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 D_9750.pth from kevinwang676/vae: direct link, hf CLI and curl.
- Browser
- Download file 561 MB
-
https://huggingface.co/kevinwang676/vae/resolve/main/D_9750.pth
- Command line
-
hf download hf://kevinwang676/vae/D_9750.pth
-
curl -L -o D_9750.pth https://huggingface.co/kevinwang676/vae/resolve/main/D_9750.pth
561 MB
- Xet hash:
- f1acda437c166f69926039486c26d791761149511201ae89ac270627feb2cb68
- Size of remote file:
- 561 MB
- SHA256:
- 755f3424a2d65bbc2c31f06afb5ead33ff961d3349993e1f349f931210806a28
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