Instructions to use MuhammadAhmad21042002/cifar10_demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MuhammadAhmad21042002/cifar10_demo with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MuhammadAhmad21042002/cifar10_demo") - Notebooks
- Google Colab
- Kaggle
Upload tensorflow.h5
Browse files- tensorflow.h5 +3 -0
tensorflow.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:809fc9e00776f152e6c5b23a2e9bacf76465e1047b5016fe70db76eb1ddf9833
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size 259542304
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