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:
- ac2d230e36b94f8b2472800126f6ebe48bcd9427aa5ef5e880429b66cd1eb34b
- Size of remote file:
- 274 MB
- SHA256:
- d83e37a74ab752a8f040da2f1fa519d073392ded08d75ffe142fe12a4397d46c
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