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oandreae
/
financial_sentiment_model

Text Classification
Transformers
PyTorch
TensorBoard
perceiver
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use oandreae/financial_sentiment_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="oandreae/financial_sentiment_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("oandreae/financial_sentiment_model")
    model = AutoModelForSequenceClassification.from_pretrained("oandreae/financial_sentiment_model")
  • Notebooks
  • Google Colab
  • Kaggle
financial_sentiment_model / runs
44.9 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
oandreae's picture
oandreae
End of training
a5d5cee over 4 years ago
  • Jan20_19-15-38_29985f6e87fb
    End of training over 4 years ago