|
--- |
|
license: mit |
|
language: |
|
- en |
|
--- |
|
## Example Usage |
|
```python |
|
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](https://arxiv.org/abs/2402.17810) |
|
|
|
GitHub: [BioT5+](https://github.com/QizhiPei/BioT5) |
|
|
|
Authors: *Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, and Rui Yan* |
