Instructions to use lenawilli/SOE_Python_App with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lenawilli/SOE_Python_App with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lenawilli/SOE_Python_App") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54da27f58f7c7a5649dd507203d5280f4911bc6e51b5070b397d1ecc760d2a56
- Size of remote file:
- 5.07 MB
- SHA256:
- 0e5618ac303f871d6fd0f81aa96848b0b52d722566b829b3dcbdd6a0d83ee771
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