Instructions to use AeonAIRisk/npz-object-array-ace-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AeonAIRisk/npz-object-array-ace-poc with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AeonAIRisk/npz-object-array-ace-poc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 545aa98f5ca22f515aed945be2363fee06645cd3a279d775dedbcd95591f97b3
- Size of remote file:
- 504 Bytes
- SHA256:
- 292a314e11fdc38999637a9d5cf776a392158d703af523943ead620ce673cd5d
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