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 scheduler_config.json from diffusers/ddpm_dummy: direct link, hf CLI and curl.
- Browser
- Download file 3 Bytes
-
https://huggingface.co/diffusers/ddpm_dummy/resolve/main/scheduler_config.json
- Command line
-
hf download hf://diffusers/ddpm_dummy/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/diffusers/ddpm_dummy/resolve/main/scheduler_config.json
3 Bytes
| {} | |