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Jingya
/
finbert-tone

Text Classification
Transformers
bert
Model card Files Files and versions
xet
Community

Instructions to use Jingya/finbert-tone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jingya/finbert-tone with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jingya/finbert-tone")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jingya/finbert-tone")
    model = AutoModelForSequenceClassification.from_pretrained("Jingya/finbert-tone")
  • Notebooks
  • Google Colab
  • Kaggle
finbert-tone
408 MB
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  • 1 contributor
History: 3 commits
Jingya's picture
Jingya HF Staff
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  • README.md
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  • config.json
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  • model.neuron
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