adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Fine-tune AI models efficiently with a library that simplifies transfer learning (Zed required)
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adapters has 2.8k stars on GitHub. It has been forked 371 times. adapters is written mainly in Python. It has been in active development since 2020. adapters is available under the Apache-2.0 license. Its main topics are adapters, bert, lora, natural-language-processing.
What is adapters?
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Is adapters open source?
adapters is an open-source project. It is released under the Apache-2.0 license.
Is adapters free?
Yes. adapters is free and open source — you can use, modify and self-host it.
What license does adapters use?
adapters is available under the Apache-2.0 license.
What language is adapters written in?
adapters is written mainly in Python.
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