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EnigmaConsultant
/
huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier

Keras
Model card Files Files and versions
xet
Community

Instructions to use EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier with Keras:

    # !pip install -U keras tensorflow huggingface_hub
    # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
    # "jax" and "torch" also work for computation once TensorFlow is installed.
    import os
    os.environ["KERAS_BACKEND"] = "tensorflow"
    
    import keras
    
    model = keras.saving.load_model("hf://EnigmaConsultant/huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier")
    
  • Notebooks
  • Google Colab
  • Kaggle
huntr-poc-modelscan-keras-vectorizedmap-lambda-carrier
34.2 kB
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  • 1 contributor
History: 2 commits
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EnigmaConsultant
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  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    6.53 kB
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  • build_poc.py
    1.29 kB
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  • control_lambda.keras
    12.7 kB
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  • demo_load.py
    476 Bytes
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  • evil_vectorizedmap.keras
    10.7 kB
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  • modelscan_control_result.json
    647 Bytes
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  • modelscan_evil_result.json
    421 Bytes
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