Instructions to use logasja/auramask-ensemble-sutro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-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-ensemble-sutro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56bcf8b8a18623632e6af2efc4fe9eadff91bd55acb92f918e2c19ea5527cb2c
- Size of remote file:
- 274 MB
- SHA256:
- 0e555231b36215baf22ab00ec5569172009709d22b75b1c7c14555bb40447ace
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