Create README.md

README.md

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+---
+license: mit
+datasets:
+- QizhiPei/BioT5_finetune_dataset
+language:
+- en
+---
+## Example Usage
+```python
+from transformers import AutoTokenizer, T5ForConditionalGeneration
+
+tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-base-peer-solubility", model_max_length=512)
+model = T5ForConditionalGeneration.from_pretrained('QizhiPei/biot5-base-peer-solubility')
+```
+
+## References
+For more information, please refer to our paper and GitHub repository.
+
+Paper: [BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations](https://arxiv.org/abs/2310.07276)
+
+GitHub: [BioT5](https://github.com/QizhiPei/BioT5)
+
+Authors: *Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, and Rui Yan*