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HeavyBERTa_naive_mem_cls
leaBroe/HeavyBERTa_naive_mem_cls
HeavyBERTa_naive_mem_cls is a machine learning model from leaBroe. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository provides a transformer-based classifier for distinguishing between naive and memory B-cell receptor heavy chain sequences. It uses adapters integrated into pre-trained language models for efficient fin…
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Updated Jul 31, 2025
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- Access
- Public
- Created
- Jul 31, 2025
- Updated
- Jul 31, 2025
- SHA
- 49b91c41
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Model card
From the Hugging Face model README
Naive/Memory Heavy Chain Classifier
This repository provides a transformer-based classifier for distinguishing between naive and memory B-cell receptor heavy chain sequences. It uses adapters integrated into pre-trained language models for efficient fine-tuning. The model is fine-tuned from HeavyBERTa, a protein language model based on the RoBERTa architecture, pre-trained on a large corpus of unpaired heavy chain sequences from the OAS database. An equivalent classification model for light chains can be found here.
For more information of how to use this model, please visit our Github repository.
- Created
- Jul 31, 2025
- Updated
- Jul 31, 2025