Instructions to use diff-interpretation-tuning/loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diff Interpretation Tuning
How to use diff-interpretation-tuning/loras with Diff Interpretation Tuning:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -11,6 +11,9 @@ This paper introduces *Diff Interpretation Tuning*, a method that trains a LoRA
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To play around with the weight diffs and DIT adapters from the paper, please check out our [Google Colab demo notebook](https://colab.research.google.com/drive/12YD_9GRT-y_hFOBqXzyI4eN_lJGKiXwN?usp=sharing).
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The code used to train and evaluate the weight diffs and DIT adapters can be found at [github.com/Aviously/diff-interpretation-tuning](https://github.com/Aviously/diff-interpretation-tuning).
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You can cite our work using the following bibtex
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```
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@misc{goel2025learninginterpretweightdifferences,
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To play around with the weight diffs and DIT adapters from the paper, please check out our [Google Colab demo notebook](https://colab.research.google.com/drive/12YD_9GRT-y_hFOBqXzyI4eN_lJGKiXwN?usp=sharing).
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The code used to train and evaluate the weight diffs and DIT adapters can be found at [github.com/Aviously/diff-interpretation-tuning](https://github.com/Aviously/diff-interpretation-tuning).
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A diagrammatic overview of Diff Interpretation Tuning is shown below:
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<img src="dit-diagram.png" alt="Diagram of Diff Interpretation Tuning" width="600"/>
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You can cite our work using the following bibtex
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```
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@misc{goel2025learninginterpretweightdifferences,
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