Instructions to use keras-io/supervised-contrastive-learning-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/supervised-contrastive-learning-cifar10 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/supervised-contrastive-learning-cifar10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b545a831c41c6c0682a6e1813039383e8624e6699502865808bc241736a97d42
- Size of remote file:
- 5.63 MB
- SHA256:
- f4fbf3dedd57d96e4ba99891b8cd4896c4027bae5ad21ec08813fbc967f1eb73
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