readme: ---
  language: 
  - zh
  license: "apache-2.0"
  ---
  
  ## Chinese Pre-Trained XLNet
  This project provides a XLNet pre-training model for Chinese, which aims to enrich Chinese natural language processing resources and provide a variety of Chinese pre-training model selection.
  We welcome all experts and scholars to download and use this model.
  
  This project is based on CMU/Google official XLNet: https://github.com/zihangdai/xlnet
  
  You may also interested in,
  - Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm
  - Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA
  - Chinese XLNet: https://github.com/ymcui/Chinese-XLNet
  - Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer
  
  More resources by HFL: https://github.com/ymcui/HFL-Anthology
  
  
  ## Citation
  If you find our resource or paper is useful, please consider including the following citation in your paper.
  - https://arxiv.org/abs/2004.13922
  ```
  @inproceedings{cui-etal-2020-revisiting,
      title = "Revisiting Pre-Trained Models for {C}hinese Natural Language Processing",
      author = "Cui, Yiming  and
        Che, Wanxiang  and
        Liu, Ting  and
        Qin, Bing  and
        Wang, Shijin  and
        Hu, Guoping",
      booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings",
      month = nov,
      year = "2020",
      address = "Online",
      publisher = "Association for Computational Linguistics",
      url = "https://www.aclweb.org/anthology/2020.findings-emnlp.58",
      pages = "657--668",
  }
  ```