Datasets:
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HuggingBench-Classification

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model:Helsinki-NLP/opus-mt-de-it [43, 40]
model:Helsinki-NLP/opus-mt-en-ROMANCE [43, 40]
model:Helsinki-NLP/opus-mt-en-af [43, 40]
model:Helsinki-NLP/opus-mt-en-bcl [43, 40]
model:Helsinki-NLP/opus-mt-en-cs [43, 40]
model:Helsinki-NLP/opus-mt-en-da [43, 40]
model:Helsinki-NLP/opus-mt-en-el [43, 40]
model:Helsinki-NLP/opus-mt-en-ha [43, 40]
model:Helsinki-NLP/opus-mt-en-hi [43, 40]
model:Helsinki-NLP/opus-mt-en-hu [43, 40]
model:Helsinki-NLP/opus-mt-en-hy [43, 40]
model:Helsinki-NLP/opus-mt-en-id [43, 40]
model:Helsinki-NLP/opus-mt-en-it [43, 40]
model:Helsinki-NLP/opus-mt-en-lg [43, 40]
model:Helsinki-NLP/opus-mt-en-ml [43, 40]
model:Helsinki-NLP/opus-mt-en-mul [43, 40]
model:Helsinki-NLP/opus-mt-en-ro [43, 40]
model:Helsinki-NLP/opus-mt-en-roa [43, 40]
model:Helsinki-NLP/opus-mt-en-rw [43, 40]
model:Helsinki-NLP/opus-mt-en-sv [43, 40]
model:Helsinki-NLP/opus-mt-en-uk [43, 40]
model:Helsinki-NLP/opus-mt-en-vi [43, 40]
model:Helsinki-NLP/opus-mt-en-xh [43, 40]
model:Helsinki-NLP/opus-mt-es-ar [43, 40]
model:Helsinki-NLP/opus-mt-es-de [43, 40]
model:Helsinki-NLP/opus-mt-es-es [43, 40]
model:Helsinki-NLP/opus-mt-es-fr [43, 40]
model:Helsinki-NLP/opus-mt-es-it [43, 40]
model:Helsinki-NLP/opus-mt-es-ru [43, 40]
model:Helsinki-NLP/opus-mt-fi-de [43, 40]
model:Helsinki-NLP/opus-mt-fi-en [43, 40]
model:Helsinki-NLP/opus-mt-fi-et [43, 40]
model:Helsinki-NLP/opus-mt-fr-de [43, 40]
model:Helsinki-NLP/opus-mt-fr-es [43, 40]
model:Helsinki-NLP/opus-mt-fr-ro [43, 40]
model:Helsinki-NLP/opus-mt-fr-ru [43, 40]
model:Helsinki-NLP/opus-mt-gem-gem [43, 40]
model:Helsinki-NLP/opus-mt-gmw-gmw [43, 40]
model:Helsinki-NLP/opus-mt-ha-en [43, 40]
model:Helsinki-NLP/opus-mt-hi-en [43, 40]
model:Helsinki-NLP/opus-mt-hu-en [43, 40]
model:Helsinki-NLP/opus-mt-id-en [43, 40]
model:Helsinki-NLP/opus-mt-it-de [43, 40]
model:Helsinki-NLP/opus-mt-it-en [43, 40]
model:Helsinki-NLP/opus-mt-it-es [43, 40]
model:Helsinki-NLP/opus-mt-it-fr [43, 40]
model:Helsinki-NLP/opus-mt-ja-pl [43, 40]
model:Helsinki-NLP/opus-mt-jap-en [43, 40]
model:Helsinki-NLP/opus-mt-lg-en [43, 40]
model:Helsinki-NLP/opus-mt-mr-en [43, 40]
model:Helsinki-NLP/opus-mt-mul-en [43, 40]
model:Helsinki-NLP/opus-mt-nl-en [43, 40]
model:Helsinki-NLP/opus-mt-nl-fr [43, 40]
model:Helsinki-NLP/opus-mt-no-de [43, 40]
model:Helsinki-NLP/opus-mt-pt-ca [43, 40]
model:Helsinki-NLP/opus-mt-ro-fr [43, 40]
model:Helsinki-NLP/opus-mt-ru-es [43, 40]
model:Helsinki-NLP/opus-mt-ru-fr [43, 40]
model:Helsinki-NLP/opus-mt-ru-uk [43, 40]
model:Helsinki-NLP/opus-mt-rw-en [43, 40]
model:Helsinki-NLP/opus-mt-sla-en [43, 40]
model:Helsinki-NLP/opus-mt-swc-en [43, 40]
model:Helsinki-NLP/opus-mt-tl-en [43, 40]
model:Helsinki-NLP/opus-mt-tr-en [43, 40]
model:Helsinki-NLP/opus-mt-uk-en [43, 40]
model:Helsinki-NLP/opus-mt-uk-ru [43, 40]
model:Helsinki-NLP/opus-mt-vi-en [43, 40]
model:Helsinki-NLP/opus-mt-xh-en [43, 40]
model:Helsinki-NLP/opus-mt-yo-en [43, 40]
model:Helsinki-NLP/opus-tatoeba-en-ja [43, 40]
model:Helsinki-NLP/opus-tatoeba-en-tr [43, 40]
model:Helsinki-NLP/opus-tatoeba-fr-it [43, 40]
model:HooshvareLab/bert-base-parsbert-ner-uncased [42]
model:HooshvareLab/bert-base-parsbert-uncased [8]
model:HooshvareLab/bert-fa-base-uncased-clf-digimag [32]
model:HooshvareLab/bert-fa-base-uncased-clf-persiannews [32]
model:HooshvareLab/bert-fa-base-uncased-sentiment-snappfood [32]
model:HooshvareLab/bert-fa-base-uncased [8]
model:HooshvareLab/distilbert-fa-zwnj-base-ner [42]
model:HooshvareLab/roberta-fa-zwnj-base [8]
model:IMSyPP/hate_speech_it [32]
model:IMSyPP/hate_speech_nl [32]
model:IlyaGusev/rubert_ext_sum_gazeta [42, 26]
model:IlyaGusev/rugpt3medium_sum_gazeta [26, 33]
model:IlyaGusev/xlm_roberta_large_headline_cause_full [32]
model:IlyaGusev/xlm_roberta_large_headline_cause_simple [32]
model:Iskaj/xlsr300m_cv_7.0_nl_lm [4]
model:Iskaj/xlsr300m_cv_8.0_nl [4]
model:Iskaj/xlsr_300m_CV_8.0_50_EP_new_params_nl [4]
model:Jean-Baptiste/camembert-ner-with-dates [42]
model:Jean-Baptiste/camembert-ner [42]
model:Jean-Baptiste/roberta-large-ner-english [42]
model:Jeska/autonlp-vaccinfaq-22144706 [32]
model:JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish [32]
model:JonatanGk/roberta-base-ca-finetuned-hate-speech-offensive-catalan [32]
model:Jorgeutd/albert-base-v2-finetuned-ner [42]
model:Jorgeutd/bert-base-uncased-finetuned-surveyclassification [32]
model:Jorgeutd/bert-large-uncased-finetuned-ner [42]
model:KBLab/bert-base-swedish-cased-ner [42]
model:KBLab/bert-base-swedish-cased [8]