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model:DeepPavlov/rubert-base-cased [7]
model:DeepPavlov/xlm-roberta-large-en-ru-mnli [32]
model:DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4 [32]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-ab-CV7 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-as-g1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-as-v9 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-bas-v1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-bg-d2 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-bg-v1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-br-d10 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-br-d2 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-gn-k1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hi-cv8-b2 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hi-cv8 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hi-d3 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hi-wx1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hsb-v1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hsb-v2 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-hsb-v3 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-kk-with-LM [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-maltese [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-mr-v2 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-myv-v1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-or-d5 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-pa-IN-dx1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-sat-a3 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-sat-final [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v2 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-sr-v4 [4]
model:DrishtiSharma/wav2vec2-large-xls-r-300m-vot-final-a2 [4]
model:DrishtiSharma/wav2vec2-xls-r-300m-kk-n2 [4]
model:DrishtiSharma/wav2vec2-xls-r-300m-mt-o1 [4]
model:DrishtiSharma/wav2vec2-xls-r-300m-pa-IN-r5 [4]
model:DrishtiSharma/wav2vec2-xls-r-300m-rm-sursilv-d11 [4]
model:DrishtiSharma/wav2vec2-xls-r-300m-rm-vallader-d1 [4]
model:DrishtiSharma/wav2vec2-xls-r-myv-a1 [4]
model:DrishtiSharma/wav2vec2-xls-r-sl-a1 [4]
model:DrishtiSharma/wav2vec2-xls-r-sl-a2 [4]
model:EMBEDDIA/crosloengual-bert [8]
model:EMBEDDIA/est-roberta [8]
model:EMBEDDIA/sloberta [8]
model:EMBO/bio-lm [8]
model:EMBO/sd-ner [42]
model:EMBO/sd-panelization [42]
model:Finnish-NLP/convbert-base-finnish [7]
model:Finnish-NLP/convbert-base-generator-finnish [8]
model:Finnish-NLP/electra-base-generator-finnish [8]
model:Finnish-NLP/gpt2-finnish [33]
model:Finnish-NLP/gpt2-large-finnish [33]
model:Finnish-NLP/gpt2-medium-finnish [33]
model:Finnish-NLP/roberta-large-finnish-v2 [8]
model:Finnish-NLP/roberta-large-finnish [8]
model:Finnish-NLP/roberta-large-wechsel-finnish [8]
model:FremyCompany/xls-r-2b-nl-v2_lm-5gram-os [4]
model:FremyCompany/xls-r-2b-nl-v2_lm-5gram-os2_hunspell [4]
model:FremyCompany/xls-r-nl-v1-cv8-lm [4]
model:GKLMIP/bert-khmer-base-uncased-tokenized [8]
model:Geotrend/bert-base-sw-cased [8]
model:Geotrend/bert-base-th-cased [8]
model:Geotrend/distilbert-base-en-nl-cased [8]
model:Geotrend/distilbert-base-nl-cased [8]
model:Geotrend/distilbert-base-pl-cased [8]
model:Geotrend/distilbert-base-pt-cased [8]
model:Geotrend/distilbert-base-ru-cased [8]
model:Geotrend/distilbert-base-uk-cased [8]
model:GroNLP/gpt2-small-italian [33]
model:GroNLP/hateBERT [8]
model:Guscode/DKbert-hatespeech-detection [32]
model:HamidRezaAttar/gpt2-product-description-generator [33]
model:HarrisDePerceptron/xls-r-1b-ur [4]
model:HarrisDePerceptron/xls-r-300m-ur [4]
model:HarrisDePerceptron/xlsr-large-53-ur [4]
model:Harveenchadha/hindi_base_wav2vec2 [4]
model:Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200 [4]
model:Harveenchadha/vakyansh-wav2vec2-gujarati-gnm-100 [4]
model:Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 [4]
model:Harveenchadha/vakyansh-wav2vec2-kannada-knm-560 [4]
model:Harveenchadha/vakyansh-wav2vec2-malayalam-mlm-8 [4]
model:Harveenchadha/vakyansh-wav2vec2-nepali-nem-130 [4]
model:Harveenchadha/vakyansh-wav2vec2-odia-orm-100 [4]
model:Harveenchadha/vakyansh-wav2vec2-punjabi-pam-10 [4]
model:Harveenchadha/vakyansh-wav2vec2-tamil-tam-250 [4]
model:Harveenchadha/vakyansh-wav2vec2-urdu-urm-60 [4]
model:Harveenchadha/wav2vec2-pretrained-clsril-23-10k [7]
model:Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two [32]
model:Helsinki-NLP/opus-mt-ROMANCE-en [43, 40]
model:Helsinki-NLP/opus-mt-af-en [43, 40]
model:Helsinki-NLP/opus-mt-ar-es [43, 40]
model:Helsinki-NLP/opus-mt-ar-he [43, 40]
model:Helsinki-NLP/opus-mt-bat-en [43, 40]
model:Helsinki-NLP/opus-mt-bcl-en [43, 40]
model:Helsinki-NLP/opus-mt-ca-en [43, 40]
model:Helsinki-NLP/opus-mt-cs-en [43, 40]
model:Helsinki-NLP/opus-mt-da-de [43, 40]
model:Helsinki-NLP/opus-mt-da-en [43, 40]
model:Helsinki-NLP/opus-mt-de-en [43, 40]
model:Helsinki-NLP/opus-mt-de-es [43, 40]
model:Helsinki-NLP/opus-mt-de-fr [43, 40]