Instructions to use VictorSanh/vqvae_ckpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VictorSanh/vqvae_ckpts with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VictorSanh/vqvae_ckpts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be0ec2c537a4c5336665f5514dc6a3eae1330611e4b14ce10dfe6577aeb1c6e0
- Size of remote file:
- 585 MB
- SHA256:
- fed960b9b88968dcaab28fd0cb28b786693b83b21fa93b1a1ad1177b3f7e9fd1
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