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Group209
/
Sentiment_Analysis

Text Classification
Transformers
English
bert
sentiment
sentiment-analysis
Transformateurs
Model card Files Files and versions
xet
Community
1

Instructions to use Group209/Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Group209/Sentiment_Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Group209/Sentiment_Analysis")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Group209/Sentiment_Analysis", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment_Analysis
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 58 commits
MarieAngeA13's picture
MarieAngeA13
Update .gitattributes
65dd342 almost 3 years ago
  • .gitattributes
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  • README.md
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  • Sentiment_analysis_with_bert.py
    13.6 kB
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  • best_model_state.bin
    438 MB
    xet
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  • config.json
    398 Bytes
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  • requirements.txt
    115 Bytes
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