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BALM-shuffled
brineylab/BALM-shuffled
BALM-shuffled 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.
BALM-shuffled is an antibody language model that uses a RoBERTa architecture and was pre-trained on randomly shuffled paired antibody sequences from Jaffe et al. This was a control model used to evaluate the benefits…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Dec 10, 2025
- SHA
- 0cbbdb15
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Model card
From the Hugging Face model README
BALM-shuffled
BALM-shuffled is an antibody language model that uses a RoBERTa architecture and was pre-trained on randomly shuffled paired antibody sequences from Jaffe et al. This was a control model used to evaluate the benefits of natively paired sequences in our paper published in Patterns. Therefore, this model should not be used for real use cases; use BALM-paired instead.
Use
Load the model and tokenizer as follows:
from transformers import RobertaTokenizer, RobertaForMaskedLM
model = RobertaForMaskedLM.from_pretrained("brineylab/BALM-shuffled")
tokenizer = RobertaTokenizer.from_pretrained("brineylab/BALM-shuffled")
The tokenizer expects sequences formatted as: HEAVY_CHAIN</s>LIGHT_CHAIN.
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Dec 9, 2025
- Updated
- Dec 10, 2025