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:
- 9bc5b629877dfedaf921a81b644867f46d939a910d2688f882545278bd05bd0e
- Size of remote file:
- 65 kB
- SHA256:
- 74314385eaaf8dfe6c64873f370b22b3654bf2b36e4b65f9b12f2cf5630defeb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.