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README.md

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+# Chinese BART-Large
+
+## Model description
+
+This is an implementation of Chinese BART-Large.
+
+## Usage
+
+```python
+>>> from transformers import BertTokenizer, BartForConditionalGeneration, Text2TextGenerationPipeline
+>>> tokenizer = BertTokenizer.from_pretrained("fnlp/bart-large-chinese")
+>>> model = BartForConditionalGeneration.from_pretrained("fnlp/bart-large-chinese")
+>>> text2text_generator = Text2TextGenerationPipeline(model, tokenizer)  
+>>> text2text_generator("北京是[MASK]的首都", max_length=50, do_sample=False)
+    [{'generated_text': '北 京 是 中 华 人 民 共 和 国 的 首 都'}]
+```
+
+**Note: Please use BertTokenizer for the model vocabulary. DO NOT use original BartTokenizer.**
+
+## Citation
+
+```bibtex
+@article{shao2021cpt,
+  title={CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation}, 
+  author={Yunfan Shao and Zhichao Geng and Yitao Liu and Junqi Dai and Fei Yang and Li Zhe and Hujun Bao and Xipeng Qiu},
+  journal={arXiv preprint arXiv:2109.05729},
+  year={2021}
+}
+```
+