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 saved_model.pb from keras-io/Image-Classification-using-EANet: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/keras-io/Image-Classification-using-EANet/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/Image-Classification-using-EANet/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/Image-Classification-using-EANet/resolve/main/saved_model.pb
3.28 MB
- Xet hash:
- ff3821e08041592619f939357a0befecb7438c5768326f6e832e9896e56f494c
- Size of remote file:
- 3.28 MB
- SHA256:
- 6ad7e1fb6932698a89ce29bc662782a89d14dc9f4e05017a50de11347b25ea8f
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