BioT5
Collection
BioT5 and BioT5+ model collections
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15 items
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Updated
Example Usage
from transformers import AutoTokenizer, T5ForConditionalGeneration
tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-plus-large")
model = T5ForConditionalGeneration.from_pretrained('QizhiPei/biot5-plus-large')
References
For more information, please refer to our paper and GitHub repository.
Paper: BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
GitHub: BioT5+
Authors: Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, and Rui Yan
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