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 ·
5ab13ce
1
Parent(s): 70c45c0
Update model_index.json
Browse files- model_index.json +1 -1
model_index.json
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@@ -3,7 +3,7 @@
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"_module": "modeling_ddpm.py",
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"noise_scheduler": [
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"diffusers",
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"
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],
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"unet": [
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"diffusers",
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"_module": "modeling_ddpm.py",
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"noise_scheduler": [
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"diffusers",
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"DDPMScheduler"
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],
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"unet": [
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"diffusers",
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