Instructions to use keras-io/vit-small-ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/vit-small-ds with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/vit-small-ds") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/vit-small-ds: direct link, hf CLI and curl.
- Browser
- Download file 2.89 MB
-
https://huggingface.co/keras-io/vit-small-ds/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/vit-small-ds/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/vit-small-ds/resolve/main/saved_model.pb
2.89 MB
- Xet hash:
- 8900e46c03d260a721a6bb7dd3a2fb9925d4929de00f8c4a4532556ab3008926
- Size of remote file:
- 2.89 MB
- SHA256:
- 641fc7575b4c3b5d77c51f0cdc205149f7baafd8deb5fe87d16b7e1ef6c2465b
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