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