Instructions to use logasja/auramask-ensemble-brooklyn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-brooklyn 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-brooklyn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81cee921d94f0430aa4e10802423a7b438175e675e22ace76700e3b4f2ad4d91
- Size of remote file:
- 274 MB
- SHA256:
- 132e362afa199da17d7447c7fa1d7111cbc54a4d6eba1b25d26634270660b8b8
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