2023-09-13-bert_base_uncased_issues_128_juandeun_en (#13981)

* Add model 2023-09-13-b_fb_sms_lm_en * Add model 2023-09-13-kannada_bert_kn * Add model 2023-09-13-bert_base_uncased_finetuned_bert_auto7_en * Add model 2023-09-13-betonews_tweetcontext_en * Add model 2023-09-13-bert_twitter_hashtag_en * Add model 2023-09-13-bert_base_cased_finetuned_bert_auto7_en * Add model 2023-09-13-telugu_bert_te * Add model 2023-09-13-arab_bert_en * Add model 2023-09-13-bert_base_uncased_finetuned_bert_mlm_en * Add model 2023-09-13-ct_pubmedbert_re_en * Add model 2023-09-13-mybert_mini_500k_en * Add model 2023-09-13-malayalam_bert_ml * Add model 2023-09-13-mybert_mini_1m_en * Add model 2023-09-13-phrase_bert_finetuned_imdb_en * Add model 2023-09-13-bert_large_uncased_whole_word_masking_finetuned_bert_mlm_en * Add model 2023-09-13-berdou_200k_en * Add model 2023-09-13-tamil_bert_ta * Add model 2023-09-13-legal_hebert_en * Add model 2023-09-13-bert_base_uncased_finetuned_imdb_sarmila_en * Add model 2023-09-13-berdou_500k_en * Add model 2023-09-13-bert_large_uncased_finetuned_bert_mlm5_en * Add model 2023-09-13-alephbertgimmel_small_128_he * Add model 2023-09-13-gujarati_bert_gu * Add model 2023-09-13-alberti_bert_base_multilingual_cased_flax_community_xx * Add model 2023-09-13-bert_base_japanese_ssuw_ja * Add model 2023-09-13-bert_base_cased_finetuned_bert_mlm5_en * Add model 2023-09-13-roberta_base_culinary_en * Add model 2023-09-13-bert_base_uncased_swahili_sw * Add model 2023-09-13-assamese_bert_as * Add model 2023-09-13-cocodr_base_msmarco_warmup_en * Add model 2023-09-13-shangpin_pre_training_en * Add model 2023-09-13-bert_large_cased_whole_word_masking_finetuned_bert_mlm6_en * Add model 2023-09-13-reddit_bert_text2_en * Add model 2023-09-13-legal_indobert_pytorch_v4_en * Add model 2023-09-13-bert_base_uncased_finetuned_bert_mlm9_en * Add model 2023-09-13-reddit_bert_text3_en * Add model 2023-09-13-odia_bert_or * Add model 2023-09-13-luxembert_en * Add model 2023-09-13-mbert_deen_en * Add model 2023-09-13-reddit_bert_text4_en * Add model 2023-09-13-bengali_bert_bn * Add model 2023-09-13-reddit_bert_text_10_en * Add model 2023-09-13-kcbert_large_finetuned_en * Add model 2023-09-13-reddit_bert_text_20_en * Add model 2023-09-13-punjabi_bert_pa * Add model 2023-09-13-bert_base_uncased_issues_128_cj_mills_en * Add model 2023-09-13-bert_base_uncased_finetuned_himani_gen_mlm_en * Add model 2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_0_en * Add model 2023-09-13-reddit_bert_text_5_en * Add model 2023-09-13-dapbert_en * Add model 2023-09-13-bert_base_uncased_finetuned_himani_gen_mlm_1_en * Add model 2023-09-13-youtube_bert_en * Add model 2023-09-13-pretrained_kyw_e1_en * Add model 2023-09-13-dapscibert_en * Add model 2023-09-13-bert_base_uncased_finetuned_himani_gen_mlm_12_en * Add model 2023-09-13-youtube_bert_10_en * Add model 2023-09-13-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_1_en * Add model 2023-09-13-bert_pretraining_gaudi_2_batch_size_32_en * Add model 2023-09-13-model1_en * Add model 2023-09-13-klue_base_finetuned_en * Add model 2023-09-13-me_bert_mr * Add model 2023-09-13-bert_cluster_en * Add model 2023-09-13-medical_bio_bert2_en * Add model 2023-09-13-bert_base_uncased_finetuned_himani_gen_mlm_13_en * Add model 2023-09-13-me_bert_mixed_mr * Add model 2023-09-13-bert_large_cased_finetuned_hkdse_english_paper4_en * Add model 2023-09-13-dabert_multi_en * Add model 2023-09-13-bert_base_uncased_finetuned_himani_gen_mlm_14_en * Add model 2023-09-13-bert_base_spanish_amvv_uncased_en * Add model 2023-09-13-manubert_en * Add model 2023-09-13-greeksocialbert_base_greek_uncased_v1_el * Add model 2023-09-13-bert_base_uncased_finetuned_himani_gen_mlm_15_en * Add model 2023-09-13-bert_base_pashto_v1_ps * Add model 2023-09-13-parlbert_german_v1_de * Add model 2023-09-13-bert_pretraining_gaudi_2_batch_size_64_en * Add model 2023-09-13-bert_base_cased_portuguese_c_corpus_en * Add model 2023-09-13-testc8_1_en * Add model 2023-09-13-klue_bert_epoch3_en * Add model 2023-09-13-bert_base_stackoverflow_comments_1m_en * Add model 2023-09-13-testc8_2_en * Add model 2023-09-13-bert_base_stackoverflow_comments_2m_en * Add model 2023-09-13-kcbert_base_finetuned_en * Add model 2023-09-13-bert_base_arabic_miner_en * Add model 2023-09-14-bert_base_greek_uncased_v5_finetuned_polylex_malagasy_en * Add model 2023-09-14-dummy_model_linbo_en * Add model 2023-09-14-bert_base_code_comments_en * Add model 2023-09-14-bert_base_greek_uncased_v6_finetuned_polylex_malagasy_en * Add model 2023-09-14-bert_base_uncased_narsil_en * Add model 2023-09-14-bertugues_base_portuguese_cased_pt * Add model 2023-09-14-bert_large_stackoverflow_comments_1m_en * Add model 2023-09-14-retromae_msmarco_distill_en * Add model 2023-09-14-archaeobert_en * Add model 2023-09-14-klue_bert_mlm_en * Add model 2023-09-14-bert_base_uncased_issues_128_mabrouk_en * Add model 2023-09-14-legalbert_large_1.7m_1_en * Add model 2023-09-14-telugu_bert_scratch_te * Add model 2023-09-14-muril_base_cased_en * Add model 2023-09-14-malayalam_bert_scratch_ml * Add model 2023-09-14-weights_bert_mlm_epoch50_en * Add model 2023-09-14-bert_base_cased_conversational_finetuned_wallisian_en * Add model 2023-09-14-mbert_squad_en * Add model 2023-09-14-gujarati_bert_scratch_gu * Add model 2023-09-14-9.4aistudy_en * Add model 2023-09-14-bert_base_uncased_issues_128_veeps_en * Add model 2023-09-14-bert_base_german_europeana_td_cased_en * Add model 2023-09-14-kannada_bert_scratch_kn * Add model 2023-09-14-bert_base_uncased_issues_128_bh8648_en * Add model 2023-09-14-awesome_align_with_corsican_xx * Add model 2023-09-14-bert_base_kor_v1_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_en * Add model 2023-09-14-test_dushen_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_lower_en * Add model 2023-09-14-legalbert_large_1.7m_2_en * Add model 2023-09-14-domain_adapted_arbert_goudma_bert_en * Add model 2023-09-14-medbert_512_norwegian_duplicates_de * Add model 2023-09-14-closure_system_door_inne_bert_base_uncased_en * Add model 2023-09-14-gepabert_de * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_5_en * Add model 2023-09-14-bert_system_en * Add model 2023-09-14-mergedistill_base_cased_anneal_en * Add model 2023-09-14-aligner_english_vietnamese_en * Add model 2023-09-14-medbit_r3_plus_it * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_6_en * Add model 2023-09-14-mymodel_en * Add model 2023-09-14-door_inner_with_sa_bert_base_uncased_en * Add model 2023-09-14-public_models_en * Add model 2023-09-14-frpile_mlm_en * Add model 2023-09-14-radbert_en * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_7_en * Add model 2023-09-14-bert_application_en * Add model 2023-09-14-legal_hebert_ft_en * Add model 2023-09-14-mlm_20230416_003_1_en * Add model 2023-09-14-vatestnew_en * Add model 2023-09-14-dzarabert_ar * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_10_en * Add model 2023-09-14-alephbertgimmel_base_512_he * Add model 2023-09-14-mergedistill_base_cased_anneal_v4_en * Add model 2023-09-14-mvr_squad_bert_base_multilingual_cased_xx * Add model 2023-09-14-mlm_20230416_003_2_en * Add model 2023-09-14-medbit_it * Add model 2023-09-14-bert_base_uncased_mlm_scirepeval_fos_chemistry_en * Add model 2023-09-14-medruberttiny2_ru * Add model 2023-09-14-bert_base_uncased_issues_128_abhilashawasthi_en * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_11_en * Add model 2023-09-14-sagorbert_nwp_finetuning_test2_en * Add model 2023-09-14-bert_base_uncased_reviews_128_en * Add model 2023-09-14-biobit_it * Add model 2023-09-14-bert_base_uncased_issues_128_reaverlee_en * Add model 2023-09-14-bert_nlp_project_imdb_en * Add model 2023-09-14-biomedvlp_cxr_bert_general_en * Add model 2023-09-14-bert_base_uncased_finetuned_char_hangman_en * Add model 2023-09-14-clinicaltrialbiobert_en * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_12_en * Add model 2023-09-14-mlperf_inference_bert_pytorch_fp32_squad_v1.1_en * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_13_en * Add model 2023-09-14-bert_base_bookcorpus_en * Add model 2023-09-14-autotrain_acc_keys_2347073860_en * Add model 2023-09-14-ucb_bert_finetunned_en * Add model 2023-09-14-bert_nlp_project_google_en * Add model 2023-09-14-bert_base_wikitext_en * Add model 2023-09-14-bert_large_cased_sigir_support_refute_norwegian_label_40_2nd_test_lr10_8_20_en * Add model 2023-09-14-splade_cocondenser_selfdistil_naver_en * Add model 2023-09-14-jobs_pretraining_model_en * Add model 2023-09-14-logion_50k_wordpiece_en * Add model 2023-09-14-splade_cocondenser_ensembledistil_en * Add model 2023-09-14-bert_based_ner_models_en * Add model 2023-09-14-model_imdb_finetuned_en * Add model 2023-09-14-bnlp_tokenizer_paraphrase_mlm_bert_900001_en * Add model 2023-09-14-gbert_large_finetuned_cust_en * Add model 2023-09-14-project3_model_en * Add model 2023-09-14-bert_base_cased_finetuned_chemistry_en * Add model 2023-09-14-sagorbert_nwp_finetuning_test4_en * Add model 2023-09-14-bert_base_uncased_mlp_scirepeval_chemistry_large_en * Add model 2023-09-14-skc_mlm_german_torch_de * Add model 2023-09-14-kw_pubmed_1000_0.0003_en * Add model 2023-09-14-test_bert_base_uncased_en * Add model 2023-09-14-test_bert_base_spanish_wwm_cased_finetuned_ultrasounds_en * Add model 2023-09-14-akkbert_en * Add model 2023-09-14-kw_pubmed_1000_0.00006_en * Add model 2023-09-14-tiny_mlm_imdb_en * Add model 2023-09-14-tiny_mlm_tweet_en * Add model 2023-09-14-kw_pubmed_1000_0.000006_en * Add model 2023-09-14-oyo_bert_base_yo * Add model 2023-09-14-mini_mlm_tweet_en * Add model 2023-09-14-small_mlm_tweet_en * Add model 2023-09-14-gbert_large_finetuned_cust18_en * Add model 2023-09-14-bert_ucb_v1_en * Add model 2023-09-14-mini_mlm_imdb_en * Add model 2023-09-14-louribert_en * Add model 2023-09-14-medium_mlm_tweet_en * Add model 2023-09-14-applicationbert_en * Add model 2023-09-14-base_mlm_tweet_en * Add model 2023-09-14-bertimbau_pt * Add model 2023-09-14-small_mlm_imdb_en * Add model 2023-09-14-vbert_2021_base_en * Add model 2023-09-14-louribert_more_tokens_saeid7776_en * Add model 2023-09-14-model_saeid7776_en * Add model 2023-09-14-model_v02_en * Add model 2023-09-14-bert_base_uncased_duplicate_en * Add model 2023-09-14-bert_base_minipile_128_en * Add model 2023-09-14-gbert_base_finetuned_twitter_janst_en * Add model 2023-09-14-bert_large_nordic_pile_1m_steps_en * Add model 2023-09-14-bert_large_nordic_pile_1m_steps_sv * Add model 2023-09-14-bibert_v0.1_en * Add model 2023-09-14-bert_base_bangla_finetuned_summarization_dataset_en * Add model 2023-09-14-incorporation_of_company_related_factual_knowledge_into_pre_trained_language_models_en * Add model 2023-09-14-bert_multilang_finetune_bangla_summarization_dataset_en * Add model 2023-09-14-bert_base_uncased_finetuned_wikitext_en * Add model 2023-09-14-antismetisim1_finetuned_mlm_en * Add model 2023-09-14-parlbert_german_law_de * Add model 2023-09-14-dictabert_seg_he * Add model 2023-09-14-dictabert_he * Add model 2023-09-14-dictabert_morph_he * Add model 2023-09-14-scholarbert_100_64bit_en * Add model 2023-09-14-coronasentana_en * Add model 2023-09-14-gbert_large_autopart_en * Add model 2023-09-14-itd_bert_en * Add model 2023-09-14-itd_longformer_en * Add model 2023-09-14-lumbarradiologyreports_en * Add model 2023-09-14-bert_base_german_cased_mlm_basque_chemistry_regulation_en * Add model 2023-09-14-bert_base_spanish_wwm_cased_finetuned_peppa_pig_en * Add model 2023-09-14-bert_base_spanish_wwm_cased_finetuned_wine_reviews_spanish_en * Add model 2023-09-14-antismetisimlargedata_finetuned_mlm_en * Add model 2023-09-14-word_ethical_ko * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_1ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_2ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_3ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_4ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_5ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_6ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_7ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_8ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_9ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_whisper_10ep_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_1ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_1ep_lower_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_2ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_2ep_lower_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_3ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_3ep_lower_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_4ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_4ep_lower_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_5ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_5ep_lower_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_6ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_6ep_lower_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_7ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_7ep_lower_en * Add model 2023-09-14-bert_base_cased_finetuned_wallisian_manual_8ep_en * Add model 2023-09-14-bert_base_uncased_finetuned_wallisian_manual_8ep_lower_en --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
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diff --git a/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_finetuned_mark_en.md b/docs/_posts/ahmedlone127/2023-09-12-bert_base_dutch_cased_finetuned_mark_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_mark BertEmbeddings from markverschuren
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_mark
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_dutch_cased_finetuned_mark` is a English model originally trained by markverschuren.
+
+{:.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_dutch_cased_finetuned_mark_en_5.1.1_3.0_1694551719944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_mark_en_5.1.1_3.0_1694551719944.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
+
+
+document_assembler = DocumentAssembler() \
+    .setInputCol("text") \
+    .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("bert_base_dutch_cased_finetuned_mark","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings 
+    .pretrained("bert_base_dutch_cased_finetuned_mark", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("embeddings") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_mark|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/markverschuren/bert-base-dutch-cased-finetuned-mark
diff --git a/docs/_posts/ahmedlone127/2023-09-12-legal_bert_small_uncased_en.md b/docs/_posts/ahmedlone127/2023-09-12-legal_bert_small_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English legal_bert_small_uncased BertEmbeddings from nlpaueb
+author: John Snow Labs
+name: legal_bert_small_uncased
+date: 2023-09-12
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_bert_small_uncased` is a English model originally trained by nlpaueb.
+
+{:.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/legal_bert_small_uncased_en_5.1.1_3.0_1694561644609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_bert_small_uncased_en_5.1.1_3.0_1694561644609.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
+
+
+document_assembler = DocumentAssembler() \
+    .setInputCol("text") \
+    .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("legal_bert_small_uncased","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings 
+    .pretrained("legal_bert_small_uncased", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("embeddings") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_bert_small_uncased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|130.6 MB|
+
+## References
+
+https://huggingface.co/nlpaueb/legal-bert-small-uncased
diff --git a/docs/_posts/ahmedlone127/2023-09-13-adopted_bert_base_cased_en.md b/docs/_posts/ahmedlone127/2023-09-13-adopted_bert_base_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English adopted_bert_base_cased BertEmbeddings from sivanravid
+author: John Snow Labs
+name: adopted_bert_base_cased
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adopted_bert_base_cased` is a English model originally trained by sivanravid.
+
+{:.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/adopted_bert_base_cased_en_5.1.1_3.0_1694617850169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adopted_bert_base_cased_en_5.1.1_3.0_1694617850169.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
+
+
+document_assembler = DocumentAssembler() \
+    .setInputCol("text") \
+    .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("adopted_bert_base_cased","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings 
+    .pretrained("adopted_bert_base_cased", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("embeddings") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adopted_bert_base_cased|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/sivanravid/adopted-bert-base-cased
diff --git a/docs/_posts/ahmedlone127/2023-09-13-aivengers_bert_finetuned_en.md b/docs/_posts/ahmedlone127/2023-09-13-aivengers_bert_finetuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English aivengers_bert_finetuned BertEmbeddings from dkqp
+author: John Snow Labs
+name: aivengers_bert_finetuned
+date: 2023-09-13
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings  model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aivengers_bert_finetuned` is a English model originally trained by dkqp.
+
+{:.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/aivengers_bert_finetuned_en_5.1.1_3.0_1694620043636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aivengers_bert_finetuned_en_5.1.1_3.0_1694620043636.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
+
+
+document_assembler = DocumentAssembler() \
+    .setInputCol("text") \
+    .setOutputCol("documents")
+
+
+embeddings =BertEmbeddings.pretrained("aivengers_bert_finetuned","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("embeddings")
+
+pipeline = Pipeline().setStages([document_assembler, embeddings])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val document_assembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val embeddings = BertEmbeddings 
+    .pretrained("aivengers_bert_finetuned", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("embeddings") 
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aivengers_bert_finetuned|
+|Compatibility:|Spark NLP 5.1.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/dkqp/AiVENGERS_BERT_FineTuned