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COCODEDE04
/
Static-Fingerprint-API-1

Keras
Joblib
Model card Files Files and versions
xet
Community

Instructions to use COCODEDE04/Static-Fingerprint-API-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use COCODEDE04/Static-Fingerprint-API-1 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://COCODEDE04/Static-Fingerprint-API-1")
    
  • Notebooks
  • Google Colab
  • Kaggle
Static-Fingerprint-API-1
1.67 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
COCODEDE04's picture
COCODEDE04
Create example_input.json
d537ef7 verified 8 months ago
  • .gitattributes
    1.57 kB
    Upload 4 files 8 months ago
  • Means & Std for Excel.json
    1.86 kB
    Upload Means & Std for Excel.json 8 months ago
  • Minimal requirements.txt
    44 Bytes
    Create Minimal requirements.txt 8 months ago
  • app.py
    3.18 kB
    Create app.py 8 months ago
  • best_model.h5
    431 kB
    xet
    Upload best_model.h5 8 months ago
  • best_model.keras
    1.23 MB
    xet
    Upload 4 files 8 months ago
  • best_params_and_metrics.json
    1.61 kB
    Upload 4 files 8 months ago
  • example_input.json
    730 Bytes
    Create example_input.json 8 months ago
  • imputer.joblib

    Detected Pickle imports (4)

    • "numpy.ndarray",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy.dtype",
    • "sklearn.impute._base.SimpleImputer"

    How to fix it?

    655 Bytes
    xet
    Upload 4 files 8 months ago
  • scaler.joblib

    Detected Pickle imports (5)

    • "sklearn.preprocessing._data.StandardScaler",
    • "numpy.ndarray",
    • "numpy.dtype",
    • "numpy.core.multiarray.scalar",
    • "joblib.numpy_pickle.NumpyArrayWrapper"

    How to fix it?

    1.1 kB
    xet
    Upload 4 files 8 months ago