README.md

metadata

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

Usage

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}
}