Instructions to use Redgerd/XceptionNet-Keras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Redgerd/XceptionNet-Keras with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Redgerd/XceptionNet-Keras") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea5a18db1d27f2bccc9c7486757887922a1d894534c77c79996991150e44d252
- Size of remote file:
- 131 MB
- SHA256:
- d8c61f979b3b201629e35610ecae116464ad5bbef925de0dd63d3b7475df2f28
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