AdapterHub - 715 adapters for 78 text tasks and 97 languages

"Adapter" refers to a set of newly introduced weights, typically within the layers of a transformer model. Adapters provide an alternative to fully fine-tuning the model for each downstream task, while maintaining performance. They also have the added benefit of requiring as little as 1MB of storage space per task! Learn More!

AdapterHub - Home of Adapters, the library for parameter-efficient and module fine-tuning New Release: Introducing Adapters , the new unified adapter package Home of Adapters , the library for parameter-efficient and modular fine-tuning central repository for pre-trained adapter modules --> 406 adapters 58 text tasks 97 languages --> pip install adapters Blog Explore Docs GitHub Paper Adapters are Lightweight 🤖 "Adapter" refers to a set of newly introduced weights, typically within the layers of a transformer model. Adapters provide an alternative to fully fine-tuning the model for each downs

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