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everyl12
/
stance_class_l

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use everyl12/stance_class_l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use everyl12/stance_class_l with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="everyl12/stance_class_l")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("everyl12/stance_class_l")
    model = AutoModelForSequenceClassification.from_pretrained("everyl12/stance_class_l")
  • Notebooks
  • Google Colab
  • Kaggle
stance_class_l / runs
54.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
everyl12's picture
everyl12
Model save
00e28ee about 3 years ago
  • May17_00-31-27_rtx3090-aurora-r13
    Model save about 3 years ago