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 from transformers import pipeline pipe = pipeline("image-to-image", model="bytedance-research/UNO")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bytedance-research/UNO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- assets/logo.png +0 -0
- assets/simplecase.jpeg +3 -0
- assets/teaser.jpg +3 -0
assets/logo.png
ADDED
|
assets/simplecase.jpeg
ADDED
|
Git LFS Details
|
assets/teaser.jpg
ADDED
|
Git LFS Details
|