Instructions to use WillNuyen228/auramask-heavy_pixelate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use WillNuyen228/auramask-heavy_pixelate with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://WillNuyen228/auramask-heavy_pixelate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ed3ab18f547d81c0cbe41ec633945e73dc1a5f4fa2142244ae27e35177e5b03
- Size of remote file:
- 373 kB
- SHA256:
- 60b341480c9dbe8792e370c61eeb1a4bddeb487650e2b27b48cb4f878da46864
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