File size: 762 Bytes
5e5afff 03a7833 5e5afff 03a7833 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
---
license: mit
datasets:
- QizhiPei/BioT5_finetune_dataset
language:
- en
tags:
- biology
- chemistry
---
## Example Usage
```python
from transformers import AutoTokenizer, T5ForConditionalGeneration
tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-base", model_max_length=512)
model = T5ForConditionalGeneration.from_pretrained('QizhiPei/biot5-base')
```
## References
For more information, please refer to our paper and GitHub repository.
Paper: [BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations](https://arxiv.org/abs/2310.07276)
GitHub: [BioT5](https://github.com/QizhiPei/BioT5)
Authors: *Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, and Rui Yan* |