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 4.08 MB
-
https://huggingface.co/diffusers/ddpm_dummy/resolve/bd6c7bc448048d4d12a676517f8752a237d6223d/diffusion_model.pt
- Command line
-
hf download hf://diffusers/ddpm_dummy@bd6c7bc448048d4d12a676517f8752a237d6223d/diffusion_model.pt
-
curl -L -o diffusion_model.pt https://huggingface.co/diffusers/ddpm_dummy/resolve/bd6c7bc448048d4d12a676517f8752a237d6223d/diffusion_model.pt
4.08 MB
- Xet hash:
- b8de6dbcab2df6bbecea15f0d556112e131e692cdabd1252dd5528be9cca49bb
- Size of remote file:
- 4.08 MB
- SHA256:
- 3ef275c749edcecd52e9b4a6215591b9516417ba77f4c5e595a3f9a7d3caf776
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