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grace-pro
/
flipped_1

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

Instructions to use grace-pro/flipped_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use grace-pro/flipped_1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="grace-pro/flipped_1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("grace-pro/flipped_1")
    model = AutoModelForTokenClassification.from_pretrained("grace-pro/flipped_1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
flipped_1 / runs
8.79 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
grace-pro's picture
grace-pro
Training complete
8e86d68 about 3 years ago
  • Jul26_17-43-13_399542b8cc02
    Training complete about 3 years ago