Instructions to use SweetGuard/GUARD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use SweetGuard/GUARD with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://SweetGuard/GUARD") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - ko | |
| - en | |
| metrics: | |
| - accuracy | |
| - recall | |
| - precision | |
| tags: | |
| - homecam | |
| - privacy | |
| - action-detection | |
| - violence-detection | |