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Download ca/ACKNOWLEDGEMENTS.md from REAL-Lab-Imperial/eval-unlearn-packages: direct link, hf CLI and curl.
- Browser
- Download file 742 Bytes
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https://huggingface.co/datasets/REAL-Lab-Imperial/eval-unlearn-packages/resolve/main/ca/ACKNOWLEDGEMENTS.md
- Command line
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hf download hf://datasets/REAL-Lab-Imperial/eval-unlearn-packages/ca/ACKNOWLEDGEMENTS.md
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curl -L -o ACKNOWLEDGEMENTS.md https://huggingface.co/datasets/REAL-Lab-Imperial/eval-unlearn-packages/resolve/main/ca/ACKNOWLEDGEMENTS.md
742 Bytes
Acknowledgements
This package is a repackaging of the Concept Ablation (CA) implementation. All core unlearning logic is the work of the original authors. Please cite the paper if you use this package in your research.
Citation
@inproceedings{kumari2023conceptablation,
author = {Kumari, Nupur and Zhang, Bingliang and Wang, Sheng-Yu and Shechtman, Eli and Zhang, Richard and Zhu, Jun-Yan},
title = {Ablating Concepts in Text-to-Image Diffusion Models},
booktitle = {ICCV},
year = {2023},
}