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logasja
/
auramask-ensemble-charmes

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xet
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Instructions to use logasja/auramask-ensemble-charmes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use logasja/auramask-ensemble-charmes 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-charmes")
    
  • Notebooks
  • Google Colab
  • Kaggle
auramask-ensemble-charmes
550 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
logasja's picture
logasja
Update metadata with huggingface_hub
c53625f verified about 1 year ago
  • assets
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  • .gitattributes
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  • README.md
    2.71 kB
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  • config.json
    71.3 kB
    Save model using Keras. about 1 year ago
  • metadata.json
    63 Bytes
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  • model.weights.h5
    548 MB
    xet
    Save model using Keras. about 1 year ago