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nmcahill
/
TJ-classifier

Text Classification
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

Instructions to use nmcahill/TJ-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nmcahill/TJ-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nmcahill/TJ-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nmcahill/TJ-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("nmcahill/TJ-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
TJ-classifier
268 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
nmcahill's picture
nmcahill
add model
ce051bb almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    615 Bytes
    add model almost 4 years ago
  • pytorch_model.bin
    268 MB
    xet
    add model almost 4 years ago