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language: en
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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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tags: fill-mask
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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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