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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diffusers/ddpm_dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download diffusion_model.pt from diffusers/ddpm_dummy: direct link, hf CLI and curl.
- Browser
- Download file 287 kB
-
https://huggingface.co/diffusers/ddpm_dummy/resolve/c9de2e1d5fdb608d8b3a3f0cb22baf2d785180e2/diffusion_model.pt
- Command line
-
hf download hf://diffusers/ddpm_dummy@c9de2e1d5fdb608d8b3a3f0cb22baf2d785180e2/diffusion_model.pt
-
curl -L -o diffusion_model.pt https://huggingface.co/diffusers/ddpm_dummy/resolve/c9de2e1d5fdb608d8b3a3f0cb22baf2d785180e2/diffusion_model.pt
287 kB
- Xet hash:
- 158ef1f3d34cf97ad5885eaaac8bc2052aa4861b5566bf38ab2cb680ef51dfd7
- Size of remote file:
- 287 kB
- SHA256:
- ad34ebeecf4eeffe8cadf6ade939ed5e051008e274b24cf0c997d115e809a7de
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