Datasets:
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HuggingBench-Classification

Dataset card Data Studio Files
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model:phamvanlinh143/bert-finetuned-ner [42]
model:tner/roberta-large-tweebank-ner [42]
model:tner/deberta-v3-large-tweebank-ner [42]
model:dsantistevan/bert-base-cased-bert-yoga-finetuned [8]
model:thusken/nb-bert-large-user-needs [32]
model:tner/roberta-large-bionlp2004 [42]
model:tner/roberta-large-mit-restaurant [42]
model:alexandrainst/da-offensive-detection-base [32]
model:tner/roberta-large-ontonotes5 [42]
model:tner/roberta-large-mit-movie-trivia [42]
model:tner/deberta-v3-large-mit-restaurant [42]
model:tner/deberta-v3-large-mit-movie-trivia [42]
model:tner/deberta-v3-large-fin [42]
model:tner/deberta-v3-large-bionlp2004 [42]
model:imodels/figs-compas-recidivism [29]
model:arvkevi/nba_pbp_distilgpt2 [33]
model:DTAI-KULeuven/robbert-2022-dutch-base [8]
model:NazaGara/NER-fine-tuned-BETO [42]
model:IDEA-CCNL/Erlangshen-DeBERTa-v2-710M-Chinese [8]
model:nickprock/xlm-roberta-base-banking77-classification [32]
model:l3cube-pune/marathi-bert-v2 [8]
model:ElnaggarLab/ankh-base [40]
model:edumunozsala/distilroberta-sentence-transformer-test [25, 7]
model:nafisehNik/mt5-persian-summary [26, 40]
model:codeparrot/unixcoder-java-complexity-prediction [32]
model:Finnish-NLP/t5-small-nl16-finnish [40]
model:CompVis/stable-diffusion-v1-3 [37]
model:CompVis/stable-diffusion-v1-2 [37]
model:vinai/bartpho-syllable-base [7]
model:tner/deberta-v3-large-ontonotes5 [42]
model:machinelearningzuu/youtube-content-summarization [40]
model:yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test [26, 40]
model:yhavinga/byt5-small-ccmatrix-en-nl [43, 40]
model:neongeckocom/stt_uk_citrinet_512_gamma_0_25 [4]
model:architext/gptj-162M [33]
model:nghuyong/ernie-3.0-medium-zh [8]
model:nghuyong/ernie-3.0-mini-zh [7]
model:nghuyong/ernie-3.0-micro-zh [7]
model:nghuyong/ernie-3.0-nano-zh [7]
model:edumunozsala/bertin-sts-cc-news-es [25, 7]
model:chris-santiago/distilbert-base-uncased-finetuned-clinc [32]
model:RJZauner/distilbert_rotten_tomatoes_sentiment_classifier [32]
model:chris-santiago/distilbert-base-uncased-distilled-clinc [32]
model:jzonthemtn/distilbert-imdb [32]
model:nlpie/bio-mobilebert [8]
model:anzorq/m2m100_418M_ft_ru-kbd_44K [43, 40]
model:Davlan/xlm-roberta-base-finetuned-arabic [8]
model:Gabriel/bart-base-cnn-swe [26, 40]
model:vinai/bartpho-word-base [7]
model:muhtasham/bert-base-uncased-tajik-ner [42]
model:jjmcarrascosa/vit_receipts_classifier [10]
model:silviacamplani/distilbert-finetuned-dapt_tapt-lm-ai [8]
model:nvidia/stt_kab_conformer_transducer_large [4]
model:rajistics/layoutlmv3-finetuned-cord_500 [42]
model:silviacamplani/distilbert-finetuned-dapt_tapt-ner-music [42]
model:abeja/gpt2-large-japanese [33]
model:nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat-kornia [10]
model:DunnBC22/distilbert-base-uncased-SpamFilter-LG [32]
model:recogna-nlp/ptt5-base-summ-xlsum [26, 40]
model:Osolon/wav2vec2-large-xls-r-300m-pl [4]
model:pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13 [26, 40]
model:haesun/bert-base-uncased-issues-128 [8]
model:rinna/japanese-gpt-neox-small [33]
model:nickmuchi/wav2vec2-base-finetuned-spgispeech-dev [4]
model:climatebert/environmental-claims [32]
model:google/pegasus-x-base [40]
model:google/pegasus-x-large [40]
model:Dinithi/BioBERT [32]
model:Luciano/bertimbau-base-finetuned-lener-br [8]
model:tianyisun/distilbert-base-uncased-finetuned-cola [32]
model:farleyknight-org-username/arxiv-summarization-t5-small [40]
model:lmqg/mt5-base-squad-qg [40]
model:research-backup/mbart-large-cc25-squad-qg [40]
model:rinna/japanese-stable-diffusion [37]
model:allenai/led-base-16384-cochrane [40]
model:rahulmallah/autotrain-emotion-detection-1366352626 [32]
model:Vasanth/bert-base-uncased-finetuned-emotion [32]
model:neuralspace/autotrain-citizen_nlu_bn-1370652766 [32]
model:eraldoluis/faquad-bert-base-portuguese-cased [22]
model:tianyisun/gpt2-finetuned-cola [32]
model:microsoft/trocr-base-str [16, 13]
model:cjber/reddit-ner-place_names [42]
model:tianyisun/opt-350m-finetuned-cola [32]
model:whaleloops/longt5-tglobal-large-16384-pubmed-10k_steps [40]
model:facebook/vit-msn-small [11]
model:facebook/vit-msn-base [11]
model:EleutherAI/polyglot-ko-3.8b [33]
model:victor/autotrain-donut-vs-croissant-1417653460 [10]
model:circulus/kobart-trans-en-ko-v2 [40]
model:prathap-reddy/autotrain-climate-text-classification-1437253674 [32]
model:bofenghuang/wav2vec2-xls-r-1b-cv9-fr [4]
model:lapix/segformer-b3-finetuned-ccagt-400-300 [12]
model:chizhikchi/cares-bert-base [32]
model:chizhikchi/cares-biobert-base [32]
model:chizhikchi/cares-roberta-clinical [32]
model:aiknowyou/all-mpnet-base-questions-clustering-en [25, 7]
model:tekraj/avodamed-synonym-generator1 [25, 7]
model:mrm8488/t5-small-finetuned-text-simplification [40]
model:slone/LaBSE-en-ru-myv-v1 [7, 8, 25]
model:slone/mbart-large-51-myv-mul-v1 [43, 40]