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  # Erlangshen-RoBERTa-110M-UniMC-Chinese
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  - Paper: [Zero-Shot Learners for Nature Language Understanding via a Unified Multiple Choice Perspective](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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- - Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM/blob/main/fengshen/examples/unimc/)
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  - Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
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  ## 简介 Brief Introduction
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- 将自然语言理解任务转化为multiple choice任务,并且使用42个NLU 任务进行预训练
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- Convert natural language understanding tasks into multiple choice tasks, and use 42 NLU task for pre-training
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  ## 模型分类 Model Taxonomy
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  # Erlangshen-RoBERTa-110M-UniMC-Chinese
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  - Paper: [Zero-Shot Learners for Nature Language Understanding via a Unified Multiple Choice Perspective](https://github.com/IDEA-CCNL/Fengshenbang-LM)
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+ - Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM/tree/main/fengshen/examples/unimc/)
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  - Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
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  ## 简介 Brief Introduction
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+ 将自然语言理解任务转化为multiple choice任务,并且使用 48 NLU 任务进行预训练
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+ Convert natural language understanding tasks into multiple choice tasks, and use 48 NLU task for pre-training
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  ## 模型分类 Model Taxonomy
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