Instructions to use fusing/ddpm-lsun-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/ddpm-lsun-cat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/ddpm-lsun-cat", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47a4e178e19026205b4157b629f9dad60d9fb12634d3888021f371189f860262
- Size of remote file:
- 455 MB
- SHA256:
- 3a064803caabde8eb5ad2e5aa7e8967b9458de3486c7b6a126770f19dbe7a954
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