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
tflite version
Browse files- model.tflite +3 -0
model.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:d83e37a74ab752a8f040da2f1fa519d073392ded08d75ffe142fe12a4397d46c
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size 273816916
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