBERT-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-securebert_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-securebert_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..2b9c4fceb757e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-securebert_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English securebert_finetuned_ner_pipeline pipeline RoBertaForTokenClassification from zohreaz
+author: John Snow Labs
+name: securebert_finetuned_ner_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`securebert_finetuned_ner_pipeline` is a English model originally trained by zohreaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/securebert_finetuned_ner_pipeline_en_5.5.1_3.0_1731311234765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/securebert_finetuned_ner_pipeline_en_5.5.1_3.0_1731311234765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("securebert_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("securebert_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|securebert_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/zohreaz/SecureBERT-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_7_epoch_edu_model_finetuned_fintech_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_7_epoch_edu_model_finetuned_fintech_en.md
new file mode 100644
index 00000000000000..42a54be53d2e4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_7_epoch_edu_model_finetuned_fintech_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_7_epoch_edu_model_finetuned_fintech BertSentenceEmbeddings from Pastushoc
+author: John Snow Labs
+name: sent_7_epoch_edu_model_finetuned_fintech
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_7_epoch_edu_model_finetuned_fintech` is a English model originally trained by Pastushoc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_7_epoch_edu_model_finetuned_fintech_en_5.5.1_3.0_1731295684263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_7_epoch_edu_model_finetuned_fintech_en_5.5.1_3.0_1731295684263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_7_epoch_edu_model_finetuned_fintech|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|108.7 MB|
+
+## References
+
+https://huggingface.co/Pastushoc/7_epoch_edu_model-finetuned-fintech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_7_epoch_edu_model_finetuned_fintech_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_7_epoch_edu_model_finetuned_fintech_pipeline_en.md
new file mode 100644
index 00000000000000..5e2b17bccd2d2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_7_epoch_edu_model_finetuned_fintech_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_7_epoch_edu_model_finetuned_fintech_pipeline pipeline BertSentenceEmbeddings from Pastushoc
+author: John Snow Labs
+name: sent_7_epoch_edu_model_finetuned_fintech_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_7_epoch_edu_model_finetuned_fintech_pipeline` is a English model originally trained by Pastushoc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_7_epoch_edu_model_finetuned_fintech_pipeline_en_5.5.1_3.0_1731295690134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_7_epoch_edu_model_finetuned_fintech_pipeline_en_5.5.1_3.0_1731295690134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_7_epoch_edu_model_finetuned_fintech_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_7_epoch_edu_model_finetuned_fintech_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_7_epoch_edu_model_finetuned_fintech_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|109.3 MB|
+
+## References
+
+https://huggingface.co/Pastushoc/7_epoch_edu_model-finetuned-fintech
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_bert_base_english_french_arabic_cased_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_base_english_french_arabic_cased_en.md
new file mode 100644
index 00000000000000..596ef115ca3bfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_base_english_french_arabic_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_french_arabic_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_arabic_cased
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_arabic_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_arabic_cased_en_5.5.1_3.0_1731296029932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_arabic_cased_en_5.5.1_3.0_1731296029932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_arabic_cased|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|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/ahmedlone127/2024-11-11-sent_bert_base_english_french_arabic_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_base_english_french_arabic_cased_pipeline_en.md
new file mode 100644
index 00000000000000..d3aaf7c6ebedb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_base_english_french_arabic_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_french_arabic_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_arabic_cased_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_arabic_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_arabic_cased_pipeline_en_5.5.1_3.0_1731296051698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_arabic_cased_pipeline_en_5.5.1_3.0_1731296051698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_french_arabic_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_french_arabic_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_arabic_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-ar-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_bert_large_cased_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_large_cased_en.md
new file mode 100644
index 00000000000000..6256a2727669dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_large_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: BERT Sentence Embeddings (Large Cased)
+author: John Snow Labs
+name: sent_bert_large_cased
+date: 2024-11-11
+tags: [open_source, embeddings, en, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This model contains a deep bidirectional transformer trained on Wikipedia and the BookCorpus. The details are described in the paper "[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805)".
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_en_5.5.1_3.0_1731295875935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_cased_en_5.5.1_3.0_1731295875935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_small_uncased|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/gaunernst/bert-small-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_bert_small_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_small_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..41d9628eebb246
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_bert_small_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_small_uncased_pipeline pipeline BertSentenceEmbeddings from gaunernst
+author: John Snow Labs
+name: sent_bert_small_uncased_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_small_uncased_pipeline` is a English model originally trained by gaunernst.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_small_uncased_pipeline_en_5.5.1_3.0_1731295497059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_small_uncased_pipeline_en_5.5.1_3.0_1731295497059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_small_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_small_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_small_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|107.5 MB|
+
+## References
+
+https://huggingface.co/gaunernst/bert-small-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_bowdpr_wiki_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_bowdpr_wiki_en.md
new file mode 100644
index 00000000000000..7b4bff50cf0205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_bowdpr_wiki_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bowdpr_wiki BertSentenceEmbeddings from bowdpr
+author: John Snow Labs
+name: sent_bowdpr_wiki
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bowdpr_wiki` is a English model originally trained by bowdpr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bowdpr_wiki_en_5.5.1_3.0_1731295788052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bowdpr_wiki_en_5.5.1_3.0_1731295788052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bowdpr_wiki|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/bowdpr/bowdpr_wiki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_bowdpr_wiki_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_bowdpr_wiki_pipeline_en.md
new file mode 100644
index 00000000000000..582cd91ff203ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_bowdpr_wiki_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bowdpr_wiki_pipeline pipeline BertSentenceEmbeddings from bowdpr
+author: John Snow Labs
+name: sent_bowdpr_wiki_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bowdpr_wiki_pipeline` is a English model originally trained by bowdpr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bowdpr_wiki_pipeline_en_5.5.1_3.0_1731295808981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bowdpr_wiki_pipeline_en_5.5.1_3.0_1731295808981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bowdpr_wiki_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bowdpr_wiki_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bowdpr_wiki_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/bowdpr/bowdpr_wiki
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_cocodr_large_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_cocodr_large_en.md
new file mode 100644
index 00000000000000..7caf59748d94eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_cocodr_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_cocodr_large BertSentenceEmbeddings from OpenMatch
+author: John Snow Labs
+name: sent_cocodr_large
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_cocodr_large` is a English model originally trained by OpenMatch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_cocodr_large_en_5.5.1_3.0_1731296353493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_cocodr_large_en_5.5.1_3.0_1731296353493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_cocodr_large|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/OpenMatch/cocodr-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_cocodr_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_cocodr_large_pipeline_en.md
new file mode 100644
index 00000000000000..fdcc0429397e6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_cocodr_large_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_cocodr_large_pipeline pipeline BertSentenceEmbeddings from OpenMatch
+author: John Snow Labs
+name: sent_cocodr_large_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_cocodr_large_pipeline` is a English model originally trained by OpenMatch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_cocodr_large_pipeline_en_5.5.1_3.0_1731296416055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_cocodr_large_pipeline_en_5.5.1_3.0_1731296416055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_cocodr_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_cocodr_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_cocodr_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/OpenMatch/cocodr-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_flang_spanbert_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_flang_spanbert_en.md
new file mode 100644
index 00000000000000..00ffea7911dde4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_flang_spanbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_flang_spanbert BertSentenceEmbeddings from SALT-NLP
+author: John Snow Labs
+name: sent_flang_spanbert
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_flang_spanbert` is a English model originally trained by SALT-NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_flang_spanbert_en_5.5.1_3.0_1731295507910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_flang_spanbert_en_5.5.1_3.0_1731295507910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_flang_spanbert|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|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/ahmedlone127/2024-11-11-sent_flang_spanbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_flang_spanbert_pipeline_en.md
new file mode 100644
index 00000000000000..3e59ffc19a4472
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_flang_spanbert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_flang_spanbert_pipeline pipeline BertSentenceEmbeddings from SALT-NLP
+author: John Snow Labs
+name: sent_flang_spanbert_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_flang_spanbert_pipeline` is a English model originally trained by SALT-NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_flang_spanbert_pipeline_en_5.5.1_3.0_1731295529427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_flang_spanbert_pipeline_en_5.5.1_3.0_1731295529427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_flang_spanbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_flang_spanbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_flang_spanbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.1 MB|
+
+## References
+
+https://huggingface.co/SALT-NLP/FLANG-SpanBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_gww_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_gww_en.md
new file mode 100644
index 00000000000000..2cf6dab7b7a777
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_gww_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_gww BertSentenceEmbeddings from dunlp
+author: John Snow Labs
+name: sent_gww
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_gww` is a English model originally trained by dunlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_gww_en_5.5.1_3.0_1731296186768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_gww_en_5.5.1_3.0_1731296186768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_gww|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/dunlp/GWW
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_gww_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_gww_pipeline_en.md
new file mode 100644
index 00000000000000..c94c30884dffce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_gww_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_gww_pipeline pipeline BertSentenceEmbeddings from dunlp
+author: John Snow Labs
+name: sent_gww_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_gww_pipeline` is a English model originally trained by dunlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_gww_pipeline_en_5.5.1_3.0_1731296207716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_gww_pipeline_en_5.5.1_3.0_1731296207716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_gww_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_gww_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_gww_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/dunlp/GWW
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_hindi_tweets_bert_hateful_hi.md b/docs/_posts/ahmedlone127/2024-11-11-sent_hindi_tweets_bert_hateful_hi.md
new file mode 100644
index 00000000000000..1206e880b00eb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_hindi_tweets_bert_hateful_hi.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Hindi sent_hindi_tweets_bert_hateful BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_hindi_tweets_bert_hateful
+date: 2024-11-11
+tags: [hi, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_tweets_bert_hateful` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_tweets_bert_hateful_hi_5.5.1_3.0_1731295605957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_tweets_bert_hateful_hi_5.5.1_3.0_1731295605957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_tweets_bert_hateful|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|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/ahmedlone127/2024-11-11-sent_hindi_tweets_bert_hateful_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-11-11-sent_hindi_tweets_bert_hateful_pipeline_hi.md
new file mode 100644
index 00000000000000..b32d4fbe8decb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_hindi_tweets_bert_hateful_pipeline_hi.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Hindi sent_hindi_tweets_bert_hateful_pipeline pipeline BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_hindi_tweets_bert_hateful_pipeline
+date: 2024-11-11
+tags: [hi, open_source, pipeline, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_tweets_bert_hateful_pipeline` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_tweets_bert_hateful_pipeline_hi_5.5.1_3.0_1731295656628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_tweets_bert_hateful_pipeline_hi_5.5.1_3.0_1731295656628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_hindi_tweets_bert_hateful_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_hindi_tweets_bert_hateful_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_tweets_bert_hateful_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|891.2 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-tweets-bert-hateful
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_hinglish_bert_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_hinglish_bert_en.md
new file mode 100644
index 00000000000000..0f0e6559c1ccfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_hinglish_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_hinglish_bert BertSentenceEmbeddings from meghanabhange
+author: John Snow Labs
+name: sent_hinglish_bert
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hinglish_bert` is a English model originally trained by meghanabhange.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hinglish_bert_en_5.5.1_3.0_1731296141121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hinglish_bert_en_5.5.1_3.0_1731296141121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hinglish_bert|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|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/ahmedlone127/2024-11-11-sent_hinglish_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_hinglish_bert_pipeline_en.md
new file mode 100644
index 00000000000000..8bcbeff1e1404e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_hinglish_bert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_hinglish_bert_pipeline pipeline BertSentenceEmbeddings from meghanabhange
+author: John Snow Labs
+name: sent_hinglish_bert_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hinglish_bert_pipeline` is a English model originally trained by meghanabhange.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hinglish_bert_pipeline_en_5.5.1_3.0_1731296175548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hinglish_bert_pipeline_en_5.5.1_3.0_1731296175548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_hinglish_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_hinglish_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hinglish_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.6 MB|
+
+## References
+
+https://huggingface.co/meghanabhange/Hinglish-Bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_kinyabert_small_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_kinyabert_small_en.md
new file mode 100644
index 00000000000000..fa36e89fefb180
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_kinyabert_small_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_kinyabert_small BertSentenceEmbeddings from jean-paul
+author: John Snow Labs
+name: sent_kinyabert_small
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_kinyabert_small` is a English model originally trained by jean-paul.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_kinyabert_small_en_5.5.1_3.0_1731296300457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_kinyabert_small_en_5.5.1_3.0_1731296300457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_kinyabert_small|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/jean-paul/KinyaBERT-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_kinyabert_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_kinyabert_small_pipeline_en.md
new file mode 100644
index 00000000000000..9357bf7410de47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_kinyabert_small_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_kinyabert_small_pipeline pipeline BertSentenceEmbeddings from jean-paul
+author: John Snow Labs
+name: sent_kinyabert_small_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_kinyabert_small_pipeline` is a English model originally trained by jean-paul.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_kinyabert_small_pipeline_en_5.5.1_3.0_1731296313640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_kinyabert_small_pipeline_en_5.5.1_3.0_1731296313640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_kinyabert_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_kinyabert_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_kinyabert_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|248.0 MB|
+
+## References
+
+https://huggingface.co/jean-paul/KinyaBERT-small
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_legal_bert_base_uncased_finetuned_rramicus_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_legal_bert_base_uncased_finetuned_rramicus_en.md
new file mode 100644
index 00000000000000..a2068c527f4a0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_legal_bert_base_uncased_finetuned_rramicus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_legal_bert_base_uncased_finetuned_rramicus BertSentenceEmbeddings from repro-rights-amicus-briefs
+author: John Snow Labs
+name: sent_legal_bert_base_uncased_finetuned_rramicus
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_legal_bert_base_uncased_finetuned_rramicus` is a English model originally trained by repro-rights-amicus-briefs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_legal_bert_base_uncased_finetuned_rramicus_en_5.5.1_3.0_1731295609641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_legal_bert_base_uncased_finetuned_rramicus_en_5.5.1_3.0_1731295609641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_legal_bert_base_uncased_finetuned_rramicus|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|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/ahmedlone127/2024-11-11-sent_legal_bert_base_uncased_finetuned_rramicus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_legal_bert_base_uncased_finetuned_rramicus_pipeline_en.md
new file mode 100644
index 00000000000000..e1feaa3e7fff1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_legal_bert_base_uncased_finetuned_rramicus_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_legal_bert_base_uncased_finetuned_rramicus_pipeline pipeline BertSentenceEmbeddings from repro-rights-amicus-briefs
+author: John Snow Labs
+name: sent_legal_bert_base_uncased_finetuned_rramicus_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_legal_bert_base_uncased_finetuned_rramicus_pipeline` is a English model originally trained by repro-rights-amicus-briefs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_legal_bert_base_uncased_finetuned_rramicus_pipeline_en_5.5.1_3.0_1731295639417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_legal_bert_base_uncased_finetuned_rramicus_pipeline_en_5.5.1_3.0_1731295639417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_legal_bert_base_uncased_finetuned_rramicus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_legal_bert_base_uncased_finetuned_rramicus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_legal_bert_base_uncased_finetuned_rramicus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/repro-rights-amicus-briefs/legal-bert-base-uncased-finetuned-RRamicus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_logion_50k_wordpiece_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_logion_50k_wordpiece_en.md
new file mode 100644
index 00000000000000..16ef3a4bd3e8eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_logion_50k_wordpiece_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_logion_50k_wordpiece BertSentenceEmbeddings from cabrooks
+author: John Snow Labs
+name: sent_logion_50k_wordpiece
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_logion_50k_wordpiece` is a English model originally trained by cabrooks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_logion_50k_wordpiece_en_5.5.1_3.0_1731296515126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_logion_50k_wordpiece_en_5.5.1_3.0_1731296515126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_logion_50k_wordpiece|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/cabrooks/LOGION-50k_wordpiece
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_logion_50k_wordpiece_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_logion_50k_wordpiece_pipeline_en.md
new file mode 100644
index 00000000000000..db875dd24d6509
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_logion_50k_wordpiece_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_logion_50k_wordpiece_pipeline pipeline BertSentenceEmbeddings from cabrooks
+author: John Snow Labs
+name: sent_logion_50k_wordpiece_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_logion_50k_wordpiece_pipeline` is a English model originally trained by cabrooks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_logion_50k_wordpiece_pipeline_en_5.5.1_3.0_1731296537847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_logion_50k_wordpiece_pipeline_en_5.5.1_3.0_1731296537847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_logion_50k_wordpiece_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_logion_50k_wordpiece_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_logion_50k_wordpiece_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/cabrooks/LOGION-50k_wordpiece
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_mbert_resp_english_chinese_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_mbert_resp_english_chinese_en.md
new file mode 100644
index 00000000000000..fde19de7c4545e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_mbert_resp_english_chinese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_mbert_resp_english_chinese BertSentenceEmbeddings from nikitam
+author: John Snow Labs
+name: sent_mbert_resp_english_chinese
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_mbert_resp_english_chinese` is a English model originally trained by nikitam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mbert_resp_english_chinese_en_5.5.1_3.0_1731296372061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mbert_resp_english_chinese_en_5.5.1_3.0_1731296372061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mbert_resp_english_chinese|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|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/ahmedlone127/2024-11-11-sent_mbert_resp_english_chinese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_mbert_resp_english_chinese_pipeline_en.md
new file mode 100644
index 00000000000000..ac69c89b3dba18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_mbert_resp_english_chinese_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_mbert_resp_english_chinese_pipeline pipeline BertSentenceEmbeddings from nikitam
+author: John Snow Labs
+name: sent_mbert_resp_english_chinese_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_mbert_resp_english_chinese_pipeline` is a English model originally trained by nikitam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mbert_resp_english_chinese_pipeline_en_5.5.1_3.0_1731296403530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mbert_resp_english_chinese_pipeline_en_5.5.1_3.0_1731296403530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_mbert_resp_english_chinese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_mbert_resp_english_chinese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mbert_resp_english_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/nikitam/mbert-resp-en-zh
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_pak_legal_bert_small_uncased_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_pak_legal_bert_small_uncased_en.md
new file mode 100644
index 00000000000000..0601d07658c3e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_pak_legal_bert_small_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_pak_legal_bert_small_uncased BertSentenceEmbeddings from AISystems
+author: John Snow Labs
+name: sent_pak_legal_bert_small_uncased
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_pak_legal_bert_small_uncased` is a English model originally trained by AISystems.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_pak_legal_bert_small_uncased_en_5.5.1_3.0_1731295493020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_pak_legal_bert_small_uncased_en_5.5.1_3.0_1731295493020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_pak_legal_bert_small_uncased|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|130.5 MB|
+
+## References
+
+https://huggingface.co/AISystems/PAK-LEGAL-BERT-small-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_pak_legal_bert_small_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_pak_legal_bert_small_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..0fb73d309e24bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_pak_legal_bert_small_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_pak_legal_bert_small_uncased_pipeline pipeline BertSentenceEmbeddings from AISystems
+author: John Snow Labs
+name: sent_pak_legal_bert_small_uncased_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_pak_legal_bert_small_uncased_pipeline` is a English model originally trained by AISystems.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_pak_legal_bert_small_uncased_pipeline_en_5.5.1_3.0_1731295500164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_pak_legal_bert_small_uncased_pipeline_en_5.5.1_3.0_1731295500164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_pak_legal_bert_small_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_pak_legal_bert_small_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_pak_legal_bert_small_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|131.1 MB|
+
+## References
+
+https://huggingface.co/AISystems/PAK-LEGAL-BERT-small-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_prunedbert_l12_h384_a6_finetuned_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_prunedbert_l12_h384_a6_finetuned_en.md
new file mode 100644
index 00000000000000..786616bedc58fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_prunedbert_l12_h384_a6_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_prunedbert_l12_h384_a6_finetuned BertSentenceEmbeddings from eli4s
+author: John Snow Labs
+name: sent_prunedbert_l12_h384_a6_finetuned
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_prunedbert_l12_h384_a6_finetuned` is a English model originally trained by eli4s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_prunedbert_l12_h384_a6_finetuned_en_5.5.1_3.0_1731295988320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_prunedbert_l12_h384_a6_finetuned_en_5.5.1_3.0_1731295988320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_prunedbert_l12_h384_a6_finetuned|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|176.4 MB|
+
+## References
+
+https://huggingface.co/eli4s/prunedBert-L12-h384-A6-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_prunedbert_l12_h384_a6_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_prunedbert_l12_h384_a6_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..809d46e5e4e899
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_prunedbert_l12_h384_a6_finetuned_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_prunedbert_l12_h384_a6_finetuned_pipeline pipeline BertSentenceEmbeddings from eli4s
+author: John Snow Labs
+name: sent_prunedbert_l12_h384_a6_finetuned_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_prunedbert_l12_h384_a6_finetuned_pipeline` is a English model originally trained by eli4s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_prunedbert_l12_h384_a6_finetuned_pipeline_en_5.5.1_3.0_1731295997556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_prunedbert_l12_h384_a6_finetuned_pipeline_en_5.5.1_3.0_1731295997556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_prunedbert_l12_h384_a6_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_prunedbert_l12_h384_a6_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_prunedbert_l12_h384_a6_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|177.0 MB|
+
+## References
+
+https://huggingface.co/eli4s/prunedBert-L12-h384-A6-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_structbert_large_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_structbert_large_en.md
new file mode 100644
index 00000000000000..9d411c90eabd98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_structbert_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_structbert_large BertSentenceEmbeddings from bayartsogt
+author: John Snow Labs
+name: sent_structbert_large
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_structbert_large` is a English model originally trained by bayartsogt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_structbert_large_en_5.5.1_3.0_1731295741007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_structbert_large_en_5.5.1_3.0_1731295741007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_structbert_large|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bayartsogt/structbert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_structbert_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_structbert_large_pipeline_en.md
new file mode 100644
index 00000000000000..f9545f81882ba4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_structbert_large_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_structbert_large_pipeline pipeline BertSentenceEmbeddings from bayartsogt
+author: John Snow Labs
+name: sent_structbert_large_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_structbert_large_pipeline` is a English model originally trained by bayartsogt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_structbert_large_pipeline_en_5.5.1_3.0_1731295805138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_structbert_large_pipeline_en_5.5.1_3.0_1731295805138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_structbert_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_structbert_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_structbert_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bayartsogt/structbert-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_mnli_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_mnli_en.md
new file mode 100644
index 00000000000000..bd547fe49d2313
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_mnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_tiny_mlm_glue_mnli BertSentenceEmbeddings from muhtasham
+author: John Snow Labs
+name: sent_tiny_mlm_glue_mnli
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tiny_mlm_glue_mnli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_mnli_en_5.5.1_3.0_1731295597619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_mnli_en_5.5.1_3.0_1731295597619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tiny_mlm_glue_mnli|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_mnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_mnli_pipeline_en.md
new file mode 100644
index 00000000000000..01b0eedcdddeb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_mnli_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_tiny_mlm_glue_mnli_pipeline pipeline BertSentenceEmbeddings from muhtasham
+author: John Snow Labs
+name: sent_tiny_mlm_glue_mnli_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tiny_mlm_glue_mnli_pipeline` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_mnli_pipeline_en_5.5.1_3.0_1731295598891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_mnli_pipeline_en_5.5.1_3.0_1731295598891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_tiny_mlm_glue_mnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_tiny_mlm_glue_mnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tiny_mlm_glue_mnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|17.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_qnli_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_qnli_en.md
new file mode 100644
index 00000000000000..d3ccc3bf166267
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_qnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_tiny_mlm_glue_qnli BertSentenceEmbeddings from muhtasham
+author: John Snow Labs
+name: sent_tiny_mlm_glue_qnli
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tiny_mlm_glue_qnli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_qnli_en_5.5.1_3.0_1731295911140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_qnli_en_5.5.1_3.0_1731295911140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tiny_mlm_glue_qnli|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_qnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_qnli_pipeline_en.md
new file mode 100644
index 00000000000000..3fc10d23738b8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_glue_qnli_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_tiny_mlm_glue_qnli_pipeline pipeline BertSentenceEmbeddings from muhtasham
+author: John Snow Labs
+name: sent_tiny_mlm_glue_qnli_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tiny_mlm_glue_qnli_pipeline` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_qnli_pipeline_en_5.5.1_3.0_1731295912316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_glue_qnli_pipeline_en_5.5.1_3.0_1731295912316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_tiny_mlm_glue_qnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_tiny_mlm_glue_qnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tiny_mlm_glue_qnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|17.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-glue-qnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_snli_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_snli_en.md
new file mode 100644
index 00000000000000..59b38622e1e5e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_snli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_tiny_mlm_snli BertSentenceEmbeddings from muhtasham
+author: John Snow Labs
+name: sent_tiny_mlm_snli
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tiny_mlm_snli` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_snli_en_5.5.1_3.0_1731296115989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_snli_en_5.5.1_3.0_1731296115989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tiny_mlm_snli|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_snli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_snli_pipeline_en.md
new file mode 100644
index 00000000000000..e1e8cbfe3b8e35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tiny_mlm_snli_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_tiny_mlm_snli_pipeline pipeline BertSentenceEmbeddings from muhtasham
+author: John Snow Labs
+name: sent_tiny_mlm_snli_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tiny_mlm_snli_pipeline` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_snli_pipeline_en_5.5.1_3.0_1731296117216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tiny_mlm_snli_pipeline_en_5.5.1_3.0_1731296117216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_tiny_mlm_snli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_tiny_mlm_snli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tiny_mlm_snli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|17.2 MB|
+
+## References
+
+https://huggingface.co/muhtasham/tiny-mlm-snli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tinybert_javanese_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tinybert_javanese_en.md
new file mode 100644
index 00000000000000..1c92e04daee06f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tinybert_javanese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_tinybert_javanese BertSentenceEmbeddings from akahana
+author: John Snow Labs
+name: sent_tinybert_javanese
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tinybert_javanese` is a English model originally trained by akahana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tinybert_javanese_en_5.5.1_3.0_1731296102820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tinybert_javanese_en_5.5.1_3.0_1731296102820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tinybert_javanese|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.6 MB|
+
+## References
+
+https://huggingface.co/akahana/tinybert-javanese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_tinybert_javanese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_tinybert_javanese_pipeline_en.md
new file mode 100644
index 00000000000000..0edbdfbd9bfaf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_tinybert_javanese_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_tinybert_javanese_pipeline pipeline BertSentenceEmbeddings from akahana
+author: John Snow Labs
+name: sent_tinybert_javanese_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tinybert_javanese_pipeline` is a English model originally trained by akahana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tinybert_javanese_pipeline_en_5.5.1_3.0_1731296104116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tinybert_javanese_pipeline_en_5.5.1_3.0_1731296104116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_tinybert_javanese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_tinybert_javanese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tinybert_javanese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|17.2 MB|
+
+## References
+
+https://huggingface.co/akahana/tinybert-javanese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_youtube_bert_10_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_youtube_bert_10_en.md
new file mode 100644
index 00000000000000..ec8410874d4ce9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_youtube_bert_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_youtube_bert_10 BertSentenceEmbeddings from flboehm
+author: John Snow Labs
+name: sent_youtube_bert_10
+date: 2024-11-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_youtube_bert_10` is a English model originally trained by flboehm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_10_en_5.5.1_3.0_1731296253290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_10_en_5.5.1_3.0_1731296253290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_youtube_bert_10|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/flboehm/youtube-bert_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sent_youtube_bert_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sent_youtube_bert_10_pipeline_en.md
new file mode 100644
index 00000000000000..4d90e7434588fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sent_youtube_bert_10_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_youtube_bert_10_pipeline pipeline BertSentenceEmbeddings from flboehm
+author: John Snow Labs
+name: sent_youtube_bert_10_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_youtube_bert_10_pipeline` is a English model originally trained by flboehm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_10_pipeline_en_5.5.1_3.0_1731296274142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_10_pipeline_en_5.5.1_3.0_1731296274142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_youtube_bert_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_youtube_bert_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_youtube_bert_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/flboehm/youtube-bert_10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sentence_similarity_finetuned_mpnet_adrta_en.md b/docs/_posts/ahmedlone127/2024-11-11-sentence_similarity_finetuned_mpnet_adrta_en.md
new file mode 100644
index 00000000000000..3b878db8d41968
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sentence_similarity_finetuned_mpnet_adrta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentence_similarity_finetuned_mpnet_adrta MPNetForSequenceClassification from aizenSosuke
+author: John Snow Labs
+name: sentence_similarity_finetuned_mpnet_adrta
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_similarity_finetuned_mpnet_adrta` is a English model originally trained by aizenSosuke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_similarity_finetuned_mpnet_adrta_en_5.5.1_3.0_1731301599861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_similarity_finetuned_mpnet_adrta_en_5.5.1_3.0_1731301599861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_similarity_finetuned_mpnet_adrta|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/aizenSosuke/sentence-similarity-finetuned-mpnet-adrta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sentence_similarity_finetuned_mpnet_adrta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sentence_similarity_finetuned_mpnet_adrta_pipeline_en.md
new file mode 100644
index 00000000000000..f17efdad427243
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sentence_similarity_finetuned_mpnet_adrta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentence_similarity_finetuned_mpnet_adrta_pipeline pipeline MPNetForSequenceClassification from aizenSosuke
+author: John Snow Labs
+name: sentence_similarity_finetuned_mpnet_adrta_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_similarity_finetuned_mpnet_adrta_pipeline` is a English model originally trained by aizenSosuke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_similarity_finetuned_mpnet_adrta_pipeline_en_5.5.1_3.0_1731301620394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_similarity_finetuned_mpnet_adrta_pipeline_en_5.5.1_3.0_1731301620394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentence_similarity_finetuned_mpnet_adrta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentence_similarity_finetuned_mpnet_adrta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_similarity_finetuned_mpnet_adrta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/aizenSosuke/sentence-similarity-finetuned-mpnet-adrta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sentence_transformers_all_mpnet_base_v2_en.md b/docs/_posts/ahmedlone127/2024-11-11-sentence_transformers_all_mpnet_base_v2_en.md
new file mode 100644
index 00000000000000..655ee36269b0f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sentence_transformers_all_mpnet_base_v2_en.md
@@ -0,0 +1,88 @@
+---
+layout: model
+title: English sentence_transformers_all_mpnet_base_v2 MPNetEmbeddings from ai-human-lab
+author: John Snow Labs
+name: sentence_transformers_all_mpnet_base_v2
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_transformers_all_mpnet_base_v2` is a English model originally trained by ai-human-lab.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_transformers_all_mpnet_base_v2_en_5.5.1_3.0_1731294868447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_transformers_all_mpnet_base_v2_en_5.5.1_3.0_1731294868447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentencetransformer_ftmodel_on_chemical_dataset|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|402.5 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/sentencetransformer_ftmodel_on_chemical_dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_ftmodel_on_chemical_dataset_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_ftmodel_on_chemical_dataset_pipeline_en.md
new file mode 100644
index 00000000000000..cd8788d4ba267c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_ftmodel_on_chemical_dataset_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English sentencetransformer_ftmodel_on_chemical_dataset_pipeline pipeline MPNetEmbeddings from Saideepthi55
+author: John Snow Labs
+name: sentencetransformer_ftmodel_on_chemical_dataset_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentencetransformer_ftmodel_on_chemical_dataset_pipeline` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentencetransformer_ftmodel_on_chemical_dataset_pipeline_en_5.5.1_3.0_1731295052812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentencetransformer_ftmodel_on_chemical_dataset_pipeline_en_5.5.1_3.0_1731295052812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentencetransformer_ftmodel_on_chemical_dataset_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentencetransformer_ftmodel_on_chemical_dataset_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentencetransformer_ftmodel_on_chemical_dataset_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|402.5 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/sentencetransformer_ftmodel_on_chemical_dataset
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_en.md b/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_en.md
new file mode 100644
index 00000000000000..d5045ad86dd36b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentencetransformer_mpnet_base_on_chemical_dataset MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: sentencetransformer_mpnet_base_on_chemical_dataset
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentencetransformer_mpnet_base_on_chemical_dataset` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentencetransformer_mpnet_base_on_chemical_dataset_en_5.5.1_3.0_1731301268354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentencetransformer_mpnet_base_on_chemical_dataset_en_5.5.1_3.0_1731301268354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentencetransformer_mpnet_base_on_chemical_dataset|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|263.5 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/sentencetransformer_mpnet_base_on_chemical_dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_pipeline_en.md
new file mode 100644
index 00000000000000..6b0b2bd45c68ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentencetransformer_mpnet_base_on_chemical_dataset_pipeline pipeline MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: sentencetransformer_mpnet_base_on_chemical_dataset_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentencetransformer_mpnet_base_on_chemical_dataset_pipeline` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentencetransformer_mpnet_base_on_chemical_dataset_pipeline_en_5.5.1_3.0_1731301346750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentencetransformer_mpnet_base_on_chemical_dataset_pipeline_en_5.5.1_3.0_1731301346750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentencetransformer_mpnet_base_on_chemical_dataset_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentencetransformer_mpnet_base_on_chemical_dataset_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentencetransformer_mpnet_base_on_chemical_dataset_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|263.5 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/sentencetransformer_mpnet_base_on_chemical_dataset
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-setfit_model_ireland_4labels_unbalanced_data_en.md b/docs/_posts/ahmedlone127/2024-11-11-setfit_model_ireland_4labels_unbalanced_data_en.md
new file mode 100644
index 00000000000000..f6651ad90e1108
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-setfit_model_ireland_4labels_unbalanced_data_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_ireland_4labels_unbalanced_data MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_ireland_4labels_unbalanced_data
+date: 2024-11-11
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_model_ireland_4labels_unbalanced_data` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_4labels_unbalanced_data_en_5.5.1_3.0_1731294943741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_4labels_unbalanced_data_en_5.5.1_3.0_1731294943741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_model_ireland_4labels_unbalanced_data|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mitra-mir/setfit-model-Ireland_4labels_unbalanced_data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-setfit_model_ireland_4labels_unbalanced_data_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-setfit_model_ireland_4labels_unbalanced_data_pipeline_en.md
new file mode 100644
index 00000000000000..562b9e139b615d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-setfit_model_ireland_4labels_unbalanced_data_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English setfit_model_ireland_4labels_unbalanced_data_pipeline pipeline MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_ireland_4labels_unbalanced_data_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_model_ireland_4labels_unbalanced_data_pipeline` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_4labels_unbalanced_data_pipeline_en_5.5.1_3.0_1731294965484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_4labels_unbalanced_data_pipeline_en_5.5.1_3.0_1731294965484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("setfit_model_ireland_4labels_unbalanced_data_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("setfit_model_ireland_4labels_unbalanced_data_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_model_ireland_4labels_unbalanced_data_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mitra-mir/setfit-model-Ireland_4labels_unbalanced_data
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-software_ner_prod_en.md b/docs/_posts/ahmedlone127/2024-11-11-software_ner_prod_en.md
new file mode 100644
index 00000000000000..304fef613f4f5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-software_ner_prod_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English software_ner_prod BertForTokenClassification from hadiaskari98
+author: John Snow Labs
+name: software_ner_prod
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`software_ner_prod` is a English model originally trained by hadiaskari98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/software_ner_prod_en_5.5.1_3.0_1731298584900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/software_ner_prod_en_5.5.1_3.0_1731298584900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|software_ner_prod|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/hadiaskari98/Software_NER_prod
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-software_ner_prod_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-software_ner_prod_pipeline_en.md
new file mode 100644
index 00000000000000..914e298fd6beab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-software_ner_prod_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English software_ner_prod_pipeline pipeline BertForTokenClassification from hadiaskari98
+author: John Snow Labs
+name: software_ner_prod_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`software_ner_prod_pipeline` is a English model originally trained by hadiaskari98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/software_ner_prod_pipeline_en_5.5.1_3.0_1731298649868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/software_ner_prod_pipeline_en_5.5.1_3.0_1731298649868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("software_ner_prod_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("software_ner_prod_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|software_ner_prod_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/hadiaskari98/Software_NER_prod
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base10_en.md b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base10_en.md
new file mode 100644
index 00000000000000..46612537643cc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English southern_sotho_mpnet_base10 MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: southern_sotho_mpnet_base10
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_mpnet_base10` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base10_en_5.5.1_3.0_1731301271163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base10_en_5.5.1_3.0_1731301271163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_mpnet_base10|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/st_mpnet_base10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base10_pipeline_en.md
new file mode 100644
index 00000000000000..cbf94edb9db76f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English southern_sotho_mpnet_base10_pipeline pipeline MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: southern_sotho_mpnet_base10_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_mpnet_base10_pipeline` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base10_pipeline_en_5.5.1_3.0_1731301299330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base10_pipeline_en_5.5.1_3.0_1731301299330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("southern_sotho_mpnet_base10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_mpnet_base10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_mpnet_base10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/st_mpnet_base10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base20_en.md b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base20_en.md
new file mode 100644
index 00000000000000..34e20462124c15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English southern_sotho_mpnet_base20 MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: southern_sotho_mpnet_base20
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_mpnet_base20` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base20_en_5.5.1_3.0_1731301543132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base20_en_5.5.1_3.0_1731301543132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_mpnet_base20|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/st_mpnet_base20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base20_pipeline_en.md
new file mode 100644
index 00000000000000..6243a692d93e7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English southern_sotho_mpnet_base20_pipeline pipeline MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: southern_sotho_mpnet_base20_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_mpnet_base20_pipeline` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base20_pipeline_en_5.5.1_3.0_1731301564358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base20_pipeline_en_5.5.1_3.0_1731301564358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("southern_sotho_mpnet_base20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_mpnet_base20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_mpnet_base20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/st_mpnet_base20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base_normal_en.md b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base_normal_en.md
new file mode 100644
index 00000000000000..fa19b9f0f12d22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base_normal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English southern_sotho_mpnet_base_normal MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: southern_sotho_mpnet_base_normal
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_mpnet_base_normal` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base_normal_en_5.5.1_3.0_1731301340152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base_normal_en_5.5.1_3.0_1731301340152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_mpnet_base_normal|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/st_mpnet_base_normal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base_normal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base_normal_pipeline_en.md
new file mode 100644
index 00000000000000..ccd69f639b6519
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-southern_sotho_mpnet_base_normal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English southern_sotho_mpnet_base_normal_pipeline pipeline MPNetForSequenceClassification from Saideepthi55
+author: John Snow Labs
+name: southern_sotho_mpnet_base_normal_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_mpnet_base_normal_pipeline` is a English model originally trained by Saideepthi55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base_normal_pipeline_en_5.5.1_3.0_1731301362624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_mpnet_base_normal_pipeline_en_5.5.1_3.0_1731301362624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("southern_sotho_mpnet_base_normal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_mpnet_base_normal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_mpnet_base_normal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Saideepthi55/st_mpnet_base_normal
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-spanish_medical_ner_es.md b/docs/_posts/ahmedlone127/2024-11-11-spanish_medical_ner_es.md
new file mode 100644
index 00000000000000..32940e8b7f748a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-spanish_medical_ner_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish spanish_medical_ner BertForTokenClassification from HUMADEX
+author: John Snow Labs
+name: spanish_medical_ner
+date: 2024-11-11
+tags: [es, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_medical_ner` is a Castilian, Spanish model originally trained by HUMADEX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_medical_ner_es_5.5.1_3.0_1731299312525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_medical_ner_es_5.5.1_3.0_1731299312525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_medical_ner|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/HUMADEX/spanish_medical_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-spanish_medical_ner_pipeline_es.md b/docs/_posts/ahmedlone127/2024-11-11-spanish_medical_ner_pipeline_es.md
new file mode 100644
index 00000000000000..9b0dd5371d3052
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-spanish_medical_ner_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish spanish_medical_ner_pipeline pipeline BertForTokenClassification from HUMADEX
+author: John Snow Labs
+name: spanish_medical_ner_pipeline
+date: 2024-11-11
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_medical_ner_pipeline` is a Castilian, Spanish model originally trained by HUMADEX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_medical_ner_pipeline_es_5.5.1_3.0_1731299333046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_medical_ner_pipeline_es_5.5.1_3.0_1731299333046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spanish_medical_ner_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spanish_medical_ner_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_medical_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/HUMADEX/spanish_medical_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sst2_benign_bert_uncased_en.md b/docs/_posts/ahmedlone127/2024-11-11-sst2_benign_bert_uncased_en.md
new file mode 100644
index 00000000000000..8a15ca8acffe06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sst2_benign_bert_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sst2_benign_bert_uncased BertForSequenceClassification from dilarayavuz
+author: John Snow Labs
+name: sst2_benign_bert_uncased
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_benign_bert_uncased` is a English model originally trained by dilarayavuz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_benign_bert_uncased_en_5.5.1_3.0_1731309631235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_benign_bert_uncased_en_5.5.1_3.0_1731309631235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_benign_bert_uncased|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/dilarayavuz/sst2-benign-bert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sst2_benign_bert_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sst2_benign_bert_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..622065dfccca22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sst2_benign_bert_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sst2_benign_bert_uncased_pipeline pipeline BertForSequenceClassification from dilarayavuz
+author: John Snow Labs
+name: sst2_benign_bert_uncased_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_benign_bert_uncased_pipeline` is a English model originally trained by dilarayavuz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_benign_bert_uncased_pipeline_en_5.5.1_3.0_1731309652958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_benign_bert_uncased_pipeline_en_5.5.1_3.0_1731309652958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst2_benign_bert_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst2_benign_bert_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_benign_bert_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/dilarayavuz/sst2-benign-bert-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sysformver1_en.md b/docs/_posts/ahmedlone127/2024-11-11-sysformver1_en.md
new file mode 100644
index 00000000000000..6df9fcc3dcdeab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sysformver1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sysformver1 BertForTokenClassification from blckwdw61
+author: John Snow Labs
+name: sysformver1
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sysformver1` is a English model originally trained by blckwdw61.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sysformver1_en_5.5.1_3.0_1731291183659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sysformver1_en_5.5.1_3.0_1731291183659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sysformver1|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/blckwdw61/sysformver1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-sysformver1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-sysformver1_pipeline_en.md
new file mode 100644
index 00000000000000..1b88c0aed34dec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-sysformver1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sysformver1_pipeline pipeline BertForTokenClassification from blckwdw61
+author: John Snow Labs
+name: sysformver1_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sysformver1_pipeline` is a English model originally trained by blckwdw61.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sysformver1_pipeline_en_5.5.1_3.0_1731291209752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sysformver1_pipeline_en_5.5.1_3.0_1731291209752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sysformver1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sysformver1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sysformver1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/blckwdw61/sysformver1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytest_en.md b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytest_en.md
new file mode 100644
index 00000000000000..0fe26267d56c1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytest_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testthesissmallfiftytest BertForTokenClassification from Nonzerophilip
+author: John Snow Labs
+name: testthesissmallfiftytest
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testthesissmallfiftytest` is a English model originally trained by Nonzerophilip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytest_en_5.5.1_3.0_1731285202383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytest_en_5.5.1_3.0_1731285202383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testthesissmallfiftytest|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/Nonzerophilip/testThesisSmallfiftyTEST
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytest_pipeline_en.md
new file mode 100644
index 00000000000000..2911e0f4f34e5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testthesissmallfiftytest_pipeline pipeline BertForTokenClassification from Nonzerophilip
+author: John Snow Labs
+name: testthesissmallfiftytest_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testthesissmallfiftytest_pipeline` is a English model originally trained by Nonzerophilip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytest_pipeline_en_5.5.1_3.0_1731285227026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytest_pipeline_en_5.5.1_3.0_1731285227026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testthesissmallfiftytest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testthesissmallfiftytest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testthesissmallfiftytest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/Nonzerophilip/testThesisSmallfiftyTEST
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytestaugfivegpt_en.md b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytestaugfivegpt_en.md
new file mode 100644
index 00000000000000..3ab88e365824f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytestaugfivegpt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testthesissmallfiftytestaugfivegpt BertForTokenClassification from Nonzerophilip
+author: John Snow Labs
+name: testthesissmallfiftytestaugfivegpt
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testthesissmallfiftytestaugfivegpt` is a English model originally trained by Nonzerophilip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytestaugfivegpt_en_5.5.1_3.0_1731285482289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytestaugfivegpt_en_5.5.1_3.0_1731285482289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testthesissmallfiftytestaugfivegpt|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/Nonzerophilip/testThesisSmallfiftyTESTAugfiveGPT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytestaugfivegpt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytestaugfivegpt_pipeline_en.md
new file mode 100644
index 00000000000000..dcdddde4fb8a3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-testthesissmallfiftytestaugfivegpt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testthesissmallfiftytestaugfivegpt_pipeline pipeline BertForTokenClassification from Nonzerophilip
+author: John Snow Labs
+name: testthesissmallfiftytestaugfivegpt_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testthesissmallfiftytestaugfivegpt_pipeline` is a English model originally trained by Nonzerophilip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytestaugfivegpt_pipeline_en_5.5.1_3.0_1731285506982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testthesissmallfiftytestaugfivegpt_pipeline_en_5.5.1_3.0_1731285506982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testthesissmallfiftytestaugfivegpt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testthesissmallfiftytestaugfivegpt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testthesissmallfiftytestaugfivegpt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/Nonzerophilip/testThesisSmallfiftyTESTAugfiveGPT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-tinybert_keyword_en.md b/docs/_posts/ahmedlone127/2024-11-11-tinybert_keyword_en.md
new file mode 100644
index 00000000000000..9b8182548bfd73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-tinybert_keyword_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tinybert_keyword BertForTokenClassification from nirusanan
+author: John Snow Labs
+name: tinybert_keyword
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_keyword` is a English model originally trained by nirusanan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_keyword_en_5.5.1_3.0_1731290570020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_keyword_en_5.5.1_3.0_1731290570020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_keyword|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|53.9 MB|
+
+## References
+
+https://huggingface.co/nirusanan/tinyBert-keyword
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-tinybert_keyword_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-tinybert_keyword_pipeline_en.md
new file mode 100644
index 00000000000000..6e24c0b8d71454
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-tinybert_keyword_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tinybert_keyword_pipeline pipeline BertForTokenClassification from nirusanan
+author: John Snow Labs
+name: tinybert_keyword_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_keyword_pipeline` is a English model originally trained by nirusanan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_keyword_pipeline_en_5.5.1_3.0_1731290572847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_keyword_pipeline_en_5.5.1_3.0_1731290572847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tinybert_keyword_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tinybert_keyword_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_keyword_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|53.9 MB|
+
+## References
+
+https://huggingface.co/nirusanan/tinyBert-keyword
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-token_classification_wnut_en.md b/docs/_posts/ahmedlone127/2024-11-11-token_classification_wnut_en.md
new file mode 100644
index 00000000000000..cc75f3d6017e56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-token_classification_wnut_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English token_classification_wnut BertForTokenClassification from StatsGary
+author: John Snow Labs
+name: token_classification_wnut
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_classification_wnut` is a English model originally trained by StatsGary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_classification_wnut_en_5.5.1_3.0_1731290160734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_classification_wnut_en_5.5.1_3.0_1731290160734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_classification_wnut|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/StatsGary/token_classification_wnut
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-token_classification_wnut_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-token_classification_wnut_pipeline_en.md
new file mode 100644
index 00000000000000..420e8725a1dc31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-token_classification_wnut_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English token_classification_wnut_pipeline pipeline BertForTokenClassification from StatsGary
+author: John Snow Labs
+name: token_classification_wnut_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_classification_wnut_pipeline` is a English model originally trained by StatsGary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_classification_wnut_pipeline_en_5.5.1_3.0_1731290224907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_classification_wnut_pipeline_en_5.5.1_3.0_1731290224907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("token_classification_wnut_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("token_classification_wnut_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_classification_wnut_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/StatsGary/token_classification_wnut
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-unified_skill_ner_echo_en.md b/docs/_posts/ahmedlone127/2024-11-11-unified_skill_ner_echo_en.md
new file mode 100644
index 00000000000000..8a5a646aabe269
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-unified_skill_ner_echo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English unified_skill_ner_echo BertForTokenClassification from ledigajobb
+author: John Snow Labs
+name: unified_skill_ner_echo
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unified_skill_ner_echo` is a English model originally trained by ledigajobb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unified_skill_ner_echo_en_5.5.1_3.0_1731298457277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unified_skill_ner_echo_en_5.5.1_3.0_1731298457277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unified_skill_ner_echo|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|465.5 MB|
+
+## References
+
+https://huggingface.co/ledigajobb/unified_skill_ner_echo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-unified_skill_ner_echo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-unified_skill_ner_echo_pipeline_en.md
new file mode 100644
index 00000000000000..ca82b108bc2710
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-unified_skill_ner_echo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English unified_skill_ner_echo_pipeline pipeline BertForTokenClassification from ledigajobb
+author: John Snow Labs
+name: unified_skill_ner_echo_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unified_skill_ner_echo_pipeline` is a English model originally trained by ledigajobb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unified_skill_ner_echo_pipeline_en_5.5.1_3.0_1731298481375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unified_skill_ner_echo_pipeline_en_5.5.1_3.0_1731298481375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("unified_skill_ner_echo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("unified_skill_ner_echo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unified_skill_ner_echo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.5 MB|
+
+## References
+
+https://huggingface.co/ledigajobb/unified_skill_ner_echo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-unitku_hubert_japanese_asr_ja.md b/docs/_posts/ahmedlone127/2024-11-11-unitku_hubert_japanese_asr_ja.md
new file mode 100644
index 00000000000000..417b3e2e316059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-unitku_hubert_japanese_asr_ja.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Japanese unitku_hubert_japanese_asr HubertForCTC from TKU410410103
+author: John Snow Labs
+name: unitku_hubert_japanese_asr
+date: 2024-11-11
+tags: [ja, open_source, onnx, asr, hubert]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: HubertForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unitku_hubert_japanese_asr` is a Japanese model originally trained by TKU410410103.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unitku_hubert_japanese_asr_ja_5.5.1_3.0_1731284872906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unitku_hubert_japanese_asr_ja_5.5.1_3.0_1731284872906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unitku_hubert_japanese_asr|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ja|
+|Size:|708.5 MB|
+
+## References
+
+https://huggingface.co/TKU410410103/uniTKU-hubert-japanese-asr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-unitku_hubert_japanese_asr_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-11-11-unitku_hubert_japanese_asr_pipeline_ja.md
new file mode 100644
index 00000000000000..dc49a94087aae7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-unitku_hubert_japanese_asr_pipeline_ja.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Japanese unitku_hubert_japanese_asr_pipeline pipeline HubertForCTC from TKU410410103
+author: John Snow Labs
+name: unitku_hubert_japanese_asr_pipeline
+date: 2024-11-11
+tags: [ja, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unitku_hubert_japanese_asr_pipeline` is a Japanese model originally trained by TKU410410103.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unitku_hubert_japanese_asr_pipeline_ja_5.5.1_3.0_1731284908856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unitku_hubert_japanese_asr_pipeline_ja_5.5.1_3.0_1731284908856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("unitku_hubert_japanese_asr_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("unitku_hubert_japanese_asr_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unitku_hubert_japanese_asr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|708.5 MB|
+
+## References
+
+https://huggingface.co/TKU410410103/uniTKU-hubert-japanese-asr
+
+## Included Models
+
+- AudioAssembler
+- HubertForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-welt_biobert_ncbi_en.md b/docs/_posts/ahmedlone127/2024-11-11-welt_biobert_ncbi_en.md
new file mode 100644
index 00000000000000..6b45f66b9da41b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-welt_biobert_ncbi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English welt_biobert_ncbi BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: welt_biobert_ncbi
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`welt_biobert_ncbi` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/welt_biobert_ncbi_en_5.5.1_3.0_1731285897383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/welt_biobert_ncbi_en_5.5.1_3.0_1731285897383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|welt_biobert_ncbi|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WELT-BioBERT-NCBI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-welt_biobert_ncbi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-welt_biobert_ncbi_pipeline_en.md
new file mode 100644
index 00000000000000..7a02552d647c15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-welt_biobert_ncbi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English welt_biobert_ncbi_pipeline pipeline BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: welt_biobert_ncbi_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`welt_biobert_ncbi_pipeline` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/welt_biobert_ncbi_pipeline_en_5.5.1_3.0_1731285921198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/welt_biobert_ncbi_pipeline_en_5.5.1_3.0_1731285921198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("welt_biobert_ncbi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("welt_biobert_ncbi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|welt_biobert_ncbi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WELT-BioBERT-NCBI
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_base_common_voice_arabic11_0_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_base_common_voice_arabic11_0_en.md
new file mode 100644
index 00000000000000..d72472c08a233d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_base_common_voice_arabic11_0_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_base_common_voice_arabic11_0 WhisperForCTC from Abdo96
+author: John Snow Labs
+name: whisper_base_common_voice_arabic11_0
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_common_voice_arabic11_0` is a English model originally trained by Abdo96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_arabic11_0_en_5.5.1_3.0_1731304414617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_arabic11_0_en_5.5.1_3.0_1731304414617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_common_voice_arabic11_0|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|642.3 MB|
+
+## References
+
+https://huggingface.co/Abdo96/whisper-base-common-voice-Arabic11.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_base_common_voice_arabic11_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_base_common_voice_arabic11_0_pipeline_en.md
new file mode 100644
index 00000000000000..e6395ff989f713
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_base_common_voice_arabic11_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_common_voice_arabic11_0_pipeline pipeline WhisperForCTC from Abdo96
+author: John Snow Labs
+name: whisper_base_common_voice_arabic11_0_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_common_voice_arabic11_0_pipeline` is a English model originally trained by Abdo96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_arabic11_0_pipeline_en_5.5.1_3.0_1731304449172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_arabic11_0_pipeline_en_5.5.1_3.0_1731304449172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_common_voice_arabic11_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_common_voice_arabic11_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_common_voice_arabic11_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.4 MB|
+
+## References
+
+https://huggingface.co/Abdo96/whisper-base-common-voice-Arabic11.0
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_base_hungarian_v1_hu.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_base_hungarian_v1_hu.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_base_hungarian_v1_hu.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hungarian whisper_base_hungarian_v1 WhisperForCTC from sarpba
+author: John Snow Labs
+name: whisper_base_hungarian_v1
+date: 2024-11-11
+tags: [hu, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_hungarian_v1` is a Hungarian model originally trained by sarpba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_hungarian_v1_hu_5.5.1_3.0_1731304667467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_hungarian_v1_hu_5.5.1_3.0_1731304667467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_finetuned_atcosim|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/bhattasp/whisper-finetuned-atcosim
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_finetuned_atcosim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_finetuned_atcosim_pipeline_en.md
new file mode 100644
index 00000000000000..4ea36338ea9182
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_finetuned_atcosim_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_finetuned_atcosim_pipeline pipeline WhisperForCTC from bhattasp
+author: John Snow Labs
+name: whisper_finetuned_atcosim_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_finetuned_atcosim_pipeline` is a English model originally trained by bhattasp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_finetuned_atcosim_pipeline_en_5.5.1_3.0_1731304954819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_finetuned_atcosim_pipeline_en_5.5.1_3.0_1731304954819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_finetuned_atcosim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_finetuned_atcosim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_finetuned_atcosim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/bhattasp/whisper-finetuned-atcosim
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_medium_latvian_ver2_lv.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_medium_latvian_ver2_lv.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_medium_latvian_ver2_lv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Latvian whisper_medium_latvian_ver2 WhisperForCTC from FelixK7
+author: John Snow Labs
+name: whisper_medium_latvian_ver2
+date: 2024-11-11
+tags: [lv, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: lv
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_medium_latvian_ver2` is a Latvian model originally trained by FelixK7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_medium_latvian_ver2_lv_5.5.1_3.0_1731305211676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_medium_latvian_ver2_lv_5.5.1_3.0_1731305211676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_omg|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/nurzhanit/whisper-omg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_omg_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_omg_pipeline_hi.md
new file mode 100644
index 00000000000000..ce99657ac4eb4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_omg_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_omg_pipeline pipeline WhisperForCTC from nurzhanit
+author: John Snow Labs
+name: whisper_omg_pipeline
+date: 2024-11-11
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_omg_pipeline` is a Hindi model originally trained by nurzhanit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_omg_pipeline_hi_5.5.1_3.0_1731303281350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_omg_pipeline_hi_5.5.1_3.0_1731303281350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_omg_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_omg_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_omg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/nurzhanit/whisper-omg
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_arabic_augmentation_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_arabic_augmentation_en.md
new file mode 100644
index 00000000000000..f3ce10b617691e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_arabic_augmentation_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_arabic_augmentation WhisperForCTC from MohammedNasri
+author: John Snow Labs
+name: whisper_small_arabic_augmentation
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_augmentation` is a English model originally trained by MohammedNasri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_augmentation_en_5.5.1_3.0_1731302625589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_augmentation_en_5.5.1_3.0_1731302625589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabic_augmentation|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/MohammedNasri/whisper_small_ar_augmentation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_arabic_augmentation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_arabic_augmentation_pipeline_en.md
new file mode 100644
index 00000000000000..ab9d01e35faf54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_arabic_augmentation_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_arabic_augmentation_pipeline pipeline WhisperForCTC from MohammedNasri
+author: John Snow Labs
+name: whisper_small_arabic_augmentation_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_augmentation_pipeline` is a English model originally trained by MohammedNasri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_augmentation_pipeline_en_5.5.1_3.0_1731302718291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_augmentation_pipeline_en_5.5.1_3.0_1731302718291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_arabic_augmentation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_arabic_augmentation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabic_augmentation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/MohammedNasri/whisper_small_ar_augmentation
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_dutch_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_dutch_en.md
new file mode 100644
index 00000000000000..a5606e6acd2baf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_dutch_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_dutch WhisperForCTC from qmeeus
+author: John Snow Labs
+name: whisper_small_dutch
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_dutch` is a English model originally trained by qmeeus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_dutch_en_5.5.1_3.0_1731306172648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_dutch_en_5.5.1_3.0_1731306172648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_dutch|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/qmeeus/whisper-small-nl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_dutch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_dutch_pipeline_en.md
new file mode 100644
index 00000000000000..d355242f419804
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_dutch_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_dutch_pipeline pipeline WhisperForCTC from qmeeus
+author: John Snow Labs
+name: whisper_small_dutch_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_dutch_pipeline` is a English model originally trained by qmeeus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_dutch_pipeline_en_5.5.1_3.0_1731306257048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_dutch_pipeline_en_5.5.1_3.0_1731306257048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_dutch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_dutch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_dutch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/qmeeus/whisper-small-nl
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_english_crossdelenna_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_english_crossdelenna_en.md
new file mode 100644
index 00000000000000..fb907989258e1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_english_crossdelenna_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_english_crossdelenna WhisperForCTC from crossdelenna
+author: John Snow Labs
+name: whisper_small_english_crossdelenna
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_english_crossdelenna` is a English model originally trained by crossdelenna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_english_crossdelenna_en_5.5.1_3.0_1731303622627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_english_crossdelenna_en_5.5.1_3.0_1731303622627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_english_crossdelenna|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/crossdelenna/whisper-small.en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_english_crossdelenna_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_english_crossdelenna_pipeline_en.md
new file mode 100644
index 00000000000000..d42e75e87eb373
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_english_crossdelenna_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_english_crossdelenna_pipeline pipeline WhisperForCTC from crossdelenna
+author: John Snow Labs
+name: whisper_small_english_crossdelenna_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_english_crossdelenna_pipeline` is a English model originally trained by crossdelenna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_english_crossdelenna_pipeline_en_5.5.1_3.0_1731303710904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_english_crossdelenna_pipeline_en_5.5.1_3.0_1731303710904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_english_crossdelenna_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_english_crossdelenna_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_english_crossdelenna_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/crossdelenna/whisper-small.en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_french_uncased_fr.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_french_uncased_fr.md
new file mode 100644
index 00000000000000..9159fcdc8de494
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_french_uncased_fr.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: French whisper_small_french_uncased WhisperForCTC from qanastek
+author: John Snow Labs
+name: whisper_small_french_uncased
+date: 2024-11-11
+tags: [fr, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: fr
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_french_uncased` is a French model originally trained by qanastek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_french_uncased_fr_5.5.1_3.0_1731305584943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_french_uncased_fr_5.5.1_3.0_1731305584943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yt|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/PatrickML/whisper_small_yt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_small_yt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_yt_pipeline_en.md
new file mode 100644
index 00000000000000..0418dc7ef2e35e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_small_yt_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_yt_pipeline pipeline WhisperForCTC from PatrickML
+author: John Snow Labs
+name: whisper_small_yt_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_yt_pipeline` is a English model originally trained by PatrickML.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_yt_pipeline_en_5.5.1_3.0_1731304293862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_yt_pipeline_en_5.5.1_3.0_1731304293862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_yt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_yt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/PatrickML/whisper_small_yt
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_amharic_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_amharic_en.md
new file mode 100644
index 00000000000000..27666684376da2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_amharic_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_amharic WhisperForCTC from Gizachew
+author: John Snow Labs
+name: whisper_tiny_amharic
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_amharic` is a English model originally trained by Gizachew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_amharic_en_5.5.1_3.0_1731302156104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_amharic_en_5.5.1_3.0_1731302156104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_amharic|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.2 MB|
+
+## References
+
+https://huggingface.co/Gizachew/whisper-tiny-amharic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_amharic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_amharic_pipeline_en.md
new file mode 100644
index 00000000000000..9c1d7e76a23b07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_amharic_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_amharic_pipeline pipeline WhisperForCTC from Gizachew
+author: John Snow Labs
+name: whisper_tiny_amharic_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_amharic_pipeline` is a English model originally trained by Gizachew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_amharic_pipeline_en_5.5.1_3.0_1731302179868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_amharic_pipeline_en_5.5.1_3.0_1731302179868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_amharic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_amharic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_amharic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.2 MB|
+
+## References
+
+https://huggingface.co/Gizachew/whisper-tiny-amharic
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_arabic_ar.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_arabic_ar.md
new file mode 100644
index 00000000000000..3d4c57db055fc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_arabic_ar.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Arabic whisper_tiny_arabic WhisperForCTC from Yassinevic
+author: John Snow Labs
+name: whisper_tiny_arabic
+date: 2024-11-11
+tags: [ar, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_arabic` is a Arabic model originally trained by Yassinevic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_arabic_ar_5.5.1_3.0_1731302665054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_arabic_ar_5.5.1_3.0_1731302665054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_chinese_antares28|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Antares28/whisper-tiny-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_chinese_antares28_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_chinese_antares28_pipeline_en.md
new file mode 100644
index 00000000000000..870ef5a471d8f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_chinese_antares28_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_chinese_antares28_pipeline pipeline WhisperForCTC from Antares28
+author: John Snow Labs
+name: whisper_tiny_chinese_antares28_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_chinese_antares28_pipeline` is a English model originally trained by Antares28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_antares28_pipeline_en_5.5.1_3.0_1731305777373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_antares28_pipeline_en_5.5.1_3.0_1731305777373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_chinese_antares28_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_chinese_antares28_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_chinese_antares28_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Antares28/whisper-tiny-zh
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_nob_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_nob_en.md
new file mode 100644
index 00000000000000..1a9a08d9d62c8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_nob_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_nob WhisperForCTC from NbAiLab
+author: John Snow Labs
+name: whisper_tiny_nob
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_nob` is a English model originally trained by NbAiLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_nob_en_5.5.1_3.0_1731303096066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_nob_en_5.5.1_3.0_1731303096066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_nob|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/NbAiLab/whisper-tiny-nob
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_nob_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_nob_pipeline_en.md
new file mode 100644
index 00000000000000..16a1fec2c833c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_nob_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_nob_pipeline pipeline WhisperForCTC from NbAiLab
+author: John Snow Labs
+name: whisper_tiny_nob_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_nob_pipeline` is a English model originally trained by NbAiLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_nob_pipeline_en_5.5.1_3.0_1731303117221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_nob_pipeline_en_5.5.1_3.0_1731303117221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_nob_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_nob_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_nob_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/NbAiLab/whisper-tiny-nob
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_v2_2_romanian_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_v2_2_romanian_en.md
new file mode 100644
index 00000000000000..fa824e6d0d9ca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_v2_2_romanian_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_v2_2_romanian WhisperForCTC from giigii91
+author: John Snow Labs
+name: whisper_tiny_v2_2_romanian
+date: 2024-11-11
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_v2_2_romanian` is a English model originally trained by giigii91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_v2_2_romanian_en_5.5.1_3.0_1731302411636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_v2_2_romanian_en_5.5.1_3.0_1731302411636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_v2_2_romanian|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|374.7 MB|
+
+## References
+
+https://huggingface.co/giigii91/whisper-tiny_v2.2-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_v2_2_romanian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_v2_2_romanian_pipeline_en.md
new file mode 100644
index 00000000000000..9ee97f1589783a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-whisper_tiny_v2_2_romanian_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_v2_2_romanian_pipeline pipeline WhisperForCTC from giigii91
+author: John Snow Labs
+name: whisper_tiny_v2_2_romanian_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_v2_2_romanian_pipeline` is a English model originally trained by giigii91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_v2_2_romanian_pipeline_en_5.5.1_3.0_1731302438168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_v2_2_romanian_pipeline_en_5.5.1_3.0_1731302438168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_v2_2_romanian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_v2_2_romanian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_v2_2_romanian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|374.7 MB|
+
+## References
+
+https://huggingface.co/giigii91/whisper-tiny_v2.2-ro
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-workprocess_24_10_01_en.md b/docs/_posts/ahmedlone127/2024-11-11-workprocess_24_10_01_en.md
new file mode 100644
index 00000000000000..4b669d94a3965f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-workprocess_24_10_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English workprocess_24_10_01 BertForSequenceClassification from shshin0317
+author: John Snow Labs
+name: workprocess_24_10_01
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`workprocess_24_10_01` is a English model originally trained by shshin0317.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/workprocess_24_10_01_en_5.5.1_3.0_1731309636847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/workprocess_24_10_01_en_5.5.1_3.0_1731309636847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|workprocess_24_10_01|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/shshin0317/workprocess_24_10_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-workprocess_24_10_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-workprocess_24_10_01_pipeline_en.md
new file mode 100644
index 00000000000000..76ac4fd47a25ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-workprocess_24_10_01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English workprocess_24_10_01_pipeline pipeline BertForSequenceClassification from shshin0317
+author: John Snow Labs
+name: workprocess_24_10_01_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`workprocess_24_10_01_pipeline` is a English model originally trained by shshin0317.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/workprocess_24_10_01_pipeline_en_5.5.1_3.0_1731309664028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/workprocess_24_10_01_pipeline_en_5.5.1_3.0_1731309664028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("workprocess_24_10_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("workprocess_24_10_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|workprocess_24_10_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/shshin0317/workprocess_24_10_01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_cebinary_vmo2_large_3_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_cebinary_vmo2_large_3_en.md
new file mode 100644
index 00000000000000..0304b680ab9936
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_cebinary_vmo2_large_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_cebinary_vmo2_large_3 MPNetForSequenceClassification from enochlev
+author: John Snow Labs
+name: xlm_cebinary_vmo2_large_3
+date: 2024-11-11
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_cebinary_vmo2_large_3` is a English model originally trained by enochlev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_cebinary_vmo2_large_3_en_5.5.1_3.0_1731301250606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_cebinary_vmo2_large_3_en_5.5.1_3.0_1731301250606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_cebinary_vmo2_large_3|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/enochlev/XLM-CEBinary-VMO2-large-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_cebinary_vmo2_large_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_cebinary_vmo2_large_3_pipeline_en.md
new file mode 100644
index 00000000000000..e5ae9d36ca4bd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_cebinary_vmo2_large_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_cebinary_vmo2_large_3_pipeline pipeline MPNetForSequenceClassification from enochlev
+author: John Snow Labs
+name: xlm_cebinary_vmo2_large_3_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_cebinary_vmo2_large_3_pipeline` is a English model originally trained by enochlev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_cebinary_vmo2_large_3_pipeline_en_5.5.1_3.0_1731301272226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_cebinary_vmo2_large_3_pipeline_en_5.5.1_3.0_1731301272226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_cebinary_vmo2_large_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_cebinary_vmo2_large_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_cebinary_vmo2_large_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/enochlev/XLM-CEBinary-VMO2-large-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_conll2003_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_conll2003_en.md
new file mode 100644
index 00000000000000..f08eb1efd9d2ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_conll2003_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_conll2003 XlmRoBertaForTokenClassification from Amir13
+author: John Snow Labs
+name: xlm_roberta_base_conll2003
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_conll2003` is a English model originally trained by Amir13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_conll2003_en_5.5.1_3.0_1731293705042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_conll2003_en_5.5.1_3.0_1731293705042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_conll2003|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/Amir13/xlm-roberta-base-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_conll2003_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_conll2003_pipeline_en.md
new file mode 100644
index 00000000000000..97ba29a24389e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_conll2003_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_conll2003_pipeline pipeline XlmRoBertaForTokenClassification from Amir13
+author: John Snow Labs
+name: xlm_roberta_base_conll2003_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_conll2003_pipeline` is a English model originally trained by Amir13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_conll2003_pipeline_en_5.5.1_3.0_1731293773356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_conll2003_pipeline_en_5.5.1_3.0_1731293773356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_conll2003_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_conll2003_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_conll2003_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/Amir13/xlm-roberta-base-conll2003
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_en.md
new file mode 100644
index 00000000000000..857973173c127a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_0ppxnhximxr XlmRoBertaForTokenClassification from 0ppxnhximxr
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_0ppxnhximxr
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_0ppxnhximxr` is a English model originally trained by 0ppxnhximxr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_en_5.5.1_3.0_1731293742525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_en_5.5.1_3.0_1731293742525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_0ppxnhximxr|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/0ppxnhximxr/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline_en.md
new file mode 100644
index 00000000000000..e5f51a292de85e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline pipeline XlmRoBertaForTokenClassification from 0ppxnhximxr
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline` is a English model originally trained by 0ppxnhximxr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline_en_5.5.1_3.0_1731293829031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline_en_5.5.1_3.0_1731293829031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_0ppxnhximxr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/0ppxnhximxr/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_skr3178_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_skr3178_en.md
new file mode 100644
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+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_skr3178_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_skr3178 XlmRoBertaForTokenClassification from skr3178
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_skr3178
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_skr3178` is a English model originally trained by skr3178.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr3178_en_5.5.1_3.0_1731293331803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr3178_en_5.5.1_3.0_1731293331803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_skr3178|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/skr3178/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_skr3178_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_skr3178_pipeline_en.md
new file mode 100644
index 00000000000000..a392c47aa99014
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_roberta_base_finetuned_panx_german_skr3178_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_skr3178_pipeline pipeline XlmRoBertaForTokenClassification from skr3178
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_skr3178_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_skr3178_pipeline` is a English model originally trained by skr3178.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr3178_pipeline_en_5.5.1_3.0_1731293402415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_skr3178_pipeline_en_5.5.1_3.0_1731293402415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_skr3178_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_skr3178_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_skr3178_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/skr3178/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_word_shopsign_pretrained_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_word_shopsign_pretrained_en.md
new file mode 100644
index 00000000000000..fee4f4bd6ab09a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_word_shopsign_pretrained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_word_shopsign_pretrained XlmRoBertaForTokenClassification from HyungYoun
+author: John Snow Labs
+name: xlm_word_shopsign_pretrained
+date: 2024-11-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_word_shopsign_pretrained` is a English model originally trained by HyungYoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_word_shopsign_pretrained_en_5.5.1_3.0_1731293658556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_word_shopsign_pretrained_en_5.5.1_3.0_1731293658556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_word_shopsign_pretrained|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|794.3 MB|
+
+## References
+
+https://huggingface.co/HyungYoun/xlm-word-shopsign-pretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-11-11-xlm_word_shopsign_pretrained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-11-11-xlm_word_shopsign_pretrained_pipeline_en.md
new file mode 100644
index 00000000000000..7315a5c1e26498
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-11-11-xlm_word_shopsign_pretrained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_word_shopsign_pretrained_pipeline pipeline XlmRoBertaForTokenClassification from HyungYoun
+author: John Snow Labs
+name: xlm_word_shopsign_pretrained_pipeline
+date: 2024-11-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_word_shopsign_pretrained_pipeline` is a English model originally trained by HyungYoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_word_shopsign_pretrained_pipeline_en_5.5.1_3.0_1731293795355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_word_shopsign_pretrained_pipeline_en_5.5.1_3.0_1731293795355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_word_shopsign_pretrained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_word_shopsign_pretrained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_word_shopsign_pretrained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.3 MB|
+
+## References
+
+https://huggingface.co/HyungYoun/xlm-word-shopsign-pretrained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file