2024-07-16-snowflake_artic_m_en (#14352)

* Add model 2024-08-12-t5_small_codesearchnet_python_stripped_pipeline_en

* Add model 2024-08-12-t5_small_codesearchnet_python_stripped_en

* Add model 2024-08-12-flan_t5_large_qr_pipeline_en

* Add model 2024-08-12-t5_60m_poli_aff_2020_en

* Add model 2024-08-12-ptt5_xlsumm_temario_en

* Add model 2024-08-12-t5_base_finetuned_spanish_tonga_tonga_islands_cbv_en

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* Add model 2024-08-12-augmented_data_with_edge_document_level_t5_run3_sheoran95_pipeline_en

* Add model 2024-08-12-t5_base_finetuned_spanish_tonga_tonga_islands_cbv_pipeline_en

* Add model 2024-08-12-ptt5_xlsumm_temario_pipeline_en

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* Add model 2024-08-12-t5_small_finetuned_english_tonga_tonga_islands_romanian_singhajeet13_en

* Add model 2024-08-12-t5_small_finetuned_english_tonga_tonga_islands_romanian_singhajeet13_pipeline_en

* Add model 2024-08-12-burmese_awesome_third_model_en

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* Add model 2024-08-12-mt5_small_finetuned_amazon_english_spanish_chauhanvipul_pipeline_en

* Add model 2024-08-12-mt5_small_finetuned_amazon_english_spanish_chauhanvipul_en

* Add model 2024-08-12-mt5_small_esquad_qg_trimmed_spanish_10000_en

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* Add model 2024-08-12-mt5_small_finetuned_mt5_small_v1_pipeline_en

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* Add model 2024-08-12-semeval2023_clickbait_flan_t5_large_seed43_en

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* Add model 2024-08-12-cs505_coqe_vit5_prompting16_aspol_check_en

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* Add model 2024-08-12-t5_effecient_nl2_en

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* Add model 2024-08-12-t5_effecient_nl2_pipeline_en

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* Add model 2024-08-12-mt5_small_finetuned_amazon_english_spanish_nugget00_en

* Add model 2024-08-12-mt5_small_finetuned_amazon_english_spanish_nugget00_pipeline_en

* Add model 2024-08-12-scores_flan_t5_large_11_12_en

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* Add model 2024-08-12-t5_small_codesearchnet_multilang_python_java_javascript_go_en

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* Add model 2024-08-12-t5_small_codesearchnet_multilang_python_java_javascript_go_pipeline_en

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* Add model 2024-08-12-feedbacksummarizerenterpret_pipeline_en

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* Add model 2024-08-12-awesome_flant5_pipeline_en

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* Add model 2024-08-12-t5_small_finetuned_english_tonga_tonga_islands_french_popottesmaster_en

* Add model 2024-08-12-t5_v1_1_base_finetuned_english_tonga_tonga_islands_german_ad_iiitd_en

* Add model 2024-08-12-mt5_keep_training_pipeline_en

* Add model 2024-08-12-t5_small_finetuned_xsum_benagi2002_en

* Add model 2024-08-12-t5_v1_1_base_finetuned_english_tonga_tonga_islands_german_ad_iiitd_pipeline_en

* Add model 2024-08-12-t5_base_finetuned_xsum_jigglypuff77_en

* Add model 2024-08-12-t5_base_finetuned_xsum_jigglypuff77_pipeline_en

* Add model 2024-08-12-t5_60m_lm_wmt_2019_11_en

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* Add model 2024-08-12-t5_60m_lm_wmt_2019_11_pipeline_en

* Add model 2024-08-12-t5_small_finetuned_xsum_benagi2002_pipeline_en

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* Add model 2024-08-12-english_vietnamese_envit5_base_doc_train_en

* Add model 2024-08-12-english_vietnamese_envit5_base_doc_train_pipeline_en

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* Add model 2024-08-12-kltn_coqe_vit5_total_psoal_v3_en

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* Add model 2024-08-12-working_samanjoy2_en

* Add model 2024-08-12-working_samanjoy2_pipeline_en

* Add model 2024-08-12-t5small_model3_decay_001_finetuned_english_tonga_tonga_islands_german_en

* Add model 2024-08-12-mt5_multitask_en

* Add model 2024-08-12-t5small_model3_decay_001_finetuned_english_tonga_tonga_islands_german_pipeline_en

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* Add model 2024-08-12-vietnamese_english_mt5_base_news_train_pipeline_en

* Add model 2024-08-12-t5_60m_lm_wmt_2020_5_en

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* Add model 2024-08-12-mt5_large_norwegian_info_extraction_200_no

* Add model 2024-08-12-billsum_4500_t5_base_en

* Add model 2024-08-12-afrimt5_english_tsn_news_en

* Add model 2024-08-12-mt5_large_norwegian_info_extraction_200_pipeline_no

* Add model 2024-08-12-billsum_4500_t5_base_pipeline_en

* Add model 2024-08-12-burmese_awesome_opus_books_model_taspips_pipeline_en

* Add model 2024-08-12-salient_aiflan_t5_base_en

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* Add model 2024-08-12-munna_bhai_mbbs_model_08_12_pipeline_en

* Add model 2024-08-12-summarization_violetamaral_pipeline_en

* Add model 2024-08-12-mt5_small_finetuned_amazon_english_spanish_miguelangelocwb_en

* Add model 2024-08-12-mt5_small_finetuned_amazon_english_spanish_miguelangelocwb_pipeline_en

* Add model 2024-08-12-afrimt5_english_tsn_news_pipeline_en

* Add model 2024-08-12-finetune_ttkg_t5_tiny_standard_bahasa_cased_en

* Add model 2024-08-12-vietnamese_english_mt5_base_news_train_en

* Add model 2024-08-12-salient_aiflan_t5_base_pipeline_en

* Add model 2024-08-12-mt5_base_trimmed_japanese_120000_en

* Add model 2024-08-12-mt5_base_trimmed_japanese_120000_pipeline_en

* Add model 2024-08-12-pubmedul2_mini_nl8_en

* Add model 2024-08-12-t5_60m_lm_wmt_2018_7_en

* Add model 2024-08-12-pubmedul2_mini_nl8_pipeline_en

* Add model 2024-08-12-t5_small_few_shot_k_1024_finetuned_squad_seed_4_en

* Add model 2024-08-12-t5_small_few_shot_k_1024_finetuned_squad_seed_4_pipeline_en

* Add model 2024-08-12-t5_60m_lm_wmt_2018_7_pipeline_en

* Add model 2024-08-12-t5_base_samsumgen_xsum_conv_seed42_en

* Add model 2024-08-12-t5_small_asqa_ob_pipeline_en

* Add model 2024-08-12-t5_summarization_one_shot_base_random_en

* Add model 2024-08-12-t5_base_samsumgen_xsum_conv_seed42_pipeline_en

* Add model 2024-08-12-t5_summarization_one_shot_base_random_pipeline_en

* Add model 2024-08-12-t5base_billsum_10000_1024_256_en

* Add model 2024-08-12-t5base_billsum_10000_1024_256_pipeline_en

* Add model 2024-08-12-t5_small_asqa_ob_en

* Add model 2024-08-12-flant5_offensive_translation_german_english_wmt_en

* Add model 2024-08-12-mt5meu900_en

* Add model 2024-08-12-flant5_offensive_translation_german_english_wmt_pipeline_en

* Add model 2024-08-12-mt5meu900_pipeline_en

* Add model 2024-08-12-summarizer_google_long_t5_tglobal_base_base_background_conclusion_en

* Add model 2024-08-12-french_summary_ptt5_xsum_en

* Add model 2024-08-12-summarizer_google_long_t5_tglobal_base_base_background_conclusion_pipeline_en

* Add model 2024-08-12-doc2query_ppo_msmarco_128_4096_en

* Add model 2024-08-12-french_summary_ptt5_xsum_pipeline_en

* Add model 2024-08-12-doc2query_ppo_msmarco_128_4096_pipeline_en

* Add model 2024-08-12-preasm_large_iirc_retrieved_en

* Add model 2024-08-12-preasm_large_iirc_retrieved_pipeline_en

* Add model 2024-08-12-mt5_small_finetuned_amazon_english_spanish_ammar_amjad_en

---------

Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>

docs/_posts/ahmedlone127/2024-07-16-mxbai_large_v1_en.md

@@ -0,0 +1,82 @@
+---
+layout: model
+title: mxbai large Model
+author: John Snow Labs
+name: mxbai_large_v1
+date: 2024-07-16
+tags: [embeddings, mxbai, en, open_source, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.4.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MxbaiEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MxbaiEmbeddings, adataped from huggingface imported to Spark-NLP to provide scalability and production-readiness.
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mxbai_large_v1_en_5.4.2_3.0_1721143405168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mxbai_large_v1_en_5.4.2_3.0_1721143405168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+documentAssembler = DocumentAssembler() \
+    .setInputCol('text') \
+    .setOutputCol('document')
+
+mxbai = MxbaiEmbeddings.pretrained("mxbai_large_v1","en") \
+    .setInputCols("document") \
+    .setOutputCol("embeddings") \
+
+pipeline = Pipeline().setStages([documentAssembler, mxbai])
+data = spark.createDataFrame([["I love spark-nlp"]]).toDF("text")
+pipelineModel = pipeline.fit(data)
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+val documentAssembler = new DocumentAssembler()
+    .setInputCols("text")
+    .setOutputCols("document")
+
+val mxbai = MxbaiEmbeddings.pretrained("mxbai_large_v1", "en")
+    .setInputCols("documents")
+    .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, mxbai))
+val data = Seq("I love spark-nlp").toDS.toDF("text")
+val pipelineModel = pipeline.fit(data)
+val pipelineDF = pipelineModel.transform(data)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mxbai_large_v1|
+|Compatibility:|Spark NLP 5.4.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[Mxbai]|
+|Language:|en|
+|Size:|793.8 MB|

docs/_posts/ahmedlone127/2024-07-16-snowflake_artic_m_en.md

@@ -0,0 +1,82 @@
+---
+layout: model
+title: SnowFlake Medium Model
+author: John Snow Labs
+name: snowflake_artic_m
+date: 2024-07-16
+tags: [embeddings, snowflake, en, open_source, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.4.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: SnowFlakeEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained SnowFlakeEmbeddings, adataped from huggingface imported to Spark-NLP to provide scalability and production-readiness.
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snowflake_artic_m_en_5.4.2_3.0_1721136236413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snowflake_artic_m_en_5.4.2_3.0_1721136236413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+documentAssembler = DocumentAssembler() \
+    .setInputCol('text') \
+    .setOutputCol('document')
+
+snowflake = SnowFlakeEmbeddings.pretrained("snowflake_artic_m","en") \
+    .setInputCols("document") \
+    .setOutputCol("embeddings") \
+
+pipeline = Pipeline().setStages([documentAssembler, snowflake])
+data = spark.createDataFrame([["I love spark-nlp"]]).toDF("text")
+pipelineModel = pipeline.fit(data)
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+val documentAssembler = new DocumentAssembler()
+    .setInputCols("text")
+    .setOutputCols("document")
+
+val snowflake = SnowFlakeEmbeddings.pretrained("snowflake_artic_m", "en")
+    .setInputCols("documents")
+    .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, snowflake))
+val data = Seq("I love spark-nlp").toDS.toDF("text")
+val pipelineModel = pipeline.fit(data)
+val pipelineDF = pipelineModel.transform(data)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snowflake_artic_m|
+|Compatibility:|Spark NLP 5.4.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[snowflake]|
+|Language:|en|
+|Size:|405.7 MB|

docs/_posts/ahmedlone127/2024-07-19-image_classifier_vit_base_patch16_224_en.md

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+---
+layout: model
+title: English image_classifier_vit_base_patch16_224 ViTForImageClassification from google
+author: John Snow Labs
+name: image_classifier_vit_base_patch16_224
+date: 2024-07-19
+tags: [vit, image_classification, en, open_source, onnx]
+task: Image Classification
+language: en
+edition: Spark NLP 5.4.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: ViTForImageClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_base_patch16_224 is a English model originally trained by google.
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/image_classifier_vit_base_patch16_224_en_5.4.2_3.0_1721418812161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/image_classifier_vit_base_patch16_224_en_5.4.2_3.0_1721418812161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+image_assembler = ImageAssembler()     .setInputCol("image") \
+    .setOutputCol("image_assembler")
+
+imageClassifier = ViTForImageClassification \
+    .pretrained("image_classifier_vit_base_patch16_224", "en")    .setInputCols("image_assembler") \
+    .setOutputCol("class")
+
+pipeline = Pipeline(stages=[
+    image_assembler,
+    imageClassifier,
+])
+
+pipelineModel = pipeline.fit(imageDF)
+
+pipelineDF = pipelineModel.transform(imageDF)
+
+```
+```scala
+
+val imageAssembler = new ImageAssembler()
+.setInputCol("image")
+.setOutputCol("image_assembler")
+
+val imageClassifier = ViTForImageClassification
+.pretrained("image_classifier_vit_base_patch16_224", "en")
+.setInputCols("image_assembler")
+.setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+
+val pipelineModel = pipeline.fit(imageDF)
+
+val pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|image_classifier_vit_base_patch16_224|
+|Compatibility:|Spark NLP 5.4.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|324.0 MB|

docs/_posts/ahmedlone127/2024-07-20-image_classifier_convnext_tiny_224_local_en.md

@@ -0,0 +1,90 @@
+---
+layout: model
+title: English image_classifier_convnext_tiny_224_local ConvNextForImageClassification
+author: John Snow Labs
+name: image_classifier_convnext_tiny_224_local
+date: 2024-07-20
+tags: [imagenet, image_classification, en, open_source, onnx]
+task: Image Classification
+language: en
+edition: Spark NLP 5.4.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: ConvNextForImageClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained ConvNext model for Image Classification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.
+
+The ConvNeXT model was proposed in A ConvNet for the 2020s by Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie.
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/image_classifier_convnext_tiny_224_local_en_5.4.2_3.0_1721500815172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/image_classifier_convnext_tiny_224_local_en_5.4.2_3.0_1721500815172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+image_assembler = ImageAssembler()     .setInputCol("image") \
+    .setOutputCol("image_assembler")
+
+imageClassifier = ConvNextForImageClassification \
+    .pretrained("image_classifier_convnext_tiny_224_local", "en")    .setInputCols("image_assembler") \
+    .setOutputCol("class")
+
+pipeline = Pipeline(stages=[
+    image_assembler,
+    imageClassifier,
+])
+
+pipelineModel = pipeline.fit(imageDF)
+
+pipelineDF = pipelineModel.transform(imageDF)
+
+```
+```scala
+
+val imageAssembler = new ImageAssembler()
+.setInputCol("image")
+.setOutputCol("image_assembler")
+
+val imageClassifier = ConvNextForImageClassification
+.pretrained("image_classifier_convnext_tiny_224_local", "en")
+.setInputCols("image_assembler")
+.setOutputCol("class")
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+
+val pipelineModel = pipeline.fit(imageDF)
+
+val pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|image_classifier_convnext_tiny_224_local|
+|Compatibility:|Spark NLP 5.4.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.2 MB|