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MENG21
/
stud-fac-eval-NAIVEBAYES

Text Classification
Transformers
Model card Files Files and versions
xet
Community

Instructions to use MENG21/stud-fac-eval-NAIVEBAYES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MENG21/stud-fac-eval-NAIVEBAYES with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MENG21/stud-fac-eval-NAIVEBAYES")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MENG21/stud-fac-eval-NAIVEBAYES", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stud-fac-eval-NAIVEBAYES
299 kB
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  • 1 contributor
History: 13 commits
MENG21's picture
MENG21
Upload 3 files
768bab8 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • NB_sentiment_model.ipynb
    159 kB
    Upload folder using huggingface_hub about 2 years ago
  • README.md
    41 Bytes
    Create README.md about 2 years ago
  • config.json
    0 Bytes
    Update config.json about 2 years ago
  • label_encoder.pkl
    255 Bytes
    xet
    Upload 3 files about 2 years ago
  • model.pkl
    30.8 kB
    xet
    Upload 3 files about 2 years ago
  • vectorizer.pkl
    108 kB
    xet
    Upload 3 files about 2 years ago