Instructions to use bytedance-research/UNO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bytedance-research/UNO with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-image" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-image", model="bytedance-research/UNO")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bytedance-research/UNO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/simplecase.jpeg from bytedance-research/UNO: direct link, hf CLI and curl.
- Browser
- Download file 622 kB
-
https://huggingface.co/bytedance-research/UNO/resolve/main/assets/simplecase.jpeg
- Command line
-
hf download hf://bytedance-research/UNO/assets/simplecase.jpeg
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curl -L -o simplecase.jpeg https://huggingface.co/bytedance-research/UNO/resolve/main/assets/simplecase.jpeg
622 kB

- Xet hash:
- 4243269d9a230e22c2d1e5f088105b8225c613425d61cd8c88160aa2543d059d
- Size of remote file:
- 622 kB
- SHA256:
- 05e4ab1c204a10cb08c9f4f4c332f824b332e3fadec5a7ccc99f0fa1a93c0739
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