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

- Xet hash:
- f957ca70962ecc7083730e1fad5038e6eb247e72bddf73c3539d13267e7473b1
- Size of remote file:
- 3.06 MB
- SHA256:
- bc2525ffd9f370acb572663b856765b7c1352e078e32eb872ac66701f08dd003
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