Instructions to use ChilNik/PR_digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ChilNik/PR_digits with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ChilNik/PR_digits") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd48a8d92ef325ef4e08bc10e8e40aa9471e29a5ddfdcb88f3ad07a218c9cdae
- Size of remote file:
- 117 kB
- SHA256:
- 8de3acfd1d2d1458695ee85c2f25f39318d3720a691135169ab6c53792f4938b
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