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
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This model has been uploaded using the Keras library and can be used with JAX, TensorFlow, and PyTorch backends.
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The model config can be found in [config.json](./config.json).
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This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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This model has been uploaded using the Keras library and can be used with JAX, TensorFlow, and PyTorch backends.
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This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.
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The model config can be found in [config.json](./config.json). Here is its representation:
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