Datasets:
cqsss
/
HuggingBench-Classification

Dataset card Data Studio Files
xet
 Community
2
text
stringlengths
15
129
model:dimboump/glue_sst_classifier [32]
model:Alassea/glue_sst_classifier [32]
model:worldbank/bert-twitter-en-is-hired [32]
model:sangjeedondrub/tibetan-roberta-base [8]
model:jason9693/KcELECTRA-small-v2022-apeach [32]
model:yhavinga/t5-small-24L-ccmatrix-multi [43, 40]
model:anton-l/xtreme_s_xlsr_300m_fleurs_asr_western_european [4]
model:EAST/autotrain-Rule-793324440 [32]
model:anton-l/xtreme_s_xlsr_300m_fleurs_asr_en_us [4]
model:Finnish-NLP/byt5-base-finnish [40]
model:gsarti/it5-efficient-small-el32-headline-generation [40]
model:gsarti/it5-efficient-small-el32-news-summarization [26, 40]
model:gsarti/it5-efficient-small-el32-ilgiornale-to-repubblica [40]
model:gsarti/it5-efficient-small-el32-repubblica-to-ilgiornale [40]
model:pszemraj/mGPT-Peter-mwe [33]
model:megrisdal/distilbert-rater [32]
model:pile-of-law/legalbert-large-1.7M-1 [8]
model:Mim/pro-cell-expert [32]
model:thusken/nb-bert-base-target-group [32]
model:chiragasarpota/scotus-bert [32]
model:cfilt/HiNER-collapsed-muril-base-cased [42]
model:pile-of-law/legalbert-large-1.7M-2 [8]
model:anton-l/xtreme_s_xlsr_300m_voxpopuli_en [4]
model:snowood1/ConfliBERT-cont-cased [8]
model:TehranNLP-org/electra-base-sst2 [32]
model:fgaim/tiroberta-geezswitch [32]
model:cfilt/HiNER-collapsed-xlm-roberta-large [42]
model:cfilt/HiNER-original-muril-base-cased [42]
model:cfilt/HiNER-original-xlm-roberta-large [42]
model:tomh/toxigen_hatebert [32]
model:flyswot/test [10]
model:masakhane/m2m100_418M-EN-NEWS [40]
model:tartuNLP/EstBERT_NER_v2 [42]
model:kravchenko/uk-mt5-base [40]
model:efederici/it5-efficient-small-fanpage [26, 40]
model:DmitryPogrebnoy/MedRuRobertaLarge [8]
model:laituan245/molt5-small-caption2smiles [40]
model:ml4pubmed/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext_pub_section [32]
model:NbAiLab/wav2vec2-large-voxrex-npsc-nst [4]
model:anuragshas/wav2vec2-xls-r-300m-ur-cv9-with-lm [4]
model:sangjeedondrub/tibetan-roberta-causal-base [33]
model:heranm/finetuning-sentiment-model-3000-samples [32]
model:anuragshas/wav2vec2-xls-r-300m-bn-cv9-with-lm [4]
model:Wakaka/bert-finetuned-imdb [32]
model:qanastek/51-languages-classifier [32]
model:yhavinga/t5-eff-large-8l-dutch-english-cased [40]
model:thusken/nb-bert-base-ctr-regression [32]
model:KoichiYasuoka/roberta-small-coptic [8]
model:KoichiYasuoka/roberta-small-coptic-upos [42]
model:staka/fugumt-en-ja [43, 40]
model:KoichiYasuoka/roberta-base-coptic [8]
model:KoichiYasuoka/roberta-base-coptic-upos [42]
model:vitouphy/wav2vec2-xls-r-300m-timit-phoneme [4]
model:anuragshas/wav2vec2-xls-r-300m-mr-cv9-with-lm [4]
model:qanastek/XLMRoberta-Alexa-Intents-NER-NLU [42]
model:anuragshas/wav2vec2-xls-r-300m-hi-cv9-with-lm [4]
model:rasta/distilbert-base-uncased-finetuned-fashion [32]
model:Jeevesh8/bert_ft_qqp-9 [32]
model:Jeevesh8/bert_ft_qqp-39 [32]
model:Jeevesh8/bert_ft_qqp-40 [32]
model:Jeevesh8/bert_ft_qqp-55 [32]
model:Jeevesh8/bert_ft_qqp-68 [32]
model:Jeevesh8/bert_ft_qqp-88 [32]
model:Jeevesh8/bert_ft_cola-60 [32]
model:Jeevesh8/bert_ft_cola-88 [32]
model:ccdv/lsg-bart-base-4096-pubmed [26, 40]
model:ccdv/lsg-bart-base-16384-pubmed [26, 40]
model:nlp-waseda/roberta-large-japanese [8]
model:domenicrosati/QA2D-t5-small [40]
model:moghis/distilbert-base-uncased-finetuned-emotion [32]
model:domenicrosati/QA2D-t5-base [40]
model:facebook/opt-13b [33]
model:ai4bharat/IndicBART-XLSum [40]
model:taln-ls2n/POET [42]
model:AnnaWegmann/Style-Embedding [25, 7]
model:wgb14/icefall-asr-gigaspeech-pruned-transducer-stateless2 [4]
model:anuragshas/wav2vec2-xls-r-300m-or-cv9-with-lm [4]
model:VietAI/vit5-large-vietnews-summarization [26, 40]
model:Pablo94/roberta-base-bne-finetuned-detests [32]
model:Pablo94/racism-finetuned-detests [32]
model:Jeevesh8/6ep_bert_ft_cola-12 [32]
model:Jeevesh8/6ep_bert_ft_cola-29 [32]
model:Jeevesh8/6ep_bert_ft_cola-47 [32]
model:matteopilotto/vit-base-patch16-224-in21k-snacks [10]
model:Finnish-NLP/wav2vec2-base-fi-voxpopuli-v2-finetuned [4]
model:emre/turkish-sentiment-analysis [32]
model:paust/pko-t5-small [40]
model:paust/pko-t5-base [40]
model:juliensimon/sagemaker-distilbert-emotion [32]
model:leetdavid/example_workflow_model [32]
model:YSU/aspram [4]
model:vamossyd/emtract-distilbert-base-uncased-emotion [32]
model:juancopi81/bert-finetuned-ner [42]
model:microsoft/cvt-w24-384-22k [10]
model:Jeevesh8/512seq_len_6ep_bert_ft_cola-91 [32]
model:GiordanoB/mT5_multilingual_XLSum-finetuned-summarization [40]
model:bigscience/bloom-3b [33]
model:triet1102/xlm-roberta-base-finetuned-panx-de [42]
model:alk/pegasus-scitldr [40]
model:nreimers/mmarco-mMiniLMv2-L6-H384-v1 [32]