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frangelbarrera
/
phishlens-mlp

Tabular Classification
Keras
English
cybersecurity
phishing-detection
url-classification
binary-classification
defensive-security
Model card Files Files and versions
xet
Community

Instructions to use frangelbarrera/phishlens-mlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use frangelbarrera/phishlens-mlp with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://frangelbarrera/phishlens-mlp")
    
  • Notebooks
  • Google Colab
  • Kaggle
phishlens-mlp
233 kB
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  • 1 contributor
History: 4 commits
frangelbarrera's picture
frangelbarrera
Delete phishlens-model-README.md
d06ce24 verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • LICENSE
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  • README.md
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  • SHA256SUMS
    411 Bytes
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  • feature_names.json
    855 Bytes
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  • metrics.json
    124 kB
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  • my_model.keras
    97.4 kB
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  • scaler.pkl

    Detected Pickle imports (5)

    • "sklearn.preprocessing._data.StandardScaler",
    • "numpy.ndarray",
    • "numpy._core.multiarray.scalar",
    • "numpy._core.multiarray._reconstruct",
    • "numpy.dtype"

    How to fix it?

    1.64 kB
    xet
    Upload 8 files 8 days ago
  • training_metadata.json
    1.58 kB
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