Instructions to use InsiderGuard-AI/ueba-models-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use InsiderGuard-AI/ueba-models-v6 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://InsiderGuard-AI/ueba-models-v6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1032cf74c48358d375d82969e4fdd51f83c3728267fc1e269613996818b00bac
- Size of remote file:
- 10.3 kB
- SHA256:
- cd1a0de3b1b79d0913c4612b7e38d272942a514fd13849278f424ef627b7c668
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