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:
- ce2def2a5694dec9f23104137d2634e0d4fca30275282c01cd565d441127184c
- Size of remote file:
- 8 MB
- SHA256:
- 50acc129ec343e65eb1a3370a4cbe9f18d85535fa25f1913772df278dc79152a
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