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/0bd77de879b478d3d2c08404574396e45fc07e94/diffusion_model.pt
- Command line
-
hf download hf://diffusers/ddpm_dummy@0bd77de879b478d3d2c08404574396e45fc07e94/diffusion_model.pt
-
curl -L -o diffusion_model.pt https://huggingface.co/diffusers/ddpm_dummy/resolve/0bd77de879b478d3d2c08404574396e45fc07e94/diffusion_model.pt
287 kB
- Xet hash:
- 613f36a017c20bec1909bafd406704927071ec66a9a467bafba49a475f08fdeb
- Size of remote file:
- 287 kB
- SHA256:
- d284c6f43acade4655fcc7042d8974074bb66c5a8090ef61e9076c06da9e879c
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