Datasets:
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HuggingBench-Classification

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model:svalabs/mt5-large-german-query-gen-v1 [40]
model:sanchit-gandhi/wav2vec2-2-bart-large-tedlium [4]
model:edbeeching/decision-transformer-gym-hopper-expert-new [7]
model:nvidia/stt_fr_conformer_transducer_large [4]
model:projecte-aina/roberta-base-ca-v2-cased-qa [22]
model:projecte-aina/roberta-base-ca-v2-cased-te [32]
model:projecte-aina/roberta-base-ca-v2-cased-tc [32]
model:projecte-aina/roberta-base-ca-v2-cased-sts [32]
model:research-backup/mbart-large-cc25-itquad-qg [40]
model:haesun/xlm-roberta-base-finetuned-panx-de [42]
model:research-backup/mbart-large-cc25-dequad-qg [40]
model:djagatiya/ner-roberta-base-ontonotesv5-englishv4 [42]
model:yuningm/bart-large-citesum [26, 40]
model:yuningm/bart-large-citesum-title [26, 40]
model:ClassCat/roberta-base-latin-v2 [8]
model:tilomichel/mT5-base-GermanQuAD-e2e-qg [40]
model:tner/bert-base-tweetner7-2020 [42]
model:tner/roberta-large-tweetner7-2021 [42]
model:tner/bert-large-tweetner7-2020 [42]
model:tner/bertweet-base-tweetner7-2020 [42]
model:tner/bertweet-large-tweetner7-2020 [42]
model:tner/roberta-large-tweetner7-all [42]
model:tner/roberta-base-tweetner7-2020 [42]
model:tner/roberta-large-tweetner7-selflabel2020 [42]
model:tner/roberta-large-tweetner7-2020 [42]
model:tner/roberta-large-tweetner7-selflabel2021 [42]
model:tner/roberta-large-tweetner7-continuous [42]
model:tner/roberta-large-tweetner7-2020-selflabel2020-all [42]
model:tner/roberta-large-tweetner7-2020-selflabel2021-all [42]
model:tner/roberta-large-tweetner7-selflabel2020-continuous [42]
model:tner/roberta-large-tweetner7-selflabel2021-continuous [42]
model:s-nlp/ruRoberta-large-paraphrase-v1 [32, 25]
model:djagatiya/ner-distilbert-base-uncased-ontonotesv5-englishv4 [42]
model:djagatiya/ner-albert-base-v2-ontonotesv5-englishv4 [42]
model:djagatiya/ner-bert-base-cased-ontonotesv5-englishv4 [42]
model:tner/twitter-roberta-base-dec2021-tweetner7-2020 [42]
model:tner/twitter-roberta-base-dec2021-tweetner7-2021 [42]
model:tner/twitter-roberta-base-dec2021-tweetner7-all [42]
model:tner/twitter-roberta-base-dec2021-tweetner7-continuous [42]
model:tner/roberta-base-tweetner7-2021 [42]
model:tner/roberta-base-tweetner7-continuous [42]
model:s-nlp/rubert-base-cased-conversational-paraphrase-v1 [32, 25]
model:postgrammar/distilbert-base-uncased-finetuned-emotion [32]
model:haesun/xlm-roberta-base-finetuned-panx-de-fr [42]
model:haesun/xlm-roberta-base-finetuned-panx-fr [42]
model:research-backup/mbart-large-cc25-ruquad-qg [40]
model:sanchit-gandhi/wav2vec2-large-tedlium [4]
model:haesun/xlm-roberta-base-finetuned-panx-it [42]
model:haesun/xlm-roberta-base-finetuned-panx-en [42]
model:haesun/xlm-roberta-base-finetuned-panx-all [42]
model:alfaneo/bertimbaulaw-base-portuguese-cased [8]
model:m-salman-a/wav2vec2-xlsr-53-common-voice-indonesian [4]
model:google/owlvit-base-patch32 [51]
model:google/owlvit-base-patch16 [51]
model:google/owlvit-large-patch14 [51]
model:HUPD/hupd-distilroberta-base [8]
model:HUPD/hupd-t5-small [26, 40]
model:KoichiYasuoka/bert-ancient-chinese-base-upos [42]
model:KoichiYasuoka/deberta-large-japanese-wikipedia [8]
model:KoichiYasuoka/deberta-large-japanese-wikipedia-luw-upos [42]
model:KoichiYasuoka/deberta-large-japanese-wikipedia-ud-head [22]
model:hugginglearners/malayalam-blurr-xlm-roberta-base [33]
model:danieleV9H/wavlm-base-plus-ft-cv3 [4]
model:mbshr/urt5-base-finetuned [26, 40]
model:pyronear/rexnet1_0x [10]
model:tner/twitter-roberta-base-dec2020-tweetner7-2020 [42]
model:tner/twitter-roberta-base-2019-90m-tweetner7-2020 [42]
model:tner/twitter-roberta-base-2019-90m-tweetner7-2021 [42]
model:tner/twitter-roberta-base-dec2020-tweetner7-2021 [42]
model:tner/twitter-roberta-base-2019-90m-tweetner7-all [42]
model:tner/twitter-roberta-base-dec2020-tweetner7-all [42]
model:MilaNLProc/hate-ita-xlm-r-large [32]
model:tner/twitter-roberta-base-2019-90m-tweetner7-continuous [42]
model:tner/twitter-roberta-base-dec2020-tweetner7-continuous [42]
model:jonatasgrosman/exp_w2v2t_en_wav2vec2_s878 [4]
model:jonatasgrosman/exp_w2v2t_en_wav2vec2_s924 [4]
model:jonatasgrosman/exp_w2v2t_en_wav2vec2_s203 [4]
model:jonatasgrosman/exp_w2v2t_en_vp-100k_s807 [4]
model:jonatasgrosman/exp_w2v2t_en_vp-100k_s421 [4]
model:jonatasgrosman/exp_w2v2t_en_vp-100k_s364 [4]
model:jonatasgrosman/exp_w2v2t_en_xlsr-53_s870 [4]
model:jonatasgrosman/exp_w2v2t_en_xlsr-53_s769 [4]
model:jonatasgrosman/exp_w2v2t_en_xlsr-53_s279 [4]
model:jonatasgrosman/exp_w2v2t_en_unispeech_s870 [4]
model:jonatasgrosman/exp_w2v2t_en_unispeech_s227 [4]
model:jonatasgrosman/exp_w2v2t_en_unispeech_s809 [4]
model:jonatasgrosman/exp_w2v2t_en_hubert_s875 [4]
model:jonatasgrosman/exp_w2v2t_en_hubert_s596 [4]
model:jonatasgrosman/exp_w2v2t_en_hubert_s877 [4]
model:jonatasgrosman/exp_w2v2t_en_vp-sv_s179 [4]
model:jonatasgrosman/exp_w2v2t_en_vp-sv_s320 [4]
model:jonatasgrosman/exp_w2v2t_en_vp-sv_s438 [4]
model:jonatasgrosman/exp_w2v2t_en_no-pretraining_s883 [4]
model:jonatasgrosman/exp_w2v2t_en_no-pretraining_s289 [4]
model:jonatasgrosman/exp_w2v2t_en_no-pretraining_s852 [4]
model:jonatasgrosman/exp_w2v2t_en_wavlm_s767 [4]
model:jonatasgrosman/exp_w2v2t_en_wavlm_s461 [4]
model:jonatasgrosman/exp_w2v2t_en_wavlm_s990 [4]
model:jonatasgrosman/exp_w2v2t_en_unispeech-ml_s377 [4]
model:jonatasgrosman/exp_w2v2t_en_unispeech-ml_s103 [4]