⚠️ 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This is the legacy adapter-transformers library, which has been replaced by the new Adapters library, found here: https://github.com/adapter-hub/adapters.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-transformerspackage will automatically install the latestadapterspackage version instead. ⚠️
From this version on, theadapter-transformerspackage does not contain any own functionality. - Older versions of
adapter-transformersare 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
3 maintainers
Release files for adapter-transformers 4.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| adapter_transformers-4.0.0.tar.gz | 2.9 kB | Details |
Release files / adapter_transformers-4.0.0.tar.gz
| Download URL | adapter_transformers-4.0.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
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