Instructions to use WhiteDevilOP/cifar10-cnn-image-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use WhiteDevilOP/cifar10-cnn-image-classifier with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://WhiteDevilOP/cifar10-cnn-image-classifier") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from WhiteDevilOP/cifar10-cnn-image-classifier: direct link, hf CLI and curl.
- Browser
- Download file 163 kB
-
https://huggingface.co/WhiteDevilOP/cifar10-cnn-image-classifier/resolve/main/saved_model.pb
- Command line
-
hf download hf://WhiteDevilOP/cifar10-cnn-image-classifier/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/WhiteDevilOP/cifar10-cnn-image-classifier/resolve/main/saved_model.pb
163 kB
- Xet hash:
- e4e63c981fb6f0b6edf4f78627ce5c9c7813e291642023b45883e49d064ae74d
- Size of remote file:
- 163 kB
- SHA256:
- 63694bc64e1695086b41b1e879322ffe54e6e17a9b657326f98bf4c12b6bf4bc
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