Update README.md

README.md

@@ -1,3 +1,30 @@
 ---
+language: 
+  - zh
 license: apache-2.0
 ---
+
+# Mengzi-T5-mt model (Chinese)
+Continue pretrain model on mengzi-t5-base with 27 datasets and 301 prompts
+
+[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-mt")
+model = T5ForConditionalGeneration.from_pretrained("Langboat/mengzi-t5-base-mt")
+```
+
+## 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}
+}
+```