Instructions to use logasja/auramask-ensemble-skyline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-skyline 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-skyline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e73c322278bfdc37d50ef7a1e273fca98df804479dcc39cd323246fcf8220ea
- Size of remote file:
- 274 MB
- SHA256:
- 16e20e3869c64456980bf34b415ea0fc2b5c91c9213a35afe045914d2e1e7a1a
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