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+ ---
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+ language:
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+ - zh
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+ license: "apache-2.0"
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+ ---
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+
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+ # This model is trained on 180G data, we recommend using this one than the original version.
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+
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+ ## Chinese ELECTRA
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+ Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compared to BERT and its variants.
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+ For further accelerating the research of the Chinese pre-trained model, the Joint Laboratory of HIT and iFLYTEK Research (HFL) has released the Chinese ELECTRA models based on the official code of ELECTRA.
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+ ELECTRA-small could reach similar or even higher scores on several NLP tasks with only 1/10 parameters compared to BERT and its variants.
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+
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+ This project is based on the official code of ELECTRA: [https://github.com/google-research/electra](https://github.com/google-research/electra)
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+
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+ You may also interested in,
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+ - Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm
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+ - Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA
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+ - Chinese XLNet: https://github.com/ymcui/Chinese-XLNet
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+ - Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer
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+
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+ More resources by HFL: https://github.com/ymcui/HFL-Anthology
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+
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+
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+ ## Citation
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+ If you find our resource or paper is useful, please consider including the following citation in your paper.
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+ - https://arxiv.org/abs/2004.13922
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+ ```
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+ @inproceedings{cui-etal-2020-revisiting,
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+ title = "Revisiting Pre-Trained Models for {C}hinese Natural Language Processing",
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+ author = "Cui, Yiming and
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+ Che, Wanxiang and
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+ Liu, Ting and
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+ Qin, Bing and
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+ Wang, Shijin and
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+ Hu, Guoping",
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+ booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings",
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+ month = nov,
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+ year = "2020",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://www.aclweb.org/anthology/2020.findings-emnlp.58",
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+ pages = "657--668",
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+ }
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+ ```