2024-11-10-rubert_address_elements_ru (#14452)

* Add model 2024-11-11-sent_bowdpr_wiki_en * Add model 2024-11-11-cc_uffs_ppc_ft_test_multiqa_pipeline_en * Add model 2024-11-11-unified_skill_ner_echo_en * Add model 2024-11-11-mountain_ner_model_en * Add model 2024-11-11-mountain_ner_model_pipeline_en * Add model 2024-11-11-msu_wiki_ner_ru * Add model 2024-11-11-bert_xomlac_ner_pipeline_zh * Add model 2024-11-11-bert_base_cased_finetuned_ner_pipeline_en * Add model 2024-11-11-bert_base_cased_finetuned_ner_en * Add model 2024-11-11-ner_tokenclassification_persian_pipeline_en * Add model 2024-11-11-persian_text_ner_bert_v1_fa * Add model 2024-11-11-sent_flang_spanbert_pipeline_en * Add model 2024-11-11-sent_gww_pipeline_en * Add model 2024-11-11-software_ner_prod_en * Add model 2024-11-11-quote_model_bertm_v1_pipeline_en * Add model 2024-11-11-classify_bluesky_1000_v2_pipeline_en * Add model 2024-11-11-msu_wiki_ner_pipeline_ru * Add model 2024-11-11-hardware_ner_prod_en * Add model 2024-11-11-auto_adver_pipeline_en * Add model 2024-11-11-bert_finetuned_ner_viktoryes_pipeline_en * Add model 2024-11-11-bert_finetuned_ner_viktoryes_en * Add model 2024-11-11-quote_model_bertm_v1_en * Add model 2024-11-11-software_ner_prod_pipeline_en * Add model 2024-11-11-sent_tiny_mlm_glue_qnli_en * Add model 2024-11-11-sent_cocodr_large_pipeline_en * Add model 2024-11-11-ner_tokenclassification_persian_en * Add model 2024-11-11-hardware_ner_prod_pipeline_en * Add model 2024-11-11-embedded_e5_base_50_pipeline_en * Add model 2024-11-11-bert_finetuned_tmvar_corpus_pipeline_en * Add model 2024-11-11-e5_base_pipeline_en * Add model 2024-11-11-e5_large_en * Add model 2024-11-11-rupunct_small_ru * Add model 2024-11-11-spanish_medical_ner_pipeline_es * Add model 2024-11-11-nepal_bhasa_biored_model_pipeline_en * Add model 2024-11-11-unified_skill_ner_echo_pipeline_en * Add model 2024-11-11-e5_large_pipeline_en * Add model 2024-11-11-e5_small_en * Add model 2024-11-11-cleaned_e5_base_unsupervised_pipeline_en * Add model 2024-11-11-keybert_bulgarian_pipeline_bg * Add model 2024-11-11-bert_xomlac_ner_zh * Add model 2024-11-11-bert_finetuned_tmvar_corpus_en * Add model 2024-11-11-cleaned_e5_large_unsupervised_en * Add model 2024-11-11-sent_tiny_mlm_snli_en * Add model 2024-11-11-embedded_e5_base_50_en * Add model 2024-11-11-cleaned_e5_base_unsupervised_en * Add model 2024-11-11-results_pipeline_en * Add model 2024-11-11-xlm_cebinary_vmo2_large_3_en * Add model 2024-11-11-xlm_cebinary_vmo2_large_3_pipeline_en * Add model 2024-11-11-southern_sotho_mpnet_base_normal_en * Add model 2024-11-11-persian_text_ner_bert_v1_pipeline_fa * Add model 2024-11-11-results_en * Add model 2024-11-11-autotrain_nzog3_ca819_pipeline_en * Add model 2024-11-11-sentence_similarity_finetuned_mpnet_adrta_pipeline_en * Add model 2024-11-11-sentence_similarity_finetuned_mpnet_adrta_en * Add model 2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_en * Add model 2024-11-11-keybert_bulgarian_bg * Add model 2024-11-11-southern_sotho_mpnet_base10_en * Add model 2024-11-11-sentencetransformer_mpnet_base_on_chemical_dataset_pipeline_en * Add model 2024-11-11-e5_base_en * Add model 2024-11-11-southern_sotho_mpnet_base_normal_pipeline_en * Add model 2024-11-11-finetuned_sentence_similarity_en * Add model 2024-11-11-nepal_bhasa_biored_model_en * Add model 2024-11-11-whisper_tiny_amharic_en * Add model 2024-11-11-cleaned_e5_large_unsupervised_pipeline_en * Add model 2024-11-11-sent_bert_base_english_french_arabic_cased_pipeline_en * Add model 2024-11-11-fund_embedder_en * Add model 2024-11-11-whisper_tiny_v2_2_romanian_pipeline_en * Add model 2024-11-11-southern_sotho_mpnet_base20_pipeline_en * Add model 2024-11-11-auto_adver_en * Add model 2024-11-11-whisper_small_arabic_augmentation_en * Add model 2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_pipeline_en * Add model 2024-11-11-whisper_small_arabic_augmentation_pipeline_en * Add model 2024-11-11-whisper_tiny_amharic_pipeline_en * Add model 2024-11-11-whisper_tiny_arabic_pipeline_ar * Add model 2024-11-11-linshoufanfork_whisper_small_nan_twi_pinyin_en * Add model 2024-11-11-checkpoints_almino_pipeline_en * Add model 2024-11-11-whisper_tiny_v2_2_romanian_en * Add model 2024-11-11-autotrain_nzog3_ca819_en * Add model 2024-11-11-whisper_omg_hi * Add model 2024-11-11-whisper_omg_pipeline_hi * Add model 2024-11-11-checkpoints_almino_en * Add model 2024-11-11-whisper_small_western_frisian_dutch_transfer_from_english_fy * Add model 2024-11-11-whisper_tiny_nob_en * Add model 2024-11-11-whisper_tiny_nob_pipeline_en * Add model 2024-11-11-whisper_small_western_frisian_dutch_transfer_from_english_pipeline_fy * Add model 2024-11-11-whisper_tiny_arabic_ar * Add model 2024-11-11-e5_small_pipeline_en * Add model 2024-11-11-whisper_small_english_crossdelenna_en * Add model 2024-11-11-finetuned_sentence_similarity_pipeline_en * Add model 2024-11-11-whisper_small_malay_pipeline_my * Add model 2024-11-11-whisper_small_malay_my * Add model 2024-11-11-rupunct_small_pipeline_ru * Add model 2024-11-11-southern_sotho_mpnet_base20_en * Add model 2024-11-11-whisper_small_english_crossdelenna_pipeline_en * Add model 2024-11-11-whisper_small_russian_f_ru * Add model 2024-11-11-whisper_small_yt_en * Add model 2024-11-11-whisper_small_russian_f_pipeline_ru * Add model 2024-11-11-whisper_small_yt_pipeline_en * Add model 2024-11-11-whisper_base_common_voice_arabic11_0_en * Add model 2024-11-11-southern_sotho_mpnet_base10_pipeline_en * Add model 2024-11-11-spanish_medical_ner_es * Add model 2024-11-11-whisper_base_common_voice_arabic11_0_pipeline_en * Add model 2024-11-11-whisper_base_hungarian_v1_hu * Add model 2024-11-11-whisper_base_hungarian_v1_pipeline_hu * Add model 2024-11-11-whisper_finetuned_atcosim_en * Add model 2024-11-11-whisper_finetuned_atcosim_pipeline_en * Add model 2024-11-11-whisper_medium_latvian_ver2_lv * Add model 2024-11-11-whisper_medium_latvian_ver2_pipeline_lv * Add model 2024-11-11-whisper_small_french_uncased_fr * Add model 2024-11-11-whisper_small_french_uncased_pipeline_fr * Add model 2024-11-11-whisper_tiny_chinese_antares28_en * Add model 2024-11-11-whisper_tiny_chinese_antares28_pipeline_en * Add model 2024-11-11-malaysian_whisper_tiny_ms * Add model 2024-11-11-malaysian_whisper_tiny_pipeline_ms * Add model 2024-11-11-whisper_medium_luluw_en * Add model 2024-11-11-whisper_small_dutch_en * Add model 2024-11-11-whisper_small_greek_modern_finetune_el * Add model 2024-11-11-whisper_small_dutch_pipeline_en * Add model 2024-11-11-whisper_small_greek_modern_finetune_pipeline_el * Add model 2024-11-11-deberta_v3_large_lemon_spell_5k_en * Add model 2024-11-11-deberta_v3_large_lemon_spell_5k_pipeline_en * Add model 2024-11-11-bert_finetuned_squad_dokyoungkim_en * Add model 2024-11-11-bert_finetuned_squad_dokyoungkim_pipeline_en * Add model 2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_en * Add model 2024-11-11-bert_large_uncased_whole_word_masking_finetuned_squad_dev_i_pipeline_en * Add model 2024-11-11-banglabert_qa_en * Add model 2024-11-11-mi_chatbotv3_en * Add model 2024-11-11-mi_chatbotv3_pipeline_en * Add model 2024-11-11-bert_sliding_window_epoch_3_en * Add model 2024-11-11-hebert_finetuned_precedents_he * Add model 2024-11-11-bert_sliding_window_epoch_3_pipeline_en * Add model 2024-11-11-bert_base_uncased_finetuned_triviaqa_en * Add model 2024-11-11-mbert_finetuned_mlqa_dev_spanish_chinese_hindi_en * Add model 2024-11-11-bert_base_uncased_figurative_language_en * Add model 2024-11-11-bert_base_uncased_finetuned_triviaqa_pipeline_en * Add model 2024-11-11-bert_finetuned_squad_accelerate_3_en * Add model 2024-11-11-banglabert_qa_pipeline_en * Add model 2024-11-11-bert_base_uncased_figurative_language_pipeline_en * Add model 2024-11-11-mbert_finetuned_mlqa_dev_spanish_chinese_hindi_pipeline_en * Add model 2024-11-11-hebert_finetuned_precedents_pipeline_he * Add model 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model 2024-11-11-nasa_smd_ibm_v0_1_uat_labeler_en * Add model 2024-11-11-hs_arabic_translate_syn_4class_for_tool_pipeline_en * Add model 2024-11-11-flash_italian_ns_classifier_fpt_en * Add model 2024-11-11-bert_large_finetuned_phishing_junginkim_pipeline_en * Add model 2024-11-11-e5_small_lora_ai_generated_detector_pipeline_en * Add model 2024-11-11-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_pubmedqa_en * Add model 2024-11-11-climateattention_ctw_pipeline_en * Add model 2024-11-11-climateattention_ctw_en * Add model 2024-11-11-bio_clinicalbert_medical_pipeline_en * Add model 2024-11-11-bert_340m_ft_first_1000_pref_pipeline_en * Add model 2024-11-11-sst2_benign_bert_uncased_pipeline_en * Add model 2024-11-11-roberta_base_finetuned_ner_cadec_pipeline_en * Add model 2024-11-11-roberta_combined_generated_v1_1_epoch_7_en * Add model 2024-11-11-roberta_base_ainu_sayula_popoluca_en * Add model 2024-11-11-roberta_large_lemon_spell_5k_pipeline_en * Add model 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2024-11-11-bge_base_legal_matryoshka_v1_pipeline_en * Add model 2024-11-11-bsc_bio_ehr_spanish_distemist_es * Add model 2024-11-11-finetuned_baai_bge_base_english_pipeline_en * Add model 2024-11-11-bge_micro_smiles_pipeline_en * Add model 2024-11-11-bge_micro_smiles_en * Add model 2024-11-11-securebert_finetuned_ner_en * Add model 2024-11-11-bsc_bio_ehr_spanish_distemist_pipeline_es * Add model 2024-11-11-bge_tuned_en * Add model 2024-11-11-bge_base_english_v1_5_course_recommender_v2_en * Add model 2024-11-11-bge_base_legal_matryoshka_v1_en * Add model 2024-11-11-roberta_combined_generated_v1_1_epoch_8_en * Add model 2024-11-11-bge_small_english_v1_5_ft_orc_0930_dates_pipeline_en * Add model 2024-11-11-roberta_base_bne_capitel_ner_bsc_lt_pipeline_es * Add model 2024-11-11-fine_tuned_bge_large_en * Add model 2024-11-11-bge_99gpt_v1_en * Add model 2024-11-11-affilgood_ner_pipeline_en * Add model 2024-11-11-roberta_large_finetuned_abbr_filtered_plod_en * Add model 2024-11-11-roberta_base_bne_capitel_ner_plantl_gob_es_pipeline_es * Add model 2024-11-11-bge_tuned_pipeline_en * Add model 2024-11-11-roberta_base_absa_ate_sentiment_en * Add model 2024-11-11-bsc_bio_ehr_spanish_medprocner_pipeline_es * Add model 2024-11-11-lettuce_sayula_popoluca_dutch_mono_en * Add model 2024-11-11-ruroberta_large_ner_pipeline_en * Add model 2024-11-11-bge_base_english_v1_5_course_recommender_v2_pipeline_en * Add model 2024-11-11-roberta_combined_generated_epoch_7_pipeline_en * Add model 2024-11-11-roberta_combined_generated_epoch_7_en * Add model 2024-11-11-bge_small_english_v1_5_rirag_obliqa_en * Add model 2024-11-11-bge_99gpt_v1_pipeline_en * Add model 2024-11-11-bert_base_uncased_emotion_prikshit7766_pipeline_en * Add model 2024-11-11-roberta_large_finetuned_ner_finetuned_ner_en * Add model 2024-11-11-lettuce_sayula_popoluca_dutch_mono_pipeline_en * Add model 2024-11-11-roberta_large_finetuned_ner_finetuned_ner_pipeline_en * Add model 2024-11-11-bge_base_english_v1_5_finetuned_osllmai_v1_pipeline_en * Add model 2024-11-11-bert_finetuned_semantic_augmentation_ner_en * Add model 2024-11-11-bge_large_zhtw_v1_5_pipeline_en * Add model 2024-11-11-roberta_combined_generated_v1_1_epoch_8_pipeline_en * Add model 2024-11-11-ruroberta_large_ner_en * Add model 2024-11-11-roberta_spanish_clinical_trials_neg_spec_ner_en * Add model 2024-11-11-bert_news_class_pipeline_en * Add model 2024-11-11-roberta_base_absa_ate_sentiment_pipeline_en * Add model 2024-11-11-finetuned_bge_base_english_pipeline_en * Add model 2024-11-11-roberta_combined_generated_v1_1_epoch_7_pipeline_en * Add model 2024-11-11-fine_tuned_bge_large_pipeline_en * Add model 2024-11-11-workprocess_24_10_01_pipeline_en --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
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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
@@ -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}
+<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/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
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+documentAssembler = DocumentAssembler() \
+      .setInputCol("text") \
+      .setOutputCol("document")
+
+tokenizer = Tokenizer() \ 
+      .setInputCols("document") \ 
+      .setOutputCol("token")
+
+embeddings = XlmRoBertaEmbeddings.pretrained("afriberta_v2_large","en") \
+      .setInputCols(["document", "token"]) \
+      .setOutputCol("embeddings")       
+
+pipeline = Pipeline().setStages([documentAssembler, tokenizer, embeddings])
+data = spark.createDataFrame([["I love spark-nlp"]]).toDF("text")
+pipelineModel = pipeline.fit(data)
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+val documentAssembler = new DocumentAssembler() 
+    .setInputCol("text") 
+    .setOutputCol("document")
+
+val tokenizer = new Tokenizer() 
+    .setInputCols(Array("document"))
+    .setOutputCol("token")
+
+val embeddings = XlmRoBertaEmbeddings.pretrained("afriberta_v2_large","en") 
+    .setInputCols(Array("document", "token")) 
+    .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, embeddings))
+val data = Seq("I love spark-nlp").toDF("text")
+val pipelineModel = pipeline.fit(data)
+val pipelineDF = pipelineModel.transform(data)
+
+```
+</div>
+
+{:.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
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
@@ -0,0 +1,70 @@
+---
+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}
+<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/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
+
+
+
+<div class="tabs-box" markdown="1">
+{% 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)
+
+```
+</div>
+
+{:.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
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
@@ -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}
+<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/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
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+documentAssembler = DocumentAssembler() \
+    .setInputCol('text') \
+    .setOutputCol('document')
+
+tokenizer = Tokenizer() \
+    .setInputCols(['document']) \
+    .setOutputCol('token')
+
+tokenClassifier  = BertForTokenClassification.pretrained("bert_base_chinese_finetuned_food","en") \
+     .setInputCols(["documents","token"]) \
+     .setOutputCol("ner")
+
+pipeline = Pipeline().setStages([documentAssembler, tokenizer, tokenClassifier])
+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 tokenizer = new Tokenizer()
+    .setInputCols("document")
+    .setOutputCol("token")
+
+val tokenClassifier = BertForTokenClassification.pretrained("bert_base_chinese_finetuned_food", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("ner") 
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier))
+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:|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
diff --git a/.../_posts/ahmedlone127/2024-11-10-bert_base_chinese_finetuned_food_pipeline_en.md b/.../_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}
+<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/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
+
+
+
+<div class="tabs-box" markdown="1">
+{% 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)
+
+```
+</div>
+
+{:.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