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BALM-unpaired
brineylab/BALM-unpaired
BALM-unpaired 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.
BALM-unpaired is an antibody language model that uses a RoBERTa architecture and was pre-trained on unpaired antibody sequences from Jaffe et al. Datasets used for pre-training are available on Zenodo and code is avai…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Dec 10, 2025
- SHA
- 8fd18a5b
Try a prompt
Model card
From the Hugging Face model README
BALM-unpaired
BALM-unpaired is an antibody language model that uses a RoBERTa architecture and was pre-trained on unpaired 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 RobertaTokenizer, RobertaForMaskedLM
model = RobertaForMaskedLM.from_pretrained("brineylab/BALM-unpaired")
tokenizer = RobertaTokenizer.from_pretrained("brineylab/BALM-unpaired")
The tokenizer expects unpaired sequences, either HEAVY_CHAIN or LIGHT_CHAIN.
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 9, 2025
- Updated
- Dec 10, 2025