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:
- b8de6dbcab2df6bbecea15f0d556112e131e692cdabd1252dd5528be9cca49bb
- Size of remote file:
- 4.08 MB
- SHA256:
- 3ef275c749edcecd52e9b4a6215591b9516417ba77f4c5e595a3f9a7d3caf776
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