Instructions to use fusing/unet-ldm-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/unet-ldm-dummy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/unet-ldm-dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c800527cca5323059326de68f31a4222e18b4c3c1aeefbb8b49b2584ea81ed1f
- Size of remote file:
- 3.74 MB
- SHA256:
- 6423c29669dc4c5886870347d3d1d23d341b2be7b16556e55b05b93b8643003a
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