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:
- 406d66e22b23247275bc6ebe5f7efaed6accbf76da3c4e814fd08cd80c3ae8c5
- Size of remote file:
- 542 kB
- SHA256:
- c8f6ee2f2e68dddc2c39e8e2e78cd31a8f12dfb9032351a11c8ae26c3ca91299
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.