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danielsaggau
/
scotus_experiments

Text Classification
Transformers
PyTorch
TensorBoard
longformer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use danielsaggau/scotus_experiments with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="danielsaggau/scotus_experiments")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("danielsaggau/scotus_experiments")
    model = AutoModelForSequenceClassification.from_pretrained("danielsaggau/scotus_experiments")
  • Notebooks
  • Google Colab
  • Kaggle
scotus_experiments / runs
35.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
danielsaggau's picture
danielsaggau
Training in progress, step 3000
e97f702 over 3 years ago
  • Nov12_11-55-22_071bd5f2eeb9
    Training in progress, step 500 over 3 years ago
  • Nov12_11-55-53_071bd5f2eeb9
    Training in progress, step 500 over 3 years ago
  • Nov12_12-01-07_071bd5f2eeb9
    Training in progress, step 3000 over 3 years ago