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EnigmaConsultant
/
huntr-poc-keras-numpy-dtype-subarray-alloc-oom

Keras
security
poc
huntr
deserialization
denial-of-service
Model card Files Files and versions
xet
Community

Instructions to use EnigmaConsultant/huntr-poc-keras-numpy-dtype-subarray-alloc-oom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use EnigmaConsultant/huntr-poc-keras-numpy-dtype-subarray-alloc-oom with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://EnigmaConsultant/huntr-poc-keras-numpy-dtype-subarray-alloc-oom")
    
  • Notebooks
  • Google Colab
  • Kaggle

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