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ft-ESM
brineylab/ft-ESM
ft-ESM is a fill-mask model from brineylab. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
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…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- esm
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Dec 10, 2025
- SHA
- 6594c8b6
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Model card
From the Hugging Face model README
ft-ESM
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.
Use
Load the model and tokenizer as follows:
from transformers import EsmTokenizer, EsmForMaskedLM
model = EsmForMaskedLM.from_pretrained("brineylab/ft-ESM")
tokenizer = EsmTokenizer.from_pretrained("brineylab/ft-ESM")
The tokenizer expects sequences formatted as: HEAVY_CHAIN<cls><cls>LIGHT_CHAIN.
- Task
- Fill-Mask
- Library
- transformers
- Type
- esm
- License
- mit
- Created
- Dec 9, 2025
- Updated
- Dec 10, 2025