adapter-hub/adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
- Stars
- 2.8k
- Forks
- 373
- Open issues
- 44
- Last push
- 5mo ago
About adapters
adapters is a free, open-source machine learning tool by adapter-hub, written mainly in Python. A Unified Library for Parameter-Efficient and Modular Transfer Learning. It has 2.8k GitHub stars and 373 forks, and was last updated 5mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 2,830
- Last update
- 5mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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adapters FAQ
Is adapters free?
Yes. adapters is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does adapters run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does adapters need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is adapters still maintained?
It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to adapters?
Similar free, open-source tools include peft, pytorch-image-models, ludwig, MetaClaw.