Instructions to use diffusers/ddpm_dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusers/ddpm_dummy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diffusers/ddpm_dummy", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 158ef1f3d34cf97ad5885eaaac8bc2052aa4861b5566bf38ab2cb680ef51dfd7
- Size of remote file:
- 287 kB
- SHA256:
- ad34ebeecf4eeffe8cadf6ade939ed5e051008e274b24cf0c997d115e809a7de
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