Instructions to use keras-io/learning_to_tokenize_in_ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/learning_to_tokenize_in_ViT 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/learning_to_tokenize_in_ViT") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/learning_to_tokenize_in_ViT: direct link, hf CLI and curl.
- Browser
- Download file 1.56 MB
-
https://huggingface.co/keras-io/learning_to_tokenize_in_ViT/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/learning_to_tokenize_in_ViT/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/learning_to_tokenize_in_ViT/resolve/main/saved_model.pb
1.56 MB
- Xet hash:
- aa612a1a6bfb73d70d999ab74ccdec9daaaefdc3bbe39225f86d20c436ad7afb
- Size of remote file:
- 1.56 MB
- SHA256:
- 42cf73763d8b3afce4e4dabdd6c05d6b07153582414e0b770b584e1bea762089
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