leaBroe/HeavyBERTa_naive_mem_cls

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.