2023-11-12-bert_qa_base_cased_squad2_en (#14065)

* Add model 2023-11-12-bert_qa_base_uncased_squad1.1_block_sparse_0.13_v1_en * Add model 2023-11-12-bert_qa_arap_ar * Add model 2023-11-12-bert_qa_base_cased_squad_v1_en * Add model 2023-11-12-bert_qa_base_cased_squad_v1.1_portuguese_pt * Add model 2023-11-12-bert_qa_base_uncased_squadv1_x2.01_f89.2_d30_hybrid_rewind_opt_v1_en * Add model 2023-11-12-bert_qa_base_finetuned_squad2_en * Add model 2023-11-12-bert_qa_base_spanish_wwm_cased_finetuned_s_c_es * Add model 2023-11-12-bert_qa_base_multilingual_cased_finetuned_polish_squad2_pl * Add model 2023-11-12-bert_qa_base_swedish_squad2_sv * Add model 2023-11-12-bert_qa_batteryonly_uncased_squad_v1_en * Add model 2023-11-12-bert_qa_base_uncased_squad_v1_en * Add model 2023-11-12-bert_qa_base_multilingual_cased_finetuned_polish_squad1_pl * Add model 2023-11-12-bert_qa_arap_large_v2_ar * Add model 2023-11-12-bert_qa_distiled_medium_squad2_en * Add model 2023-11-12-bert_qa_base_uncased_squadv1_x1.16_f88.1_d8_unstruct_v1_en * Add model 2023-11-12-bert_qa_base_spanish_wwm_cased_finetuned_squad2_es * Add model 2023-11-12-bert_qa_base_multilingual_cased_finetuned_dutch_squad2_nl * Add model 2023-11-12-bert_qa_italian_finedtuned_squadv1_italian_alfa_it * Add model 2023-11-12-bert_qa_base_uncased_squadv1_x1.84_f88.7_d36_hybrid_filled_v1_en * Add model 2023-11-12-bert_qa_base_spanish_wwm_cased_finetuned_spa_squad2_es * Add model 2023-11-12-bert_qa_base_turkish_squad_tr * Add model 2023-11-12-bert_qa_base_uncased_finetuned_news_en * Add model 2023-11-12-bert_qa_base_uncased_squadv1_x1.96_f88.3_d27_hybrid_filled_opt_v1_en * Add model 2023-11-12-bert_qa_base_uncased_squad1.1_block_sparse_0.07_v1_en * Add model 2023-11-12-bert_qa_battery_cased_squad_v1_en * Add model 2023-11-12-bert_qa_base_spanish_wwm_cased_finetuned_s_c_finetuned_squad_es * Add model 2023-11-12-bert_qa_base_uncased_squad1.1_block_sparse_0.20_v1_en * Add model 2023-11-12-bert_qa_base_sinhala_si * Add model 2023-11-12-bert_qa_base_spanish_wwm_cased_finetuned_spa_squad2_spanish_finetuned_s_c_es * Add model 2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_pistherea_conll2003_with_neg_with_repeat_en * Add model 2023-11-12-bert_qa_battery_uncased_squad_v1_en * Add model 2023-11-12-bert_qa_base_uncased_squadv1_x2.44_f87.7_d26_hybrid_filled_v1_en * Add model 2023-11-12-bert_qa_base_spanish_wwm_cased_finetuned_s_c_finetuned_squad2_es * Add model 2023-11-12-bert_qa_batterysci_cased_squad_v1_en * Add model 2023-11-12-bert_qa_bertv1_fine_en * Add model 2023-11-12-bert_qa_base_uncased_squad1.1_block_sparse_0.32_v1_en * Add model 2023-11-12-bert_qa_batterysci_uncased_squad_v1_en * Add model 2023-11-12-bert_qa_gbertqna_de * Add model 2023-11-12-bert_qa_pruebabert_en * Add model 2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_pwhatisthe_conll2003_with_neg_with_repeat_en * Add model 2023-11-12-bert_qa_base_uncased_squad_v1_sparse0.25_en * Add model 2023-11-12-bert_qa_base_spanish_wwm_cased_finetuned_squad2_spanish_finetuned_s_c_es * Add model 2023-11-12-bert_qa_srcocotero_en * Add model 2023-11-12-bert_qa_large_cased_whole_word_masking_finetuned_squad_en * Add model 2023-11-12-bert_qa_large_cased_squad_v1.1_portuguese_pt * Add model 2023-11-12-bert_qa_l_en * Add model 2023-11-12-bert_qa_base_uncased_squadv1_x2.32_f86.6_d15_hybrid_v1_en * Add model 2023-11-12-bert_qa_batteryonly_cased_squad_v1_en * Add model 2023-11-12-bert_qa_covid_bertb_en * Add model 2023-11-12-bert_qa_large_uncased_squadv1.1_sparse_90_unstructured_en * Add model 2023-11-12-bert_qa_large_uncased_wwm_squadv2_x2.15_f83.2_d25_hybrid_v1_en * Add model 2023-11-12-bert_qa_dist_squad2_en * Add model 2023-11-12-bert_qa_large_uncased_whole_word_masking_finetuned_squad_en * Add model 2023-11-12-bert_qa_alexander_learn_bert_finetuned_squad_en * Add model 2023-11-12-bert_qa_indo_id * Add model 2023-11-12-bert_qa_covid_bertc_en * Add model 2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_mit_restaurant_with_neg_with_repeat_en * Add model 2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_mit_movie_with_neg_with_repeat_en * Add model 2023-11-12-bert_qa_fardinsaboori_bert_finetuned_squad_en * Add model 2023-11-12-bert_qa_mini_finetuned_squadv2_en * Add model 2023-11-12-bert_qa_covid_berta_en * Add model 2023-11-12-bert_qa_large_uncased_wwm_squadv2_x2.63_f82.6_d16_hybrid_v1_en * Add model 2023-11-12-bert_qa_large_finetuned_squad2_en * Add model 2023-11-12-bert_qa_mtl_bert_base_uncased_ww_squad_en * Add model 2023-11-12-bert_qa_medium_finetuned_squadv2_en * Add model 2023-11-12-bert_qa_klue_commonsense_model_en * Add model 2023-11-12-bert_base_cased_qa_squad2_en * Add model 2023-11-12-bert_qa_manuert_for_xqua_en * Add model 2023-11-12-bert_qa_neulvo_bert_finetuned_squad_en * Add model 2023-11-12-bert_qa_3lang_xx * Add model 2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat_en * Add model 2023-11-12-bert_qa_nlp4web_xtremedistil_l6_h256_uncased_trivia_group2_en * Add model 2023-11-12-bert_qa_spanbert_emotion_extraction_en * Add model 2023-11-12-bert_qa_harsit_bert_finetuned_squad_en * Add model 2023-11-12-bert_qa_part_1_mbert_model_e1_xx * Add model 2023-11-12-bert_qa_graphcore_bert_large_uncased_squad_en * Add model 2023-11-12-bert_qa_kevinchoi_bert_finetuned_squad_accelerate_en * Add model 2023-11-12-bert_qa_sreyang_nvidia_bert_base_cased_finetuned_squad_en * Add model 2023-11-12-bert_qa_question_answering_for_argriculture_zh * Add model 2023-11-12-bert_qa_kevinchoi_bert_finetuned_squad_en * Add model 2023-11-12-bert_qa_akihiro2_finetuned_squad_en * Add model 2023-11-12-bert_qa_minilm_l12_h384_uncased_finetuned_squad_en * Add model 2023-11-12-bert_qa_sci_squad_quac_en * Add model 2023-11-12-bert_qa_multi_ling_bert_en * Add model 2023-11-12-bert_qa_paul_vinh_bert_base_multilingual_cased_finetuned_squad_xx * Add model 2023-11-12-bert_qa_amartyobanerjee_finetuned_squad_en * Add model 2023-11-12-bert_qa_part_2_mbert_model_e2_en * Add model 2023-11-12-bert_qa_part_2_bert_multilingual_dutch_model_e1_nl * Add model 2023-11-12-bert_qa_sotireas_biomednlp_pubmedbert_base_uncased_abstract_fulltext_contaminationqamodel_pubmedbert_en * Add model 2023-11-12-bert_qa_shushant_biomednlp_pubmedbert_base_uncased_abstract_fulltext_contaminationqamodel_pubmedbert_en * Add model 2023-11-12-bert_qa_part_1_mbert_model_e2_en * Add model 2023-11-12-bert_qa_sreyang_nvidia_bert_base_uncased_finetuned_squad_en * Add model 2023-11-12-bert_qa_andresestevez_bert_base_cased_finetuned_squad_en * Add model 2023-11-12-bert_qa_ainize_klue_bert_base_mrc_ko * Add model 2023-11-12-bert_qa_tianle_bert_base_uncased_finetuned_squad_en * Add model 2023-11-12-bert_qa_seongkyu_bert_base_cased_finetuned_squad_en * Add model 2023-11-12-bert_qa_supriyaarun_bert_base_uncased_finetuned_squad_en * Add model 2023-11-12-bert_qa_ajuste_02_en * Add model 2023-11-12-bert_qa_autotrain_small_qna_1380352953_en * Add model 2023-11-12-bert_qa_akshay1791_finetuned_squad_en * Add model 2023-11-12-bert_qa_ancient_chinese_base_ud_head_zh * Add model 2023-11-12-bert_qa_trial_3_results_en * Add model 2023-11-12-bert_qa_adars_base_cased_finetuned_squad_en * Add model 2023-11-12-bert_qa_ankitkupadhyay_bert_finetuned_squad_en * Add model 2023-11-12-bert_qa_autotrain_a3_1043835930_en * Add model 2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squad_xx * Add model 2023-11-12-bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad_en * Add model 2023-11-12-bert_qa_andresestevez_bert_finetuned_squad_accelerate_en * Add model 2023-11-12-bert_qa_baru98_base_cased_finetuned_squad_en * Add model 2023-11-12-bert_qa_aiyshwariya_finetuned_squad_en * Add model 2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full_xx * Add model 2023-11-12-bert_qa_augmented_en * Add model 2023-11-12-bert_qa_arabert_finetuned_arcd_ar * Add model 2023-11-12-bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022_en * Add model 2023-11-12-bert_qa_ajuste_01_en * Add model 2023-11-12-bert_qa_base_1024_full_trivia_en * Add model 2023-11-12-bert_qa_base_pars_uncased_persian_fa * Add model 2023-11-12-bert_qa_augmented_squad_translated_en * Add model 2023-11-12-bert_qa_araspeedest_en * Add model 2023-11-12-bert_qa_base_cased_finetuned_squad_r3f_en * Add model 2023-11-12-bert_qa_base_squad_v2_portuguese_pt * Add model 2023-11-12-bert_qa_base_japanese_wikipedia_ud_head_ja * Add model 2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_xx * Add model 2023-11-12-bert_qa_base_for_question_answering_en * Add model 2023-11-12-bert_qa_base_cased_finetuned_squad_v2_en * Add model 2023-11-12-bert_qa_autotrain_xlm_fine_tune_1380052948_en * Add model 2023-11-12-bert_qa_base_turkish_128k_cased_finetuned_lr_2e_05_epochs_3_tr * Add model 2023-11-12-bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2_xx * Add model 2023-11-12-bert_qa_base_chinese_zh * Add model 2023-11-12-bert_qa_base_indonesian_tydiqa_id * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10_en * Add model 2023-11-12-bert_qa_base_multi_uncased_xx * Add model 2023-11-12-bert_qa_base_nnish_cased_squad2_fi * Add model 2023-11-12-bert_qa_base_chinese_finetuned_squad_zh * Add model 2023-11-12-bert_qa_base_multi_mlqa_dev_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4_en * Add model 2023-11-12-bert_qa_base_pars_uncased_pquad_and_persian_fa * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0_en * Add model 2023-11-12-bert_qa_base_spanish_wwm_uncased_finetuned_squad_es * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8_en * Add model 2023-11-12-bert_qa_base_squad2_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10_en * Add model 2023-11-12-bert_qa_base_swedish_cased_finetuned_squad_sv * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2_en * Add model 2023-11-12-bert_qa_base_parsbert_uncased_finetuned_perqa_fa * Add model 2023-11-12-bert_qa_base_uncased_finetuned_squad_finetuned_trivia_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2_en * Add model 2023-11-12-bert_qa_base_squad_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10_en * Add model 2023-11-12-bert_qa_base_uncased_squad1_en * Add model 2023-11-12-bert_qa_base_swedish_cased_squad_experimental_sv * Add model 2023-11-12-bert_qa_base_uncased_squad_v1.0_finetuned_en * Add model 2023-11-12-bert_qa_bert003_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10_en * Add model 2023-11-12-bert_qa_bert_ft_newsqa_en * Add model 2023-11-12-bert_qa_bert_ft_nepal_bhasa_newsqa_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6_en * Add model 2023-11-12-bert_qa_bert_base_cased_chaii_en * Add model 2023-11-12-bert_qa_bert_base_4096_full_trivia_copied_embeddings_en * Add model 2023-11-12-bert_qa_bert_base_persian_farsi_qa_fa * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10_en * Add model 2023-11-12-bert_qa_base_uncased_spanish_sign_language_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6_en * Add model 2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa_es * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0_en * Add model 2023-11-12-bert_qa_bert_en * Add model 2023-11-12-bert_qa_bert_base_swedish_cased_squad_experimental_sv * Add model 2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac_es * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8_en * Add model 2023-11-12-bert_qa_bert001_en * Add model 2023-11-12-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar_es * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4_en * Add model 2023-11-12-bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42_en * Add model 2023-11-12-bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr * Add model 2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar_es * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6_en * Add model 2023-11-12-bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0_en * Add model 2023-11-12-bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0_en * Add model 2023-11-12-bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4_en * Add model 2023-11-12-bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0_en * Add model 2023-11-12-bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0_en * Add model 2023-11-12-bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0_en * Add model 2023-11-12-bert_qa_bert_base_1024_full_trivia_copied_embeddings_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6_en * Add model 2023-11-12-bert_qa_bert_base_uncased_finetuned_infovqa_en * Add model 2023-11-12-bert_qa_bert_base_uncased_finetuned_squad_v1_en * Add model 2023-11-12-bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa_vi * Add model 2023-11-12-bert_qa_bert_base_512_full_trivia_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10_en * Add model 2023-11-12-bert_qa_bert_base_uncased_squad_l3_en * Add model 2023-11-12-bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en * Add model 2023-11-12-bert_qa_bert_base_uncased_qa_squad2_en * Add model 2023-11-12-bert_qa_bert_base_cased_iuchatbot_ontologydts_en * Add model 2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2_en * Add model 2023-11-12-bert_qa_bert_finetuned_squad1_en * Add model 2023-11-12-bert_qa_bert_base_cased_finetuned_squad_test_en * Add model 2023-11-12-bert_qa_bert_chinese_finetuned_zh * Add model 2023-11-12-bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2_en * Add model 2023-11-12-bert_qa_base_uncased_finetuned_trivia_finetuned_squad_en * Add model 2023-11-12-bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen_en * Add model 2023-11-12-bert_qa_base_uncased_pretrain_finetuned_coqa_fal_en * Add model 2023-11-13-bert_qa_base_uncased_squad_v2.0_finetuned_en * Add model 2023-11-13-bert_qa_bert_medium_wrslb_finetuned_squadv1_en * Add model 2023-11-13-bert_qa_bert_mini_wrslb_finetuned_squadv1_en * Add model 2023-11-13-bert_qa_bert_qa_vietnamese_nvkha_vi * Add model 2023-11-13-bert_qa_bert_small_2_finetuned_squadv2_en * Add model 2023-11-13-bert_qa_bert_small_finetuned_squad_en * Add model 2023-11-13-bert_qa_bert_small_cord19_squad2_en * Add model 2023-11-13-bert_qa_bert_base_chinese_finetuned_squad_colab_zh * Add model 2023-11-13-bert_qa_bert_base_uncased_finetuned_docvqa_en * Add model 2023-11-13-bert_qa_bert_small_pretrained_finetuned_squad_en * Add model 2023-11-13-bert_qa_bert_small_cord19qa_en * Add model 2023-11-13-bert_qa_bert_base_uncased_finetuned_duorc_bert_en * Add model 2023-11-13-bert_qa_bert_base_squadv1_en * Add model 2023-11-13-bert_qa_bert_tiny_3_finetuned_squadv2_en * Add model 2023-11-13-bert_qa_bert_tiny_finetuned_squad_en * Add model 2023-11-13-bert_qa_bert_multi_cased_squad_swedish_marbogusz_sv * Add model 2023-11-13-bert_qa_bert_base_uncased_fiqa_flm_albanian_flit_sq * Add model 2023-11-13-bert_qa_bert_uncased_l_2_h_512_a_8_squad2_en * Add model 2023-11-13-bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna_en * Add model 2023-11-13-bert_qa_bert_base_uncased_finetuned_squad_frozen_v2_en * Add model 2023-11-13-bert_qa_bert_uncased_l_4_h_256_a_4_squad2_en * Add model 2023-11-13-bert_qa_bert_uncased_l_4_h_256_a_4_cord19_200616_squad2_en * Add model 2023-11-13-bert_qa_bert_base_uncased_squad_l6_en * Add model 2023-11-13-bert_qa_bert_reader_squad2_en * Add model 2023-11-13-bert_qa_bert_persian_farsi_qa_v1_fa * Add model 2023-11-13-bert_qa_bert_uncased_l_4_h_256_a_4_cord19_200616_squad2_covid_qna_en * Add model 2023-11-13-bert_qa_bert_uncased_l_4_h_512_a_8_squad2_covid_qna_en * Add model 2023-11-13-bert_qa_bert_small_wrslb_finetuned_squadv1_en * Add model 2023-11-13-bert_qa_bert_uncased_l_4_h_768_a_12_cord19_200616_squad2_en * Add model 2023-11-13-bert_qa_bert_finetuned_squad_pytorch_en * Add model 2023-11-13-bert_qa_bert_tiny_4_finetuned_squadv2_en * Add model 2023-11-13-bert_qa_bespin_global_klue_bert_base_mrc_ko * Add model 2023-11-13-bert_qa_bert_uncased_l_6_h_128_a_2_squad2_covid_qna_en * Add model 2023-11-13-bert_qa_beto_espanhol_squad2_es * Add model 2023-11-13-bert_qa_bert_uncased_l_2_h_512_a_8_squad2_covid_qna_en * Add model 2023-11-13-bert_qa_bert_medium_pretrained_finetuned_squad_en --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
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diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_base_cased_qa_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_base_cased_qa_squad2_en.md
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+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_base_cased_qa_squad2
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-squad2` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.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_cased_qa_squad2_en_5.2.0_3.0_1699785841705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_qa_squad2_en_5.2.0_3.0_1699785841705.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 = MultiDocumentAssembler() \ 
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_base_cased_qa_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_base_cased_qa_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.base_cased.by_deepset").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_qa_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/bert-base-cased-squad2
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_3lang_xx.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_3lang_xx.md
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+---
+layout: model
+title: Multilingual BertForQuestionAnswering Cased model (from krinal214)
+author: John Snow Labs
+name: bert_qa_3lang
+date: 2023-11-12
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-3lang` is a Multilingual model originally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.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_qa_3lang_xx_5.2.0_3.0_1699786324189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_3lang_xx_5.2.0_3.0_1699786324189.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 = MultiDocumentAssembler() \
+    .setInputCols(["question", "context"]) \
+    .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_3lang","xx") \
+    .setInputCols(["document_question", "document_context"]) \
+    .setOutputCol("answer")\
+    .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["PUT YOUR QUESTION HERE", "PUT YOUR CONTEXT HERE"]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler() 
+      .setInputCols(Array("question", "context")) 
+      .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_3lang","xx") 
+    .setInputCols(Array("document", "token")) 
+    .setOutputCol("answer")
+    .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("PUT YOUR QUESTION HERE", "PUT YOUR CONTEXT HERE").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("xx.answer_question.bert.tydiqa.3lang").predict("""PUT YOUR QUESTION HERE|||"PUT YOUR CONTEXT HERE""")
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_3lang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-3lang
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_adars_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_adars_base_cased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from Adars)
+author: John Snow Labs
+name: bert_qa_adars_base_cased_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+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-cased-finetuned-squad` is a English model originally trained by `Adars`.
+
+## Predicted Entities
+
+
+
+{:.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_qa_adars_base_cased_finetuned_squad_en_5.2.0_3.0_1699788427985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_adars_base_cased_finetuned_squad_en_5.2.0_3.0_1699788427985.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 = MultiDocumentAssembler()\
+     .setInputCols(["question", "context"])\
+     .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_adars_base_cased_finetuned_squad","en")\
+     .setInputCols(["document_question", "document_context"])\
+     .setOutputCol("answer")\
+     .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+     .setInputCols(Array("question", "context"))
+     .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_adars_base_cased_finetuned_squad","en")
+     .setInputCols(Array("document_question", "document_context"))
+     .setOutputCol("answer")
+     .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_adars_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Adars/bert-base-cased-finetuned-squad