AdapterHub

AdapterHub provides a framework for implementing adapters, which are lightweight modules that allow for efficient fine-tuning of transformer models for various tasks. This library enables users to add new weights to existing models without the need for full retraining, making it suitable for those looking to optimize performance while minimizing storage requirements. Built on the HuggingFace transformers framework, AdapterHub simplifies the process of training and using adapters with minimal code.