Instructions to use fusing/ddpm-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/ddpm-cifar10 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/ddpm-cifar10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
638304a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:344610796b6d932acb6f5a259b768feff12342138a78d8be3c15a1e9419852cb
size 143094129
|