Instructions to use Uni-Edit/Uni-Edit-BAGEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Uni-Edit/Uni-Edit-BAGEL with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Uni-Edit/Uni-Edit-BAGEL", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README
Browse files
README.md
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@@ -9,14 +9,14 @@ license: apache-2.0
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<p align="left">
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<img src="https://github.com/zhengdian1/Uni-Edit/
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</p>
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# 🥯
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[**Project Page**]() | [**GitHub Repository**](https://github.com/zhengdian1/Uni-Edit) | [**Paper**]()
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# 👀 Intro
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## 🎥 Demo
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Refer to our website [[🌐Project Page]]()
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## 🚀 Training and Inference
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@article{zheng2026uniedit,
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title = {Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning},
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author = {Zheng, Dian and Zhang, Manyuan and Li, Hongyu and Liu, Hongbo and Zou, Kai and Feng, Kaituo and Li, Hongsheng},
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journal = {},
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year = {2026}
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}
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```
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<p align="left">
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<img src="https://github.com/zhengdian1/Uni-Edit/blob/main/assets/logo.jpg?raw=true" alt="Uni-Edit" width="480"/>
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</p>
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# 🥯 Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning
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[**Project Page**](https://zhengdian1.github.io/Uni-Edit-proj/) | [**GitHub Repository**](https://github.com/zhengdian1/Uni-Edit) | [**Paper**](https://arxiv.org/pdf/2605.21487)
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# 👀 Intro
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## 🎥 Demo
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Refer to our website [[🌐Project Page]](https://zhengdian1.github.io/Uni-Edit-proj/)
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## 🚀 Training and Inference
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@article{zheng2026uniedit,
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title = {Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning},
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author = {Zheng, Dian and Zhang, Manyuan and Li, Hongyu and Liu, Hongbo and Zou, Kai and Feng, Kaituo and Li, Hongsheng},
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journal = {arXiv preprint arXiv:2605.21487},
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year = {2026}
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}
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```
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