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:
- 88e7ff1793d8b7a939a3f25a78d3f5cbe9afffc4a1e9a6f1661379d470a7ff2f
- Size of remote file:
- 615 kB
- SHA256:
- 1dbe2944b6af5664b673b694ba97190801d0b08c4560603dbe4f6ce33f02d4a5
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