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MatthewFrank
/
w266FinalProject

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

Instructions to use MatthewFrank/w266FinalProject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MatthewFrank/w266FinalProject with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MatthewFrank/w266FinalProject")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MatthewFrank/w266FinalProject")
    model = AutoModelForSequenceClassification.from_pretrained("MatthewFrank/w266FinalProject")
  • Notebooks
  • Google Colab
  • Kaggle
w266FinalProject
438 MB
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  • 1 contributor
History: 3 commits
MatthewFrank's picture
MatthewFrank
Upload tokenizer
773af70 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification over 1 year ago
  • config.json
    727 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer over 1 year ago