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:
- e15351d15098151984fa4d21bc772dda31f1552879a98bd424d293fa0afa6fa5
- Size of remote file:
- 52.7 MB
- SHA256:
- 29ff3516447c1d913832b1a8c915e1ad87fd19a08f746152f1d10d99c82f8fff
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