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c299m
/
jfinance-title2return-v1

sentence-transformers
Joblib
sklearn_gradient_boosting_regressor
finance
japanese
stock-prediction
gradient-boosting
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use c299m/jfinance-title2return-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use c299m/jfinance-title2return-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("c299m/jfinance-title2return-v1")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
jfinance-title2return-v1
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Migaku
remove ipynb checkpoints & ignore them
bc62bc6 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • .gitignore
    20 Bytes
    remove ipynb checkpoints & ignore them 12 months ago
  • README.md
    2.23 kB
    initial model card & files 12 months ago
  • config.json
    251 Bytes
    initial model card & files 12 months ago
  • model.joblib

    Detected Pickle imports (6)

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

    How to fix it?

    473 kB
    xet
    initial model card & files 12 months ago
  • predict_ret_next.py
    1.7 kB
    initial model card & files 12 months ago
  • requirements.txt
    92 Bytes
    initial model card & files 12 months ago