Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning

We introduce Adapters, an open-source library that unifies parameter-efficient and modular transfer learning in large language models. By integrating 10 diverse adapter methods into a unified interface, Adapters offers ease of use and flexible configuration. Our library allows researchers and practi...

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Bibliographische Detailangaben

Hauptverfasser:	Poth, Clifton, Sterz, Hannah, Paul, Indraneil, Purkayastha, Sukannya, Engländer, Leon, Imhof, Timo, Vulić, Ivan, Ruder, Sebastian, Gurevych, Iryna, Pfeiffer, Jonas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Learning
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