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
Commit ·
f5e6fe1
1
Parent(s): 7bc44c6
Update model_index.json
Browse files- model_index.json +1 -1
model_index.json
CHANGED
|
@@ -7,6 +7,6 @@
|
|
| 7 |
],
|
| 8 |
"unet": [
|
| 9 |
"diffusers",
|
| 10 |
-
"
|
| 11 |
]
|
| 12 |
}
|
|
|
|
| 7 |
],
|
| 8 |
"unet": [
|
| 9 |
"diffusers",
|
| 10 |
+
"UNetUnconditionalModel"
|
| 11 |
]
|
| 12 |
}
|