Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Published in In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2023
We introduce Adapters, an open-source library that unifies parameter-efficient and modular transfer learning in large language models.