Instructions to use logasja/auramask-vggface-inkwell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-vggface-inkwell with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://logasja/auramask-vggface-inkwell") - Notebooks
- Google Colab
- Kaggle
| {"keras_version": "3.9.0", "date_saved": "2025-03-07@15:50:24"} |