Merge Model Hub (#14635)

* Add model 2025-04-09-gpt2_bash_history_baseline_pipeline_en

* Add model 2025-04-09-flutterbot_en

* Add model 2025-04-07-frankietime_en

* Add model 2025-04-09-hushem_5x_deit_small_sgd_0001_fold4_en

* Add model 2025-04-08-bmu_finetuned_pubmedbert_mlm_medquad_en

* Add model 2025-04-09-db_slr_1_1e_pipeline_en

* Add model 2025-04-09-saudiah_repat_someone_470_pipeline_en

* Add model 2025-04-09-sent_cxr_bioclinicalbert_v1_en

* Add model 2025-04-09-xlsr_vorarlbergerisch_en

* Add model 2025-04-09-sent_bert_base_multilingual_uncased_pretrained_xx

* Add model 2025-04-08-emotion_classification_dafa_w_en

* Add model 2025-04-09-wav2vec2_base_timit_demo_google_colab_atgarcia_pipeline_en

* Add model 2025-04-08-bert_finetuned_ner_cti_en

* Add model 2025-04-09-sent_arabic_monomodel_monotok_en

* Add model 2025-04-09-sent_schwurpert_pipeline_de

* Add model 2025-04-08-wav2vec2_large_xls_r_300m_hindi_devendr_en

* Add model 2025-04-08-dialogpt_medium_harry_pipeline_en

* Add model 2025-04-09-gpt_2_finetuning_airaid_en

* Add model 2025-04-08-mchammer_pipeline_en

* Add model 2025-04-09-wav2vec2_large_xls_r_300m_kor_11385_2_en

* Add model 2025-04-09-sent_bert_base_stackoverflow_comments_2m_pipeline_en

* Add model 2025-04-08-shape_nato_pipeline_en

* Add model 2025-04-09-burmese_awesome_wnut_model_ai_pipeline_en

* Add model 2025-04-09-vit_female_age_classification_en

* Add model 2025-04-09-vit_base_oxford_iiit_pets_niko132_pipeline_en

* Add model 2025-04-09-koriposting_en

* Add model 2025-04-09-rockdrigoma_pipeline_en

* Add model 2025-04-09-vit_base_patch16_224_finetuned_cedar_en

* Add model 2025-04-09-williamblakebot_pipeline_en

* Add model 2025-04-09-bert_base_train_book_ent_15p_ra_en

* Add model 2025-04-09-tinybert_train_book_ent_15p_en

* Add model 2025-04-08-exp_w2v2t_indonesian_xlsr_53_s358_id

* Add model 2025-04-08-bert_finetuned_ner_accelerate_atichets_pipeline_en

* Add model 2025-04-09-brad_buchsbaum_en

* Add model 2025-04-09-honeytech_pipeline_en

* Add model 2025-04-09-extended_gender_classifier_en

* Add model 2025-04-09-smids_1x_deit_tiny_rms_001_fold3_pipeline_en

* Add model 2025-04-09-icelynjennings_pipeline_en

* Add model 2025-04-09-jackposobiec_pipeline_en

* Add model 2025-04-09-sent_finnish_monomodel_monotok_pipeline_en

* Add model 2025-04-08-exp5_10partition_modelo_asl6000_pipeline_en

* Add model 2025-04-08-output_pipeline_pt

* Add model 2025-04-09-bert_finetuned_ner_huizhoucheng_en

* Add model 2025-04-09-icelynjennings_en

* Add model 2025-04-09-sent_tiny_mlm_glue_mnli_from_scratch_custom_tokenizer_expand_vocab_en

* Add model 2025-04-09-sent_drclips_en

* Add model 2025-04-09-sent_nbme_bio_clinicalbert_en

* Add model 2025-04-09-finetune_model_bert_en

* Add model 2025-04-09-bert_finetuned_ner_fundrais123_en

* Add model 2025-04-09-filler_username_pipeline_en

* Add model 2025-04-09-gpt2_chatbot_kuttersn_en

* Add model 2025-04-09-musebiihi_pipeline_en

* Add model 2025-04-09-disconcision_pipeline_en

* Add model 2025-04-09-arxiv_classifier_debertav3_en

* Add model 2025-04-08-wenger_en

* Add model 2025-04-08-burmese_awesome_model_recod_en

* Add model 2025-04-09-exp_w2v2t_portuguese_norwegian_pretraining_s84_pt

* Add model 2025-04-09-sent_bert_base_uncased_finetuned_mol_mlm_0_3_en

* Add model 2025-04-09-sent_tlm_rct_20k_large_scale_pipeline_en

* Add model 2025-04-08-jen_122_pipeline_en

* Add model 2025-04-09-dkulchar_pipeline_en

* Add model 2025-04-09-pico8degalaleo_pipeline_en

* Add model 2025-04-09-dialogpt_medium_captainprice_extended_en

* Add model 2025-04-09-wav2vec2_gujarati_stt_pipeline_en

* Add model 2025-04-08-smids_5x_deit_small_rms_00001_fold1_en

* Add model 2025-04-09-sent_minilm_l12_h384_uncased_finetuned_imdb_en

* Add model 2025-04-09-bert_suicide_detection_hk_large_nepal_bhasa_pipeline_en

* Add model 2025-04-09-distilbert_base_uncased_news_sentiment_finetuned_english_en

* Add model 2025-04-08-monopolyfornite_en

* Add model 2025-04-08-dialogpt_small_shy_en

* Add model 2025-04-09-distilbert_token_itr0_0_0001_editorials_01_03_2022_15_20_12_pipeline_en

* Add model 2025-04-09-kehlani_pipeline_en

* Add model 2025-04-09-burmese_awesome_humanaction_model_pipeline_en

* Add model 2025-04-09-tigers_side_vit_en

* Add model 2025-04-09-stp_classifier_13_1_en

* Add model 2025-04-08-nepali_grammar_error_detection_20250311_1323_en

* Add model 2025-04-09-mldz4shad_en

* Add model 2025-04-09-exp_w2v2t_swedish_northern_sami_xlsr_53_s328_en

* Add model 2025-04-09-bert_base_uncased_token_itr0_0_0001_train_essays_test_test_set_05_03_2022_05_58_31_en

* Add model 2025-04-09-wav2vec2_xlsr_53_marathi_large_en

* Add model 2025-04-09-hushem_5x_deit_small_adamax_0001_fold1_pipeline_en

* Add model 2025-04-09-lora_toxic_comment_pipeline_en

* Add model 2025-04-09-absa_turkish_bert_based_small_tr

* Add model 2025-04-08-smids_1x_deit_tiny_rms_001_fold5_en

* Add model 2025-04-09-wav2vec2_base_timit_demo_colab_bsen_pipeline_en

* Add model 2025-04-09-bert_base_turkish_sentiment_analysis_pipeline_tr

* Add model 2025-04-09-bert_base_turkish_sentiment_analysis_tr

* Add model 2025-04-09-bert_base_turkish_offensive_pipeline_tr

* Add model 2025-04-09-document_type_identification_en

* Add model 2025-04-09-sent_bnbert_pipeline_en

* Add model 2025-04-09-wav2vec2_large_xls_r_300m_tamil_colab_aakhilesh_en

* Add model 2025-04-08-sent_mbert_tlm_sent_english_chinese_en

* Add model 2025-04-08-pii_protection_model_pipeline_en

* Add model 2025-04-09-bert_tiny_finetuned_xglue_ner_en

* Add model 2025-04-08-wav2vec2_large_xls_r_300m_urdu_colab_pipeline_en

* Add model 2025-04-09-sent_bert_base_uncased_issues_128_xxr_pipeline_en

* Add model 2025-04-09-sent_mbert_tlm_chat_english_german_en

* Add model 2025-04-09-db_slr_1_1e_en

* Add model 2025-04-08-cher_pipeline_en

* Add model 2025-04-09-wav2vec2_base_libir_zenodo_pipeline_en

* Add model 2025-04-09-vit_epochs5_batch32_lr5e_05_size224_tiles4_seed3_q3_dropout_v2_en

* Add model 2025-04-09-wav2vec2_base_test_pipeline_en

* Add model 2025-04-09-lesseyecontact_en

* Add model 2025-04-09-wav2vec2_base_swbd_turn_eos_long_short_utt_removed_5percent_pipeline_en

* Add model 2025-04-09-micbucci_pipeline_en

* Add model 2025-04-09-veganseltzer_pipeline_en

* Add model 2025-04-08-dialogpt_medium_ff7_en

* Add model 2025-04-09-sent_storieslm_v1_1945_pipeline_en

* Add model 2025-04-09-sent_mbert_tlm_chat_english_chinese_pipeline_en

* Add model 2025-04-09-dialogpt_medium_milo_en

* Add model 2025-04-09-dataandme_en

* Add model 2025-04-09-lumetroid_en

* Add model 2025-04-09-dialogpt_medium_milo_pipeline_en

* Add model 2025-04-09-bbcqos_fitslut63_kellyg_official_en

* Add model 2025-04-09-stp_classifier_13_1_pipeline_en

* Add model 2025-04-09-vit_base_beans_demo_v5_hwooo92_pipeline_en

* Add model 2025-04-09-ridiculouscrabs_en

* Add model 2025-04-08-autotrain_20_12_2022_exam_part3_2543877946_pipeline_en

* Add model 2025-04-09-zemfira_en

* Add model 2025-04-09-michaeltrazzi_pipeline_en

* Add model 2025-04-09-absa_turkish_bert_based_small_pipeline_tr

* Add model 2025-04-09-gunna_pipeline_en

* Add model 2025-04-09-ourqueeningreen_pipeline_en

* Add model 2025-04-09-jenslennartsson_pipeline_en

* Add model 2025-04-09-sent_bottleneckbertsmall_en

* Add model 2025-04-09-dialogpt_mid_hpai_en

* Add model 2025-04-09-shelbythanna_en

* Add model 2025-04-09-macintoxic_en

* Add model 2025-04-09-square_rundi_square_rundi_second_vote_full_pic_25_age_gender_en

* Add model 2025-04-09-sent_first_try_rubert_200_16_16_25ep_en

* Add model 2025-04-09-postpostpostr_en

* Add model 2025-04-09-richardsocher_en

* Add model 2025-04-09-bert_base_german_cased_finetuned_subj_v1_pipeline_en

* Add model 2025-04-09-guggersylvain_pipeline_en

* Add model 2025-04-09-guggersylvain_en

* Add model 2025-04-09-macegrunow_en

* Add model 2025-04-09-macegrunow_pipeline_en

* Add model 2025-04-09-nueclear333_pipeline_en

* Add model 2025-04-09-olikuchi_en

* Add model 2025-04-09-wav2vec2_large_xlsr_53_full_train_full_train_pipeline_en

* Add model 2025-04-09-lanalilligant_en

* Add model 2025-04-08-peppa_pipeline_en

* Add model 2025-04-08-3_epochs_classifier_en

* Add model 2025-04-08-bert_base_greek_uncased_v1_finetuned_ner_pipeline_en

* Add model 2025-04-09-deit_base_patch16_224_rice_leaf_disease_augmented_tagalog_pipeline_en

* Add model 2025-04-08-wav2vec2_large_xlsr_estonian_m3hrdadfi_pipeline_et

* Add model 2025-04-08-sent_bert_base_uncased_multi_128_pipeline_en

* Add model 2025-04-09-mspunks_en

* Add model 2025-04-09-mspunks_pipeline_en

* Add model 2025-04-09-vit_base_patch16_224_masaratti_pipeline_en

* Add model 2025-04-09-burmese_awesome_emotion_identifier_model_en

* Add model 2025-04-09-wav2vec2_large_xls_r_300m_chichewa_colab_en

* Add model 2025-04-09-lesseyecontact_pipeline_en

* Add model 2025-04-07-dialogpt_small_rick_havokx_pipeline_en

* Add model 2025-04-08-wav2vec2_large_uralic_voxpopuli_v2_sami_parl_ext_ft_en

* Add model 2025-04-09-dnlklr_pipeline_en

* Add model 2025-04-09-wav2vec2_base_cynthia_timit_pipeline_en

* Add model 2025-04-09-mri_classifier_djibri_pipeline_en

* 2025-04-11-smolvlm_instruct_int4_en (#14550)

* Add model 2025-04-11-smolvlm_instruct_int4_en

* Add model 2025-04-14-paligemma_3b_pt_224_int4_en

* Add model 2025-04-15-paligemma_3b_ft_vqav2_448_int4_en

* Add model 2025-04-15-paligemma_3b_pt_224_int4_en

* Add model 2025-04-15-paligemma2_3b_pt_448_int4_en

* Add model 2025-04-15-paligemma2_3b_mix_224_int4_en

* Add model 2025-04-28-gemma_3_4b_it_int4_en

* Add model 2025-04-28-gemma_3_4b_pt_int4_en

---------

Co-authored-by: prabod <prabod@rathnayaka.me>

* 2025-05-16-internvl2_1b_int4_en (#14577)

* Add model 2025-05-16-internvl2_1b_int4_en

* Add model 2025-05-16-internvl2_5_1b_int4_en

* Add model 2025-05-16-internvl3_1b_int4_en

* Add model 2025-05-16-internvl3_2b_int4_en

* Add model 2025-05-16-internvl3_8b_int4_en

* Add model 2025-05-16-internvl2_5_4b_int4_en

* Add model 2025-05-27-florence_2_base_ft_int4_en

* Add model 2025-05-27-florence_2_base_int4_en

* Add model 2025-05-27-florence_2_large_ft_int4_en

* Add model 2025-05-27-florence_2_large_int4_en

---------

Co-authored-by: prabod <prabod@rathnayaka.me>

* 2025-05-17-internvl3_8b_int4_en (#14580)

* Add model 2025-05-17-internvl3_8b_int4_en

* Add model 2025-05-20-mmarco_mminilmv2_l12_h384_v1_nreimers_en

* Add model 2025-05-20-mmarco_mminilmv2_l12_h384_v1_nreimers_pipeline_en

* Add model 2025-05-20-bge_reranker_base_baai_en

* Add model 2025-05-20-xlm_roberta_base_language_detection_xx

* Add model 2025-05-20-bge_reranker_base_baai_pipeline_en

* Add model 2025-05-20-xlm_roberta_base_language_detection_pipeline_xx

* Add model 2025-05-20-twitter_xlm_roberta_base_sentiment_multilingual_xx

* Add model 2025-05-20-korean_reranker_ko

* Add model 2025-05-20-korean_reranker_pipeline_ko

* Add model 2025-05-20-twitter_xlm_roberta_base_sentiment_multilingual_pipeline_xx

* Add model 2025-05-20-bce_reranker_base_v1_maidalun1020_pipeline_en

* Add model 2025-05-20-bce_reranker_base_v1_maidalun1020_en

* Add model 2025-05-20-multilingual_iptc_news_topic_classifier_xx

* Add model 2025-05-20-bge_reranker_v2_m3_en

* Add model 2025-05-20-multilingual_iptc_news_topic_classifier_pipeline_xx

* Add model 2025-05-20-bge_reranker_v2_m3_pipeline_en

* Add model 2025-05-20-xlm_roberta_base_romanian_ner_ronec_ro

* Add model 2025-05-20-xlm_roberta_ner_japanese_ja

* Add model 2025-05-20-xlm_roberta_base_romanian_ner_ronec_pipeline_ro

* Add model 2025-05-20-xlm_roberta_ner_japanese_pipeline_ja

* Add model 2025-05-20-xlm_roberta_large_finetuned_conll03_english_xx

* Add model 2025-05-20-xlm_roberta_large_finetuned_conll03_german_xx

* Add model 2025-05-20-fullstop_punctuation_multilang_large_en

* Add model 2025-05-20-xlm_roberta_large_finetuned_conll03_english_pipeline_xx

* Add model 2025-05-20-fullstop_punctuation_multilang_large_pipeline_en

* Add model 2025-05-20-xlm_roberta_large_finetuned_conll03_german_pipeline_xx

* Add model 2025-05-20-xlm_roberta_large_ner_spanish_es

* Add model 2025-05-20-sent_twitter_xlm_roberta_base_en

* Add model 2025-05-20-sent_twitter_xlm_roberta_base_pipeline_en

* Add model 2025-05-20-sent_infoxlm_base_en

* Add model 2025-05-20-sent_mminilmv2_l12_h384_distilled_from_xlmr_large_en

* Add model 2025-05-20-sent_infoxlm_base_pipeline_en

* Add model 2025-05-20-sent_mminilmv2_l12_h384_distilled_from_xlmr_large_pipeline_en

* Add model 2025-05-20-sent_infoxlm_large_en

* Add model 2025-05-20-sent_xlm_roberta_large_xx

* Add model 2025-05-21-clip_vit_base_patch16_en

* Add model 2025-05-21-fashion_clip_en

* Add model 2025-05-21-clip_vit_base_patch16_pipeline_en

* Add model 2025-05-21-fashion_clip_pipeline_en

* Add model 2025-05-21-zero_shot_classifier_clip_vit_base_patch32_en

* Add model 2025-05-21-zero_shot_classifier_clip_vit_base_patch32_pipeline_en

* Add model 2025-05-21-clip_vit_large_patch14_336_en

* Add model 2025-05-21-xlmroberta_qa_ukrainian_uk

* Add model 2025-05-21-xlmroberta_qa_ukrainian_pipeline_uk

* Add model 2025-05-21-xlm_roberta_qa_xlm_roberta_base_arabic_ar

* Add model 2025-05-21-xlm_roberta_qa_xlm_roberta_base_arabic_pipeline_ar

* Add model 2025-05-21-xlm_roberta_qa_xlm_roberta_base_squad2_distilled_en

* Add model 2025-05-21-xlm_roberta_qa_xlm_roberta_base_squad2_distilled_pipeline_en

* Add model 2025-05-21-xlmr_large_qa_persian_farsi_fa

* Add model 2025-05-21-persian_xlm_roberta_large_en

* Add model 2025-05-21-xlmr_large_qa_persian_farsi_pipeline_fa

* Add model 2025-05-21-persian_xlm_roberta_large_pipeline_en

* Add model 2025-05-21-xlm_roberta_large_qa_multilingual_finedtuned_russian_xx

* Add model 2025-05-21-xlm_roberta_large_qa_multilingual_finedtuned_russian_pipeline_xx

* Add model 2025-05-21-xlm_roberta_large_xquad_en

* Add model 2025-05-21-xlm_roberta_large_xquad_pipeline_en

* Add model 2025-05-21-mminilmv2_l12_h384_distilled_from_xlmr_large_en

* Add model 2025-05-21-mminilmv2_l12_h384_distilled_from_xlmr_large_pipeline_en

* Add model 2025-05-21-twitter_xlm_roberta_base_en

* Add model 2025-05-21-twitter_xlm_roberta_base_pipeline_en

* Add model 2025-05-21-xlm_roberta_base_xx

* Add model 2025-05-21-xlm_roberta_base_pipeline_xx

* Add model 2025-05-21-infoxlm_large_en

* Add model 2025-05-21-infoxlm_base_en

* Add model 2025-05-21-infoxlm_base_pipeline_en

* Add model 2025-05-21-xlm_roberta_large_xx

* Add model 2025-05-21-xlm_v_base_xx

* Add model 2025-05-21-infoxlm_large_pipeline_en

* Add model 2025-05-21-xlm_roberta_large_pipeline_xx

* Add model 2025-05-21-xlm_v_base_pipeline_xx

* Add model 2025-05-21-robbert_v2_dutch_ner_nl

* Add model 2025-05-21-roberta_large_ner_english_en

* Add model 2025-05-21-robbert_v2_dutch_ner_pipeline_nl

* Add model 2025-05-21-roberta_large_tweetner7_all_en

* Add model 2025-05-21-roberta_large_ner_english_pipeline_en

* Add model 2025-05-21-roberta_token_classifier_sayula_popoluca_tagger_id

* Add model 2025-05-21-roberta_token_classifier_sayula_popoluca_tagger_pipeline_id

* Add model 2025-05-21-roberta_large_tweetner7_all_pipeline_en

* Add model 2025-05-22-twitter_roberta_base_sentiment_en

* Add model 2025-05-22-roberta_hate_speech_dynabench_r4_target_en

* Add model 2025-05-22-twitter_roberta_base_sentiment_latest_en

* Add model 2025-05-22-robertuito_sentiment_analysis_pipeline_es

* Add model 2025-05-22-roberta_base_go_emotions_en

* Add model 2025-05-22-roberta_hate_speech_dynabench_r4_target_pipeline_en

* Add model 2025-05-22-roberta_classifier_emotion_english_distil_base_pipeline_en

* Add model 2025-05-22-robertuito_sentiment_analysis_es

* Add model 2025-05-22-twitter_roberta_base_sentiment_latest_pipeline_en

* Add model 2025-05-22-twitter_roberta_base_sentiment_pipeline_en

* Add model 2025-05-22-roberta_classifier_emotion_english_distil_base_en

* Add model 2025-05-22-roberta_large_mnli_pipeline_en

* Add model 2025-05-22-roberta_large_mnli_en

* Add model 2025-05-22-roberta_base_go_emotions_pipeline_en

* Add model 2025-05-22-twitter_roberta_base_sentiment_latest_en

* Add model 2025-05-22-roberta_hate_speech_dynabench_r4_target_en

* Add model 2025-05-22-twitter_roberta_base_sentiment_en

* Add model 2025-05-22-robertuito_sentiment_analysis_pipeline_es

* Add model 2025-05-22-twitter_roberta_base_sentiment_pipeline_en

* Add model 2025-05-22-roberta_base_go_emotions_pipeline_en

* Add model 2025-05-22-roberta_hate_speech_dynabench_r4_target_pipeline_en

* Add model 2025-05-22-roberta_classifier_emotion_english_distil_base_en

* Add model 2025-05-22-robertuito_sentiment_analysis_es

* Add model 2025-05-22-roberta_large_mnli_en

* Add model 2025-05-22-roberta_large_mnli_pipeline_en

* Add model 2025-05-22-roberta_classifier_emotion_english_distil_base_pipeline_en

* Add model 2025-05-22-roberta_base_go_emotions_en

* Add model 2025-05-22-twitter_roberta_base_sentiment_latest_pipeline_en

* Add model 2025-05-22-distilroberta_base_en

* Add model 2025-05-22-codebert_python_en

* Add model 2025-05-22-distilroberta_base_pipeline_en

* Add model 2025-05-22-roberta_base_en

* Add model 2025-05-22-chemberta_zinc_base_v1_en

* Add model 2025-05-22-roberta_base_pipeline_en

* Add model 2025-05-22-roberta_large_en

* Add model 2025-05-22-chemberta_zinc_base_v1_pipeline_en

* Add model 2025-05-22-codebert_python_pipeline_en

* Add model 2025-05-22-roberta_large_pipeline_en

* Add model 2025-05-22-amd_power_dialer_v1_en

* Add model 2025-05-22-coherence_all_mpnet_base_v2_en

* Add model 2025-05-22-information_content_model_en

* Add model 2025-05-22-icelandic_nepal_bhasa_dataset_teacher_model_en

* Add model 2025-05-22-amd_full_phonetree_v1_pipeline_en

* Add model 2025-05-22-amd_partial_phonetree_v1_en

* Add model 2025-05-22-amd_partial_v1_en

* Add model 2025-05-22-burmese_setfit_classifier_threat_en

* Add model 2025-05-22-coherence_all_mpnet_base_v2_pipeline_en

* Add model 2025-05-22-hub_report_20241202125641_pipeline_en

* Add model 2025-05-22-amd_partial_v1_pipeline_en

* Add model 2025-05-22-amd_partial_phonetree_v1_pipeline_en

* Add model 2025-05-22-burmese_setfit_classifier_threat_pipeline_en

* Add model 2025-05-22-setfit_model_en

* Add model 2025-05-22-icelandic_nepal_bhasa_dataset_teacher_model_pipeline_en

* Add model 2025-05-22-setfit_model_pipeline_en

* Add model 2025-05-22-amd_power_dialer_v1_pipeline_en

* Add model 2025-05-22-hub_report_20241202125641_en

* Add model 2025-05-22-amd_full_phonetree_v1_en

* Add model 2025-05-22-information_content_model_pipeline_en

* Add model 2025-05-22-autotrain_kjxi3_hql8x_en

* Add model 2025-05-22-multi_qa_mpnet_base_dot_v1_finetuned_squad2_all_en

* Add model 2025-05-22-covid_qa_mpnet_en

* Add model 2025-05-22-multi_qa_mpnet_base_dot_v1_finetuned_squad2_all_pipeline_en

* Add model 2025-05-22-covid_qa_mpnet_pipeline_en

* Add model 2025-05-22-autotrain_kjxi3_hql8x_pipeline_en

* Add model 2025-05-22-multi_qa_mpnet_base_cos_v1_sentence_transformers_en

* Add model 2025-05-22-multi_qa_mpnet_base_dot_v1_en

* Add model 2025-05-22-paraphrase_mpnet_base_v2_en

* Add model 2025-05-22-patentsberta_en

* Add model 2025-05-22-all_mpnet_base_v2_sentence_transformers_pipeline_en

* Add model 2025-05-22-multi_qa_mpnet_base_cos_v1_sentence_transformers_pipeline_en

* Add model 2025-05-22-patentsberta_pipeline_en

* Add model 2025-05-22-fin_mpnet_base_en

* Add model 2025-05-22-nli_mpnet_base_v2_en

* Add model 2025-05-22-fin_mpnet_base_pipeline_en

* Add model 2025-05-22-biolord_2023_c_en

* Add model 2025-05-22-all_mpnet_base_v2_sentence_transformers_en

* Add model 2025-05-22-paraphrase_mpnet_base_v2_pipeline_en

* Add model 2025-05-22-biolord_2023_pipeline_en

* Add model 2025-05-22-multi_qa_mpnet_base_dot_v1_pipeline_en

* Add model 2025-05-22-biolord_2023_c_pipeline_en

* Add model 2025-05-22-biolord_2023_en

* Add model 2025-05-22-nli_mpnet_base_v2_pipeline_en

* Add model 2025-05-22-e5_small_v2_intfloat_en

* Add model 2025-05-22-e5_small_en

* Add model 2025-05-22-e5_small_v2_intfloat_pipeline_en

* Add model 2025-05-22-e5_small_pipeline_en

* Add model 2025-05-22-e5_base_v2_intfloat_pipeline_en

* Add model 2025-05-22-e5_base_pipeline_en

* Add model 2025-05-22-sentence_transformers_e5_large_v2_en

* Add model 2025-05-22-e5_large_en

* Add model 2025-05-22-sentence_transformers_e5_large_v2_pipeline_en

* Add model 2025-05-22-e5_base_en

* Add model 2025-05-22-e5_base_v2_intfloat_en

* Add model 2025-05-22-e5_large_pipeline_en

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* Add model 2025-05-24-e5_small_en

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* Add model 2025-05-24-e5_small_pipeline_en

* Add model 2025-05-24-e5_base_v2_intfloat_pipeline_en

* Add model 2025-05-24-e5_small_v2_intfloat_pipeline_en

* Add model 2025-05-24-sentence_transformers_e5_large_v2_en

* Add model 2025-05-24-e5_base_v2_intfloat_en

* Add model 2025-05-24-e5_large_en

* Add model 2025-05-24-e5_base_pipeline_en

* Add model 2025-05-24-sentence_transformers_e5_large_v2_pipeline_en

* Add model 2025-05-24-e5_large_v2_intfloat_en

* Add model 2025-05-24-e5_large_pipeline_en

* Add model 2025-05-24-e5_base_en

* Add model 2025-05-25-distilbert_tok_classifier_typo_detector_en

* Add model 2025-05-25-biomedical_ner_all_d4data_en

* Add model 2025-05-25-distilbert_ner_distilbert_base_cased_finetuned_conll03_english_en

* Add model 2025-05-25-distilbert_ner_distilbert_base_cased_finetuned_conll03_english_pipeline_en

* Add model 2025-05-25-distilbert_finetuned_ai4privacy_v2_en

* Add model 2025-05-25-distilbert_ner_distilbert_base_multilingual_cased_ner_hrl_nl

* Add model 2025-05-25-biomedical_ner_all_d4data_pipeline_en

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* Add model 2025-05-25-distilbert_token_classifier_keyphrase_extraction_inspec_pipeline_en

* Add model 2025-05-25-chonky_distilbert_base_uncased_1_en

* Add model 2025-05-25-distilbert_ner_dslim_en

* Add model 2025-05-25-distilbert_tok_classifier_typo_detector_pipeline_en

* Add model 2025-05-25-chonky_distilbert_base_uncased_1_pipeline_en

* Add model 2025-05-25-distilbert_finetuned_ai4privacy_v2_pipeline_en

* Add model 2025-05-25-distilbert_base_multilingual_cased_pii_pipeline_xx

* Add model 2025-05-25-distilbert_ner_distilbert_base_multilingual_cased_ner_hrl_pipeline_nl

* Add model 2025-05-25-distilbert_ner_dslim_pipeline_en

* Add model 2025-05-25-distilbert_token_classifier_keyphrase_extraction_inspec_en

* Add model 2025-05-25-distilbert_base_uncased_go_emotions_student_en

* Add model 2025-05-25-toxic_comment_model_en

* Add model 2025-05-25-nsfw_text_classifier_en

* Add model 2025-05-25-distilbert_nsfw_text_classifier_pipeline_en

* Add model 2025-05-25-distilbert_base_uncased_go_emotions_student_pipeline_en

* Add model 2025-05-25-toxic_comment_model_pipeline_en

* Add model 2025-05-25-nsfw_text_classifier_pipeline_en

* Add model 2025-05-25-distilbert_nsfw_text_classifier_en

* Add model 2025-05-25-multilingual_sentiment_analysis_xx

* Add model 2025-05-25-multilingual_sentiment_analysis_pipeline_xx

* Add model 2025-05-27-thainer_corpus_v2_base_model_th

* Add model 2025-05-27-thainer_corpus_v2_base_model_pipeline_th

* Add model 2025-05-27-phayathaibert_thainer_th

* Add model 2025-05-27-nermembert_base_4entities_fr

* Add model 2025-05-27-cas_biomedical_sayula_popoluca_tagging_fr

* Add model 2025-05-27-phayathaibert_thainer_pipeline_th

* Add model 2025-05-27-nermembert_large_3entities_fr

* Add model 2025-05-27-nermembert_large_3entities_pipeline_fr

* Add model 2025-05-27-cas_biomedical_sayula_popoluca_tagging_pipeline_fr

* Add model 2025-05-27-nermembert_base_4entities_pipeline_fr

* Add model 2025-05-27-rubert_base_cased_nli_threeway_ru

* Add model 2025-05-27-rubert_base_cased_nli_threeway_pipeline_ru

---------

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

* Add model 2025-06-10-e5v_int4_en (#14599)

Co-authored-by: prabod <prabod@rathnayaka.me>

* Add model 2025-06-23-minilm_l6_v2_en

* Add model 2025-06-22-bert_classifier_finbert_tone_en

* Add model 2025-06-22-bert_classifier_finbert_tone_pipeline_en

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* Add model 2025-06-22-bert_base_multilingual_uncased_sentiment_xx

* Add model 2025-06-22-bert_base_multilingual_uncased_sentiment_pipeline_xx

* Add model 2025-06-22-finbert_en

* Add model 2025-06-22-bert_base_multilingual_cased_google_bert_xx

* Add model 2025-06-22-bert_base_multilingual_cased_google_bert_pipeline_xx

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* Add model 2025-06-22-sent_bert_base_multilingual_cased_xx

* Add model 2025-06-22-sent_bert_base_multilingual_cased_pipeline_xx

* Add model 2025-06-22-sent_bert_base_cased_en

* Add model 2025-06-22-sent_bert_base_cased_pipeline_en

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* Add model 2025-06-22-sent_bert_base_uncased_en

* Add model 2025-06-22-camembert_bio_base_fr

* Add model 2025-06-22-camembert_bio_base_pipeline_fr

* Add model 2025-06-22-drbert_7gb_fr

* Add model 2025-06-22-umberto_commoncrawl_cased_v1_it

* Add model 2025-06-22-camembert_base_fr

* Add model 2025-06-22-umberto_commoncrawl_cased_v1_pipeline_it

* Add model 2025-06-22-drbert_7gb_pipeline_fr

* Add model 2025-06-22-sloberta_pipeline_sl

* Add model 2025-06-22-camembert_base_pipeline_fr

* Add model 2025-06-22-sloberta_sl

* Add model 2025-06-22-wangchanberta_finetuned_sentiment_th

* Add model 2025-06-22-wangchanberta_finetuned_sentiment_pipeline_th

* Add model 2025-06-22-feel_italian_italian_emotion_it

* Add model 2025-06-22-feel_italian_italian_sentiment_it

* Add model 2025-06-22-finance_sentiment_french_base_fr

* Add model 2025-06-22-feel_italian_italian_emotion_pipeline_it

* Add model 2025-06-22-finance_sentiment_french_base_pipeline_fr

* Add model 2025-06-22-ag_nli_dets_sentence_similarity_v4_pipeline_xx

* Add model 2025-06-22-ag_nli_dets_sentence_similarity_v4_xx

* Add model 2025-06-22-feel_italian_italian_sentiment_pipeline_it

* Add model 2025-06-24-efficient_splade_vietnamese_bt_large_doc_en

* Add model 2025-06-24-distilbert_base_cased_en

* Add model 2025-06-24-distilbert_base_multilingual_cased_pipeline_xx

* Add model 2025-06-24-distilbert_base_german_cased_de

* Add model 2025-06-24-distilbert_base_cased_pipeline_en

* Add model 2025-06-24-distilbert_base_multilingual_cased_xx

* Add model 2025-06-24-distilbert_base_uncased_en

* Add model 2025-06-24-opensearch_neural_sparse_encoding_v2_distill_en

* Add model 2025-06-24-opensearch_neural_sparse_encoding_v2_distill_pipeline_en

* Add model 2025-06-24-distilbert_base_uncased_pipeline_en

* Add model 2025-06-24-efficient_splade_vietnamese_bt_large_doc_pipeline_en

* Add model 2025-06-24-clinicalbert_pipeline_en

* Add model 2025-06-24-opensearch_neural_sparse_encoding_doc_v2_distill_pipeline_en

* Add model 2025-06-24-opensearch_neural_sparse_encoding_doc_v2_distill_en

* Add model 2025-06-24-clinicalbert_en

* Add model 2025-06-24-distilbert_base_german_cased_pipeline_de

* Add model 2025-06-24-tiny_distilbert_base_cased_distilled_squad_en

* Add model 2025-06-24-tiny_distilbert_base_cased_distilled_squad_pipeline_en

* Add model 2025-06-24-distilbert_base_uncased_distilled_squad_distilbert_en

* Add model 2025-06-24-distilbert_base_uncased_distilled_squad_distilbert_pipeline_en

* Add model 2025-06-24-question_answering_v2_pipeline_en

* Add model 2025-06-24-distilbert_base_cased_distilled_squad_distilbert_en

* Add model 2025-06-24-distilbert_base_uncased_finetuned_squad_full_pipeline_en

* Add model 2025-06-24-distilbert_base_cased_distilled_squad_distilbert_pipeline_en

* Add model 2025-06-24-question_answering_v2_en

* Add model 2025-06-24-distilbert_base_uncased_finetuned_squad_full_en

* Add model 2025-06-24-hubert_large_japanese_asr_ja

* Add model 2025-06-24-hubert_large_arabic_egyptian_ar

* Add model 2025-06-24-hubert_large_japanese_asr_pipeline_ja

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* Add model 2025-06-24-distilbart_mnli_12_6_pipeline_en

* Add model 2025-06-24-distilbart_mnli_12_1_en

* Add model 2025-06-24-awesome_fb_model_en

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* Add model 2025-06-24-distilbart_mnli_12_9_en

* Add model 2025-06-24-bart_mnli_cnn_256_en

* Add model 2025-06-24-awesome_fb_model_pipeline_en

* Add model 2025-06-24-bart_large_mnli_yahoo_answers_joeddav_pipeline_en

* Add model 2025-06-24-bart_large_mnli_yahoo_answers_joeddav_en

* Add model 2025-07-03-phi_3.5_mini_instruct_int4_en

* 2025-07-15-bge_medembed_base_v0_1_openvino_en (#14629)

* Add model 2025-07-15-bge_medembed_base_v0_1_openvino_en

* Add model 2025-07-15-bge_medembed_large_v0_1_openvino_en

* Add model 2025-07-15-all_mpnet_base_v2_openvino_en

* Update 2025-07-15-bge_medembed_base_v0_1_openvino_en.md

* Update 2025-07-15-bge_medembed_large_v0_1_openvino_en.md

* Add model 2025-07-18-nuextract_2.0_2B_en

---------

Co-authored-by: AbdullahMubeenAnwar <bdllhmubeen@gmail.com>
Co-authored-by: Abdullah mubeen <77073730+AbdullahMubeenAnwar@users.noreply.github.com>

---------

Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
Co-authored-by: jsl-models <74001263+jsl-models@users.noreply.github.com>
Co-authored-by: prabod <prabod@rathnayaka.me>
Co-authored-by: AbdullahMubeenAnwar <bdllhmubeen@gmail.com>
Co-authored-by: Abdullah mubeen <77073730+AbdullahMubeenAnwar@users.noreply.github.com>

Author: 5 people

docs/_posts/AbdullahMubeenAnwar/2025-07-15-all_mpnet_base_v2_openvino_en.md

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+---
+layout: model
+title: all-mpnet-base-v2 from sentence-transformers OpenVINO
+author: John Snow Labs
+name: all_mpnet_base_v2_openvino
+date: 2025-07-15
+tags: [openvino, english, embedding, open_source, mpnet, en]
+task: Embeddings
+language: en
+edition: Spark NLP 6.0.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: MPNetEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This is a sentence-transformers model: It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+This model is intended to be used as a sentence and short paragraph encoder. Given an input text, it outputs a vector that captures the semantic information. The sentence vector may be used for information retrieval, clustering, or sentence similarity tasks.
+
+By default, input text longer than 384 word pieces is truncated.
+
+{:.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/all_mpnet_base_v2_openvino_en_6.0.0_3.0_1752610809513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_openvino_en_6.0.0_3.0_1752610809513.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
+from sparknlp.base import DocumentAssembler
+from sparknlp.annotator import MPNetEmbeddings
+from pyspark.ml import Pipeline
+
+document_assembler = DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+mpnet_loaded = MPNetEmbeddings.load("all_mpnet_base_v2_openvino")\
+    .setInputCols(["document"])\
+    .setOutputCol("mpnet_embeddings")\
+
+pipeline = Pipeline(
+    stages = [
+        document_assembler,
+        mpnet_loaded
+  ])
+
+data = spark.createDataFrame([
+    ['William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist.']
+]).toDF("text")
+
+model = pipeline.fit(data)
+result = model.transform(data)
+
+result.selectExpr("explode(mpnet_embeddings.embeddings) as embeddings").show()
+
+```
+```scala
+import com.johnsnowlabs.nlp.base.DocumentAssembler
+import com.johnsnowlabs.nlp.embeddings.MPNetEmbeddings
+import org.apache.spark.ml.Pipeline
+import org.apache.spark.sql.functions.explode
+import spark.implicits._
+
+val documentAssembler = new DocumentAssembler()
+  .setInputCol("text")
+  .setOutputCol("document")
+
+val mpnetEmbeddings = MPNetEmbeddings.load("all_mpnet_base_v2_openvino")
+  .setInputCols("document")
+  .setOutputCol("mpnet_embeddings")
+
+val pipeline = new Pipeline().setStages(Array(
+  documentAssembler,
+  mpnetEmbeddings
+))
+
+val data = Seq(
+  "William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist."
+).toDF("text")
+
+val model = pipeline.fit(data)
+val result = model.transform(data)
+
+result.select(explode($"mpnet_embeddings.embeddings").alias("embeddings")).show(false)
+
+```
+</div>
+
+## Results
+
+```bash
+
++--------------------+
+|          embeddings|
++--------------------+
+|[-0.020282388, 0....|
++--------------------+
+
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_openvino|
+|Compatibility:|Spark NLP 6.0.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet_embeddings]|
+|Language:|en|
+|Size:|406.5 MB|

docs/_posts/AbdullahMubeenAnwar/2025-07-15-bge_medembed_base_v0_1_openvino_en.md

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+---
+layout: model
+title: "MedEmbed base: Specialized Embedding Model for Medical and Clinical Information Retrieval (OpenVINO)"
+author: John Snow Labs
+name: bge_medembed_base_v0_1_openvino
+date: 2025-07-15
+tags: [openvino, english, medical_embedding, clinical_embedding, information_retrieval, open_source, bge, en]
+task: Embeddings
+language: en
+edition: Spark NLP 6.0.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: BGEEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+MedEmbed is a family of embedding models fine-tuned specifically for medical and clinical data, designed to enhance performance in healthcare-related natural language processing (NLP) tasks, particularly information retrieval.
+
+GitHub Repo: https://github.com/abhinand5/MedEmbed
+Technical Blog Post: https://huggingface.co/blog/abhinand/medembed-finetuned-embedding-models-for-medical-ir
+
+This model is intended for use in medical and clinical contexts to improve information retrieval, question answering, and semantic search tasks. It can be integrated into healthcare systems, research tools, and medical literature databases to enhance search capabilities and information access.
+
+{:.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/bge_medembed_base_v0_1_openvino_en_6.0.0_3.0_1752605366919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_medembed_base_v0_1_openvino_en_6.0.0_3.0_1752605366919.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
+from sparknlp.base import DocumentAssembler
+from sparknlp.annotator import BGEEmbeddings
+from pyspark.ml import Pipeline
+
+document_assembler = DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+bge_loaded = BGEEmbeddings.load("bge_medembed_base_v0_1_openvino")\
+    .setInputCols(["document"])\
+    .setOutputCol("embeddings")\
+
+pipeline = Pipeline(
+    stages = [
+        document_assembler,
+        bge_loaded
+  ])
+
+data = spark.createDataFrame([
+    ['William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist.']
+]).toDF("text")
+
+model = pipeline.fit(data)
+result = model.transform(data)
+
+result.selectExpr("explode(embeddings.embeddings) as embeddings").show()
+
+```
+```scala
+import com.johnsnowlabs.nlp.base.DocumentAssembler
+import com.johnsnowlabs.nlp.embeddings.BGEEmbeddings
+import org.apache.spark.ml.Pipeline
+import org.apache.spark.sql.functions.explode
+import spark.implicits._
+
+val documentAssembler = new DocumentAssembler()
+  .setInputCol("text")
+  .setOutputCol("document")
+
+val bgeEmbeddings = BGEEmbeddings.load("bge_medembed_base_v0_1_openvino")
+  .setInputCols("document")
+  .setOutputCol("bge")
+
+val pipeline = new Pipeline().setStages(Array(
+  documentAssembler,
+  bgeEmbeddings
+))
+
+val data = Seq(
+  "William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist."
+).toDF("text")
+
+val model = pipeline.fit(data)
+val result = model.transform(data)
+
+result.select(explode($"bge.embeddings").alias("embeddings")).show(false)
+
+```
+</div>
+
+## Results
+
+```bash
+
++--------------------+
+|          embeddings|
++--------------------+
+|[-0.055220805, 0....|
++--------------------+
+
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_medembed_base_v0_1_openvino|
+|Compatibility:|Spark NLP 6.0.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|389.7 MB|

docs/_posts/AbdullahMubeenAnwar/2025-07-15-bge_medembed_large_v0_1_openvino_en.md

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+---
+layout: model
+title: "MedEmbed large: Specialized Embedding Model for Medical and Clinical Information Retrieval (OpenVINO)"
+author: John Snow Labs
+name: bge_medembed_large_v0_1_openvino
+date: 2025-07-15
+tags: [openvino, english, medical_embedding, clinical_embedding, information_retrieval, open_source, bge, en]
+task: Embeddings
+language: en
+edition: Spark NLP 6.0.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: BGEEmbeddings
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+MedEmbed is a family of embedding models fine-tuned specifically for medical and clinical data, designed to enhance performance in healthcare-related natural language processing (NLP) tasks, particularly information retrieval.
+
+GitHub Repo: https://github.com/abhinand5/MedEmbed
+Technical Blog Post: https://huggingface.co/blog/abhinand/medembed-finetuned-embedding-models-for-medical-ir
+
+This model is intended for use in medical and clinical contexts to improve information retrieval, question answering, and semantic search tasks. It can be integrated into healthcare systems, research tools, and medical literature databases to enhance search capabilities and information access.
+
+{:.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/bge_medembed_large_v0_1_openvino_en_6.0.0_3.0_1752608614322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_medembed_large_v0_1_openvino_en_6.0.0_3.0_1752608614322.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
+from sparknlp.base import DocumentAssembler
+from sparknlp.annotator import BGEEmbeddings
+from pyspark.ml import Pipeline
+
+document_assembler = DocumentAssembler()\
+    .setInputCol("text")\
+    .setOutputCol("document")
+
+bge_loaded = BGEEmbeddings.load("bge_medembed_large_v0_1_openvino")\
+    .setInputCols(["document"])\
+    .setOutputCol("embeddings")\
+
+pipeline = Pipeline(
+    stages = [
+        document_assembler,
+        bge_loaded
+  ])
+
+data = spark.createDataFrame([
+    ['William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist.']
+]).toDF("text")
+
+model = pipeline.fit(data)
+result = model.transform(data)
+
+result.selectExpr("explode(embeddings.embeddings) as embeddings").show()
+
+```
+```scala
+import com.johnsnowlabs.nlp.base.DocumentAssembler
+import com.johnsnowlabs.nlp.embeddings.BGEEmbeddings
+import org.apache.spark.ml.Pipeline
+import org.apache.spark.sql.functions.explode
+import spark.implicits._
+
+val documentAssembler = new DocumentAssembler()
+  .setInputCol("text")
+  .setOutputCol("document")
+
+val bgeEmbeddings = BGEEmbeddings.load("bge_medembed_large_v0_1_openvino")
+  .setInputCols("document")
+  .setOutputCol("bge")
+
+val pipeline = new Pipeline().setStages(Array(
+  documentAssembler,
+  bgeEmbeddings
+))
+
+val data = Seq(
+  "William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist."
+).toDF("text")
+
+val model = pipeline.fit(data)
+val result = model.transform(data)
+
+result.select(explode($"bge.embeddings").alias("embeddings")).show(false)
+
+```
+</div>
+
+## Results
+
+```bash
+
++--------------------+
+|          embeddings|
++--------------------+
+|[0.0026465012, 3....|
++--------------------+
+
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_medembed_large_v0_1_openvino|
+|Compatibility:|Spark NLP 6.0.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|