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 keras_metadata.pb from keras-io/learning_to_tokenize_in_ViT: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/keras-io/learning_to_tokenize_in_ViT/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://keras-io/learning_to_tokenize_in_ViT/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/keras-io/learning_to_tokenize_in_ViT/resolve/main/keras_metadata.pb
669 kB
- Xet hash:
- 0dad4b5f677c768331d183f80671a672e9f854e23c1503ea9bf57b695e62a2db
- Size of remote file:
- 669 kB
- SHA256:
- db070fa080273e8319c951cccc5d28bb6bb1c86fa89ea3090ee44bafb486e05a
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