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:
- 69a2c4f5ade7460aee6f588a35ae629f1e81da1bb64459fa32142994009f274e
- Size of remote file:
- 4.12 MB
- SHA256:
- 1d08c6ecc96d18ac1f75494bcae2ef6fba657bd3ee02175dc7c05176ba1cc143
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