Instructions to use keras-io/Image-Classification-using-EANet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/Image-Classification-using-EANet 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/Image-Classification-using-EANet") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from keras-io/Image-Classification-using-EANet: direct link, hf CLI and curl.
- Browser
- Download file 193 kB
-
https://huggingface.co/keras-io/Image-Classification-using-EANet/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://keras-io/Image-Classification-using-EANet/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/keras-io/Image-Classification-using-EANet/resolve/main/keras_metadata.pb
193 kB
- Xet hash:
- 8384d9787ffe602239efe100c3cdc434ad43ac529bd18c54a8de5d99880cf0e3
- Size of remote file:
- 193 kB
- SHA256:
- 10a6bf45954a9a3dcbbd850c566d104ead2a81570399a6c2cc995713f7b96787
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