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/calibration_thresholds.json from InsiderGuard-AI/ueba-models-v6: direct link, hf CLI and curl.
- Browser
- Download file 279 Bytes
-
https://huggingface.co/InsiderGuard-AI/ueba-models-v6/resolve/main/encoder_model_6/calibration_thresholds.json
- Command line
-
hf download hf://InsiderGuard-AI/ueba-models-v6/encoder_model_6/calibration_thresholds.json
-
curl -L -o calibration_thresholds.json https://huggingface.co/InsiderGuard-AI/ueba-models-v6/resolve/main/encoder_model_6/calibration_thresholds.json
279 Bytes
| { | |
| "ae": { | |
| "LOW": 241.74905014038086, | |
| "MEDIUM": 543.5245117187519, | |
| "HIGH": 741.5929092407275, | |
| "CRITICAL": null | |
| }, | |
| "if": { | |
| "LOW": 0.5540427008418602, | |
| "MEDIUM": 0.6647001185858218, | |
| "HIGH": 0.7073527533238554, | |
| "CRITICAL": null | |
| } | |
| } |