Instructions to use nateraw/autoencoder-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/autoencoder-cifar10 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/autoencoder-cifar10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 966b01846755e5ec178f2ee4a2aca8f539a88ff2ffa5c896cb8ca02755398915
- Size of remote file:
- 6.45 MB
- SHA256:
- 57c970c23ff116d94519c22a011b1f88c9c7976fe4b05c40dd9bd772b82070fe
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