Instructions to use nateraw/autokeras_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use nateraw/autokeras_image_classification 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("nateraw/autokeras_image_classification") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from nateraw/autokeras_image_classification: direct link, hf CLI and curl.
- Browser
- Download file 153 kB
-
https://huggingface.co/nateraw/autokeras_image_classification/resolve/main/saved_model.pb
- Command line
-
hf download hf://nateraw/autokeras_image_classification/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/nateraw/autokeras_image_classification/resolve/main/saved_model.pb
153 kB
- Xet hash:
- 75309887e1b0aa084c5700c28639b329902ec77bad6ae94f2cb74337dd766c04
- Size of remote file:
- 153 kB
- SHA256:
- dbab429f6dbde368f669fd81238b2a5454a53a913dd1a85f3fd7502bf61cd904
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