Deprecated adapter-transformers package. Use adapters package instead.
Project description
⚠️ IMPORTANT NOTE ⚠️
This is the legacy adapter-transformers
library, which has been replaced by the new Adapters library, found here: https://github.com/adapter-hub/adapters.
- ⚠️ Beginning with version 4.0.0, the
adapter-transformers
package will automatically install the latestadapters
package version instead. ⚠️
From this version on, theadapter-transformers
package does not contain any own functionality. - Older versions of
adapter-transformers
are kept for archival purposes, and should not be used for active projects.
Install the new library directly via: pip install adapters
.
The documentation of adapter-transformers can be found at https://docs-legacy.adapterhub.ml. The documentation of the new Adapters library can be found at https://docs.adapterhub.ml. For transitioning, please read: https://docs.adapterhub.ml/transitioning.html.
Adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
🌍 Website • 💻 GitHub • 📚 Docs • 📜 Paper • 🧪 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
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