Instructions to use SondosM/api_GP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use SondosM/api_GP with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://SondosM/api_GP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae7e0ed3b27ade9e2b0d755000fadfa647049f2def410097dceb34531d99a3a9
- Size of remote file:
- 13.8 MB
- SHA256:
- e771b17333debbb044e9a9d5ff11c107fc5237682ebe5c4c6bad67a1d44d36f7
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