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iPwnds
/
finsentiment-distilbert

Text Classification
Transformers
Safetensors
English
distilbert
finance
sentiment-analysis
financial-sentiment
financial-phrasebank
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use iPwnds/finsentiment-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use iPwnds/finsentiment-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="iPwnds/finsentiment-distilbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("iPwnds/finsentiment-distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("iPwnds/finsentiment-distilbert")
  • Notebooks
  • Google Colab
  • Kaggle
finsentiment-distilbert
Ctrl+K
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  • 1 contributor
History: 5 commits
iPwnds's picture
iPwnds
Update README.md
98fa140 verified 22 days ago
  • .gitattributes
    1.52 kB
    initial commit 22 days ago
  • README.md
    12.3 kB
    Update README.md 22 days ago
  • config.json
    821 Bytes
    Upload DistilBertForSequenceClassification 22 days ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification 22 days ago
  • tokenizer.json
    712 kB
    Upload tokenizer 22 days ago
  • tokenizer_config.json
    322 Bytes
    Upload tokenizer 22 days ago