Instructions to use keras-io/shiftvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/shiftvit 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/shiftvit") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 01c6f24c4f4ba84a6c20a6a975b41d8c4b2ce601167cf1fa25341b0644e4979d
- Size of remote file:
- 2.17 kB
- SHA256:
- fc79850b547a3a4a60c67f1c2808bdcf0ef7cd7eecf7d6ea6733b8e54af428ab
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