Instructions to use Juna190825/github_jeffprosise_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Juna190825/github_jeffprosise_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Juna190825/github_jeffprosise_model") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c9c215a8d4975da2e32bbdb26a8122a3c96d9d6bb1bc63a398f624f10656b05e
- Size of remote file:
- 137 kB
- SHA256:
- 28f9e9414b8b890760918b6f221caf25e81241341cd1333def8e5614e2d527fc
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