Instructions to use logasja/auramask-ensemble-dogpatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-dogpatch 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-ensemble-dogpatch") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7781bd8ed30bddd6b2f305618bf4d71291b220d0f55c0259a89096c237c81da3
- Size of remote file:
- 98.8 kB
- SHA256:
- 0e5886f1e25c32a94620440dbd323c33d4503d005407ddf16f71a15f4136b645
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