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+ ---
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+ language: en
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+ ---
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+
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+ # RoCBert
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+
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+ ## Introduction
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+
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+ RoCBert is a pretrained Chinese language model that is robust under various forms of adversarial attacks proposed by WeChatAI in 2022,
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+
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+ More detail: https://aclanthology.org/2022.acl-long.65.pdf
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+
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+ ## How to use
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+ ```Python
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+ from transformers import AutoTokenizer, AutoModel
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+ tokenizer = AutoTokenizer.from_pretrained("weiweishi/roc-bert")
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+ model = AutoModel.from_pretrained("weiweishi/roc-bert")
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+ ```
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{su2022rocbert,
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+ title={RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining},
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+ author={Su, Hui and Shi, Weiwei and Shen, Xiaoyu and Xiao, Zhou and Ji, Tuo and Fang, Jiarui and Zhou, Jie},
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+ booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
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+ pages={921--931},
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+ year={2022}
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+ }
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+ ```