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longformer-large-4096-finetuned-triviaqa

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Hi,

I added the language tag to 94 of your models for which it was missing.
94 models can take time to merge, you can do it automatically with the "huggingface_hub" library. You can see https://github.com/huggingface/huggingface_hub/issues/1044#issuecomment-1243313177 to see a code that you will have to loop on the 94 following models:

 ["allenai/longformer-large-4096-finetuned-triviaqa",
"allenai/scibert_scivocab_cased",
"allenai/longformer-large-4096",
"allenai/PRIMERA",
"allenai/biomed_roberta_base",
"allenai/unifiedqa-t5-base",
"allenai/unifiedqa-t5-large",
"sentence-transformers/allenai-specter",
"allenai/unifiedqa-t5-small",
"allenai/ivila-row-layoutlm-finetuned-s2vl-v2",
"allenai/t5-small-squad2-question-generation",
"allenai/PRIMERA-multinews",
"allenai/reviews_roberta_base",
"allenai/unifiedqa-v2-t5-large-1251000",
"allenai/cs_roberta_base",
"allenai/unifiedqa-t5-3b",
"allenai/unifiedqa-v2-t5-3b-1251000",
"allenai/hvila-block-layoutlm-finetuned-docbank",
"allenai/aspire-contextualsentence-singlem-compsci",
"allenai/hvila-row-layoutlm-finetuned-docbank",
"allenai/t5-small-next-word-generator-qoogle",
"allenai/ivila-block-layoutlm-finetuned-docbank",
"allenai/unifiedqa-v2-t5-3b-1363200",
"allenai/unifiedqa-v2-t5-base-1251000",
"allenai/unifiedqa-t5-11b",
"allenai/unifiedqa-v2-t5-large-1363200",
"allenai/unifiedqa-v2-t5-base-1363200",
"allenai/led-base-16384-ms2",
"allenai/aspire-biencoder-biomed-spec",
"allenai/PRIMERA-wcep",
"allenai/aspire-biencoder-compsci-spec",
"allenai/PRIMERA-arxiv",
"allenai/unifiedqa-v2-t5-small-1251000",
"allenai/bart-large-multi_lexsum-long-multitask",
"allenai/PRIMERA-multixscience",
"allenai/unifiedqa-v2-t5-11b-1363200",
"allenai/aspire-contextualsentence-multim-compsci",
"allenai/bart-large-multi_lexsum-long-short",
"allenai/pegasus-multi_lexsum-short-tiny",
"allenai/led-base-16384-cochrane",
"allenai/news_roberta_base",
"allenai/led-base-16384-multi_lexsum-source-tiny",
"allenai/unifiedqa-v2-t5-11b-1251000",
"allenai/dsp_roberta_base_dapt_biomed_tapt_chemprot_4169",
"allenai/bart-large-multi_lexsum-source-multitask",
"allenai/pegasus-multi_lexsum-long-short",
"allenai/aspire-sentence-embedder",
"allenai/bart-large-multi_lexsum-short-tiny",
"allenai/dsp_roberta_base_dapt_cs_tapt_citation_intent_1688",
"allenai/longformer-base-4096-extra.pos.embd.only",
"allenai/primera-multi_lexsum-source-long",
"allenai/pegasus-multi_lexsum-long-tiny",
"allenai/bidaf-elmo",
"allenai/aspire-contextualsentence-singlem-biomed",
"allenai/unifiedqa-v2-t5-small-1363200",
"allenai/longformer-large-4096-extra.pos.embd.only",
"allenai/led-base-16384-multi_lexsum-source-long",
"allenai/dsp_roberta_base_tapt_hyperpartisan_news_5015",
"allenai/led-base-16384-multi_lexsum-source-short",
"allenai/dsp_roberta_base_dapt_biomed_tapt_rct_500",
"allenai/dsp_roberta_base_dapt_news_tapt_hyperpartisan_news_515",
"allenai/t5-small-squad2-next-word-generator-squad",
"allenai/bart-large-multi_lexsum-long-tiny",
"allenai/dsp_roberta_base_tapt_ag_115K",
"allenai/dsp_roberta_base_dapt_reviews_tapt_amazon_helpfulness_115K",
"allenai/dsp_roberta_base_tapt_rct_180K",
"allenai/aspire-contextualsentence-multim-biomed",
"allenai/bidaf",
"allenai/dsp_roberta_base_dapt_news_tapt_ag_115K",
"allenai/dsp_roberta_base_tapt_citation_intent_1688",
"allenai/dsp_roberta_base_tapt_rct_500",
"allenai/dsp_roberta_base_dapt_news_tapt_hyperpartisan_news_5015",
"allenai/dsp_roberta_base_tapt_amazon_helpfulness_115K",
"allenai/dsp_roberta_base_tapt_imdb_70000",
"allenai/dsp_roberta_base_tapt_sciie_3219",
"allenai/hvila-block-layoutlm-finetuned-grotoap2",
"allenai/dsp_roberta_base_dapt_cs_tapt_sciie_3219",
"allenai/dsp_roberta_base_dapt_reviews_tapt_imdb_70000",
"allenai/dsp_roberta_base_tapt_chemprot_4169",
"allenai/dsp_roberta_base_tapt_hyperpartisan_news_515",
"allenai/ivila-block-layoutlm-finetuned-grotoap2",
"allenai/transformer_qa",
"allenai/elmo_decomposable-attention_snli",
"allenai/dsp_roberta_base_dapt_biomed_tapt_rct_180K",
"allenai/dsp_roberta_base_dapt_reviews_tapt_imdb_20000",
"allenai/dsp_roberta_base_tapt_imdb_20000",
"allenai/hvila-row-layoutlm-finetuned-grotoap2",
"allenai/naqanet",
"allenai/t5-small-squad11",
"allenai/aspire-biencoder-biomed-scib",
"allenai/ivila-block-layoutlm-finetuned-s2vl-v2",
"allenai/primera-multi_lexsum-source-short",
"allenai/primera-multi_lexsum-source-tiny",
"allenai/drug-combo-classifier-pubmedbert-dapt",]