
# AntiBERTa Pretraining Data

## Description
Pretraining data for the [AntiBERTa](https://github.com/alchemab/antiberta) protein language model from [Alchemab Therapeutics](https://www.alchemab.com/).

## Citations

```
@article{Leem_Mitchell_Farmery_Barton_Galson_2022, title={Deciphering the language of antibodies using self-supervised learning}, volume={3}, ISSN={2666-3899}, url={https://www.cell.com/patterns/abstract/S2666-3899(22)00105-2}, DOI={10.1016/j.patter.2022.100513}, number={7}, journal={Patterns}, publisher={Elsevier}, author={Leem, Jinwoo and Mitchell, Laura S. and Farmery, James H. R. and Barton, Justin and Galson, Jacob D.}, year={2022}, month={Jul}, language={English} }
```
size_categories:100K<n<1M license:apache-2.0 region:us
{"license": "apache-2.0", "size_categories": ["100K<n<1M"]}
TAGS
#size_categories-100K<n<1M #license-apache-2.0 #region-us 


# AntiBERTa Pretraining Data

## Description
Pretraining data for the AntiBERTa protein language model from Alchemab Therapeutics.

s


# AntiBERTa Pretraining Data ## Description
Pretraining data for the AntiBERTa protein language model from Alchemab Therapeutics.

s
TAGS
#size_categories-100K<n<1M #license-apache-2.0 #region-us 
 # AntiBERTa Pretraining Data ## Description
Pretraining data for the AntiBERTa protein language model from Alchemab Therapeutics.

s
passage: TAGS
#size_categories-100K<n<1M #license-apache-2.0 #region-us 
# AntiBERTa Pretraining Data## Description
Pretraining data for the AntiBERTa protein language model from Alchemab Therapeutics.

s