Instructions to use Wauplin/keras_image_classification_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Wauplin/keras_image_classification_example with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Wauplin/keras_image_classification_example") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57594b6a5533710b562cee90b61e5bc90ad68e7b16d78851f11defe26dd7db88
- Size of remote file:
- 11 MB
- SHA256:
- 36d27ce3f9ca8c6f1ac727ae1c757c2b4a767b69e1f57868161dcd334a88d3b7
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