Metadata-Version: 2.1
Name: antiberty
Version: 0.0.5
Summary: UNKNOWN
License: UNKNOWN
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: einops (>=0.3.0)
Requires-Dist: numpy (>=1.21.2)
Requires-Dist: tokenizers (>=0.10.2)
Requires-Dist: torch (>=1.7.1)
Requires-Dist: transformers (>=4.5.1)

# AntiBERTy

Antibody-specific transformer language model pre-trained on 558M natural antibody sequences.

## Usage

```
from antiberty import AntiBERTy, get_weights

antiberty = AntiBERTy.from_pretrained(get_weights()) 
```

## Citing this work

```bibtex
@article{ruffolo2021deciphering,
    title = {Deciphering antibody affinity maturation with language models and weakly supervised learning},
    author = {Ruffolo, Jeffrey A and Gray, Jeffrey J and Sulam, Jeremias},
    journal = {arXiv preprint arXiv:2112.07782},
    year= {2021}
}
```

