BioT5
Collection
BioT5 and BioT5+ model collections
•
15 items
•
Updated
Example Usage
from transformers import AutoTokenizer, T5ForConditionalGeneration
tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-plus-base-mol-instructions-molecule")
model = T5ForConditionalGeneration.from_pretrained('QizhiPei/biot5-plus-base-mol-instructions-molecule')
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
- Downloads last month
- 119
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.