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Sigma
/
financial-sentiment-analysis

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use Sigma/financial-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sigma/financial-sentiment-analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sigma/financial-sentiment-analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sigma/financial-sentiment-analysis")
    model = AutoModelForSequenceClassification.from_pretrained("Sigma/financial-sentiment-analysis")
  • Notebooks
  • Google Colab
  • Kaggle
financial-sentiment-analysis / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Sigma's picture
Sigma
End of training
08bb46c about 4 years ago
  • May14_08-41-28_2a59d5e087ff
    Training in progress, epoch 1 about 4 years ago
  • May14_08-57-30_2a59d5e087ff
    End of training about 4 years ago
  • May14_11-19-47_60ca0105a1b5
    End of training about 4 years ago