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  ---
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  language: en
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  tags: fill-mask
 
 
 
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  ---
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  # 85% Sparse BERT-Large (uncased) Prune OFA
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  This model is a result from our paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754) presented in ENLSP NeurIPS Workshop 2021.
 
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  language: en
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+ datasets:
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+ - wikipedia
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+ - bookcorpus
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  ---
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  # 85% Sparse BERT-Large (uncased) Prune OFA
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  This model is a result from our paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754) presented in ENLSP NeurIPS Workshop 2021.