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:
- b78e25b0671b20a7c7ecb9062d347ddcfffc40f1ea6b66aa39c6282839dde8e8
- Size of remote file:
- 100 kB
- SHA256:
- 2724369cf7f553f35c3a9e29293d46e337a51a6f0220e2c1465aff1d2496bb20
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