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_0.pth from kevinwang676/vae: direct link, hf CLI and curl.
- Browser
- Download file 181 MB
-
https://huggingface.co/kevinwang676/vae/resolve/main/G_0.pth
- Command line
-
hf download hf://kevinwang676/vae/G_0.pth
-
curl -L -o G_0.pth https://huggingface.co/kevinwang676/vae/resolve/main/G_0.pth
181 MB
- Xet hash:
- 971a0a83ff42e7902696debee1c91b9bb91015c3022fee7a5cc9502e3416c512
- Size of remote file:
- 181 MB
- SHA256:
- 20a327c54e5731bed377bd38404bc32ab98e66a1b2777b0af4cc034d4d6914b0
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