readme: ---
  language: 
    - zh
  license: apache-2.0
  ---
  
  # Mengzi-T5 model (Chinese)
  Pretrained model on 300G Chinese corpus. 
  
  [Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese](https://arxiv.org/abs/2110.06696)
  
  ## Usage
  ```python
  from transformers import T5Tokenizer, T5ForConditionalGeneration
  
  tokenizer = T5Tokenizer.from_pretrained("Langboat/mengzi-t5-base")
  model = T5ForConditionalGeneration.from_pretrained("Langboat/mengzi-t5-base")
  ```
  
  ## Citation
  If you find the technical report or resource is useful, please cite the following technical report in your paper.
  ```
  @misc{zhang2021mengzi,
        title={Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese}, 
        author={Zhuosheng Zhang and Hanqing Zhang and Keming Chen and Yuhang Guo and Jingyun Hua and Yulong Wang and Ming Zhou},
        year={2021},
        eprint={2110.06696},
        archivePrefix={arXiv},
        primaryClass={cs.CL}
  }
  ```