
Paper: [BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model](https://arxiv.org/pdf/2204.03905.pdf)

```
@misc{BioBART,
  title={BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model},
  author={Hongyi Yuan and Zheng Yuan and Ruyi Gan and Jiaxing Zhang and Yutao Xie and Sheng Yu},
  year={2022},
  eprint={2204.03905},
  archivePrefix={arXiv}
}
```
{"language": ["en"], "license": "apache-2.0", "tags": ["bart", "biobart", "biomedical"], "inference": true, "widget": [{"text": "Influenza is a <mask> disease."}, {"type": "text-generation"}]}
transformers pytorch safetensors bart text2text-generation biobart biomedical en arxiv:2204.03905 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bart #text2text-generation #biobart #biomedical #en #arxiv-2204.03905 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


Paper: BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model


TAGS
#transformers #pytorch #safetensors #bart #text2text-generation #biobart #biomedical #en #arxiv-2204.03905 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #safetensors #bart #text2text-generation #biobart #biomedical #en #arxiv-2204.03905 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
