Instructions to use CyberTea/digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CyberTea/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://CyberTea/digits") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2971d7594083804edcfd8c60784236a94c5ae45310e5f5737a8a7b234214f9aa
- Size of remote file:
- 12.5 kB
- SHA256:
- 860cf6015cd5753d3a760077a0cf3e3277001ee7980c8f49671110d0229d569a
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