AI & ML interests

Parameter-Efficient Fine-Tuning

Adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

💻 Website   •   📚 Documentation   •   📜 Paper   •   🧪 Notebook Tutorials

Adapters is an add-on library to HuggingFace's Transformers, integrating various adapter methods into state-of-the-art pre-trained language models with minimal coding overhead for training and inference.

pip install adapters

🤗 Hub integration: https://docs.adapterhub.ml/huggingface_hub.html

datasets

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