Instructions to use kevinwang676/vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinwang676/vae with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kevinwang676/vae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download G_9750.pth from kevinwang676/vae: direct link, hf CLI and curl.
- Browser
- Download file 543 MB
-
https://huggingface.co/kevinwang676/vae/resolve/main/G_9750.pth
- Command line
-
hf download hf://kevinwang676/vae/G_9750.pth
-
curl -L -o G_9750.pth https://huggingface.co/kevinwang676/vae/resolve/main/G_9750.pth
543 MB
- Xet hash:
- 7baf2a45796fd2820293ad84a90382f0a8bf67b1e3fae2e74b1d008ccd78197b
- Size of remote file:
- 543 MB
- SHA256:
- 16d841f7f1f572a76d5b469f4a44bc9951ad0537388909dfbbd716696627fbbb
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