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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <p align="center">
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+ <img style="vertical-align:middle" src="https://raw.githubusercontent.com/Adapter-Hub/adapters/main/docs/img/adapter-bert.png" width="80" />
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+ </p>
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+ <h1 align="center">
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+ <span><i>Adapters</i></span>
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+ </h1>
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+
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+ <h3 align="center">
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+ A Unified Library for Parameter-Efficient and Modular Transfer Learning
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+ </h3>
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+ <h3 align="center">
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+ <a href="https://adapterhub.ml">πŸ’» Website</a>
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+ &nbsp; β€’ &nbsp;
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+ <a href="https://docs.adapterhub.ml">πŸ“š Documentation</a>
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+ &nbsp; β€’ &nbsp;
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+ <a href="https://arxiv.org/abs/2311.11077">πŸ“œ Paper</a>
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+ &nbsp; β€’ &nbsp;
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+ <a href="https://github.com/Adapter-Hub/adapters/tree/main/notebooks">πŸ§ͺ Notebook Tutorials</a>
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+ </h3>
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+ _Adapters_ is an add-on library to [HuggingFace's Transformers](https://github.com/huggingface/transformers), integrating [various adapter methods](https://docs.adapterhub.ml/overview.html) into [state-of-the-art pre-trained language models](https://docs.adapterhub.ml/model_overview.html) with minimal coding overhead for training and inference.
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+ ```
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+ pip install adapters
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+ ```