ft-ESM is a finetuned version of the
650M-parameter ESM2 protein language model, finetuned on paired antibody sequences from
Jaffe et al.
Datasets used for pre-training are available on
Zenodo and code is available on
GitHub. More details can be found in
our paper published in Patterns.
1from transformers import EsmTokenizer, EsmForMaskedLM
2
3model = EsmForMaskedLM.from_pretrained("brineylab/ft-ESM")
4tokenizer = EsmTokenizer.from_pretrained("brineylab/ft-ESM")