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+ ---
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+ license: mit
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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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+
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+ tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-plus-base-mol-instructions-molecule")
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+ model = T5ForConditionalGeneration.from_pretrained('QizhiPei/biot5-plus-base-mol-instructions-molecule')
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+ ```
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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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+
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+ Paper: [BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning](https://arxiv.org/abs/2402.17810)
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+
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+ GitHub: [BioT5+](https://github.com/QizhiPei/BioT5)
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+ Authors: *Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, and Rui Yan*