Datasets:
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HuggingBench-Classification

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model:infinitejoy/wav2vec2-large-xls-r-300m-maltese [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-marathi-cv8 [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-mongolian [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-odia [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-romanian [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-romansh-sursilvan [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-romansh-vallader [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-sakha [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-slovak [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-slovenian [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-tatar [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-urdu [4]
model:infinitejoy/wav2vec2-large-xls-r-300m-welsh [4]
model:isakbos/Q8BERT_COLA_L_512 [32]
model:ishan/bert-base-uncased-mnli [32]
model:gsarti/it5-base-headline-generation [40]
model:gsarti/it5-base-ilgiornale-to-repubblica [40]
model:gsarti/it5-base-news-summarization [26, 40]
model:gsarti/it5-base-repubblica-to-ilgiornale [40]
model:gsarti/it5-large-headline-generation [40]
model:gsarti/it5-large-ilgiornale-to-repubblica [40]
model:gsarti/it5-large-news-summarization [26, 40]
model:gsarti/it5-large-repubblica-to-ilgiornale [40]
model:gsarti/it5-small-headline-generation [40]
model:gsarti/it5-small-ilgiornale-to-repubblica [40]
model:gsarti/it5-small-news-summarization [26, 40]
model:gsarti/it5-small-repubblica-to-ilgiornale [40]
model:gsarti/mt5-base-headline-generation [40]
model:gsarti/mt5-base-ilgiornale-to-repubblica [40]
model:gsarti/mt5-base-news-summarization [26, 40]
model:gsarti/mt5-base-repubblica-to-ilgiornale [40]
model:gsarti/mt5-small-headline-generation [40]
model:gsarti/mt5-small-ilgiornale-to-repubblica [40]
model:gsarti/mt5-small-news-summarization [26, 40]
model:gsarti/mt5-small-repubblica-to-ilgiornale [40]
model:ivanlau/wav2vec2-large-xls-r-300m-cantonese [4]
model:ixa-ehu/berteus-base-cased [7]
model:jb2k/bert-base-multilingual-cased-language-detection [32]
model:jcblaise/roberta-tagalog-base [8]
model:jcmc/wav2vec-1b-cv8-ir [4]
model:jcmc/wav2vec-cv7-1b-ir [4]
model:jean-paul/KinyaBERT-large [8]
model:jean-paul/KinyaBERT-small [8]
model:jean-paul/kinyaRoberta-large [8]
model:jean-paul/kinyaRoberta-small [8]
model:jhgan/ko-sbert-multitask [25, 7]
model:jimregan/bert-base-irish-cased-v1-finetuned-ner [42]
model:jonatasgrosman/wav2vec2-large-xlsr-53-german [4]
model:jonatasgrosman/wav2vec2-large-xlsr-53-italian [4]
model:jonatasgrosman/wav2vec2-large-xlsr-53-japanese [4]
model:jonatasgrosman/wav2vec2-large-xlsr-53-portuguese [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-dutch [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-english [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-french [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-german [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-italian [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-polish [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-portuguese [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-russian [4]
model:jonatasgrosman/wav2vec2-xls-r-1b-spanish [4]
model:joaoalvarenga/wav2vec2-large-xlsr-italian [4]
model:josu/roberta-pt-br [8]
model:jsnfly/wav2vec2-large-xlsr-53-german-gpt2 [4]
model:jsnfly/wav2vec2-xls-r-1b-de-cv8 [4]
model:jsylee/scibert_scivocab_uncased-finetuned-ner [42]
model:julien-c/reactiongif-roberta [32]
model:juliensimon/autonlp-imdb-demo-hf-16622767 [32]
model:juliensimon/autonlp-song-lyrics-18753417 [32]
model:juliensimon/autonlp-song-lyrics-18753423 [32]
model:kapilkd13/xls-r-300m-hi-prod [4]
model:kapilkd13/xls-r-hi-test [4]
model:kaporter/bert-base-uncased-finetuned-squad [22]
model:keepitreal/vietnamese-sbert [25, 7]
model:keras-io/sentiment-analysis [32]
model:keras-io/transformers-qa [22]
model:kingabzpro/wav2vec2-60-Urdu-V8 [4]
model:kingabzpro/wav2vec2-60-urdu [4]
model:kingabzpro/wav2vec2-large-xls-r-1b-Indonesian [4]
model:kingabzpro/wav2vec2-large-xls-r-1b-Irish [4]
model:kingabzpro/wav2vec2-large-xls-r-1b-Swedish [4]
model:kingabzpro/wav2vec2-large-xls-r-300m-Indonesian [4]
model:kingabzpro/wav2vec2-large-xls-r-300m-Swedish [4]
model:kingabzpro/wav2vec2-large-xls-r-300m-Tatar [4]
model:kingabzpro/wav2vec2-large-xls-r-300m-Urdu [4]
model:kingabzpro/wav2vec2-large-xlsr-300-arabic [4]
model:kingabzpro/wav2vec2-large-xlsr-53-punjabi [4]
model:kingabzpro/wav2vec2-urdu [4]
model:kinit/slovakbert-sentiment-twitter [32]
model:korca/bae-roberta-base-boolq [32]
model:kssteven/ibert-roberta-base [8]
model:kykim/albert-kor-base [8]
model:kykim/funnel-kor-base [7]
model:leetdavid/celera_relevance [32]
model:leetdavid/importance_model [32]
model:leetdavid/market_positivity [32]
model:leetdavid/market_positivity_model [32]
model:leetdavid/relevance-model [32]
model:lewiswatson/distilbert-base-uncased-finetuned-emotion [32]
model:lgris/bp400-xlsr [4]
model:lgris/sew-tiny-portuguese-cv7 [4]