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Shadman-Rohan
/
output_diff_approach

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

Instructions to use Shadman-Rohan/output_diff_approach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shadman-Rohan/output_diff_approach with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Shadman-Rohan/output_diff_approach")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/output_diff_approach")
    model = AutoModelForTokenClassification.from_pretrained("Shadman-Rohan/output_diff_approach")
  • Notebooks
  • Google Colab
  • Kaggle
output_diff_approach / runs
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  • 1 contributor
History: 2 commits
Shadman-Rohan's picture
Shadman-Rohan
Model save
8f74e27 about 3 years ago
  • Mar01_22-31-04_home-3090
    Model save about 3 years ago