Instructions to use fusing/ddpm-lsun-cat-ema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/ddpm-lsun-cat-ema with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/ddpm-lsun-cat-ema", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0498f704958a21cc0a91ec8da35179b7f9c22cc0f2e3ba27b69b793eed59770f
- Size of remote file:
- 455 MB
- SHA256:
- 6ee370cee9494cfb31263619232a56cc4f6b9cde93b93ee1463b23cb3e3b0fbc
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