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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://InsiderGuard-AI/ueba-models-v6") - Notebooks
- Google Colab
- Kaggle
Download encoder_model_6/encoder_model.keras from InsiderGuard-AI/ueba-models-v6: direct link, hf CLI and curl.
- Browser
- Download file 615 kB
-
https://huggingface.co/InsiderGuard-AI/ueba-models-v6/resolve/main/encoder_model_6/encoder_model.keras
- Command line
-
hf download hf://InsiderGuard-AI/ueba-models-v6/encoder_model_6/encoder_model.keras
-
curl -L -o encoder_model.keras https://huggingface.co/InsiderGuard-AI/ueba-models-v6/resolve/main/encoder_model_6/encoder_model.keras
615 kB
- Xet hash:
- 88e7ff1793d8b7a939a3f25a78d3f5cbe9afffc4a1e9a6f1661379d470a7ff2f
- Size of remote file:
- 615 kB
- SHA256:
- 1dbe2944b6af5664b673b694ba97190801d0b08c4560603dbe4f6ce33f02d4a5
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