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VilaVision
/
mutualfundclassification

Text Classification
Keras
Joblib
English
finance
Model card Files Files and versions
xet
Community

Instructions to use VilaVision/mutualfundclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use VilaVision/mutualfundclassification with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://VilaVision/mutualfundclassification")
    
  • Notebooks
  • Google Colab
  • Kaggle
mutualfundclassification
390 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
alokpandey's picture
alokpandey
Upload amc_classifier_20241110_045316_label_encoder.joblib
38b4868 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.05 kB
    Update README.md over 1 year ago
  • amc_classifier_20241110_045316_label_encoder.joblib

    Detected Pickle imports (6)

    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "_codecs.encode",
    • "numpy.core.multiarray._reconstruct",
    • "numpy.ndarray",
    • "sklearn.preprocessing._label.LabelEncoder",
    • "numpy.dtype"

    How to fix it?

    583 Bytes
    xet
    Upload amc_classifier_20241110_045316_label_encoder.joblib over 1 year ago
  • fund_predictor_model_20241103_230654.joblib
    390 MB
    xet
    Upload fund predictor model over 1 year ago
  • investment_recommender_20241109_074051.pkl
    258 kB
    xet
    Upload investment_recommender_20241109_074051.pkl over 1 year ago