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:
- 4b7e345494859b5793d98ea09f361a67e13b4d18fbc8df4733335fa61f0a6803
- Size of remote file:
- 6.07 MB
- SHA256:
- 42c172d78f22bde1e35189159c4e3163f3096f5014e9d84bd926414f814c6fd2
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