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danielsaggau
/
scotus_experiments_more_steps_ac

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

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

  • Libraries
  • Transformers

    How to use danielsaggau/scotus_experiments_more_steps_ac with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="danielsaggau/scotus_experiments_more_steps_ac")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("danielsaggau/scotus_experiments_more_steps_ac")
    model = AutoModelForSequenceClassification.from_pretrained("danielsaggau/scotus_experiments_more_steps_ac")
  • Notebooks
  • Google Colab
  • Kaggle
scotus_experiments_more_steps_ac / runs
14 kB
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  • 1 contributor
History: 7 commits
danielsaggau's picture
danielsaggau
Training in progress, step 3500
597dc24 over 3 years ago
  • Nov12_16-59-30_b726531d479a
    Training in progress, step 3500 over 3 years ago