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KpRT
/
task-t3

Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use KpRT/task-t3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KpRT/task-t3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="KpRT/task-t3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("KpRT/task-t3")
    model = AutoModelForTokenClassification.from_pretrained("KpRT/task-t3")
  • Notebooks
  • Google Colab
  • Kaggle
task-t3
437 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
KpRT's picture
KpRT
task-t3
211f974 verified almost 2 years ago
  • runs
    task-t3 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.01 kB
    task-t3 almost 2 years ago
  • config.json
    1.2 kB
    task-t3 almost 2 years ago
  • model.safetensors
    436 MB
    xet
    task-t3 almost 2 years ago
  • special_tokens_map.json
    695 Bytes
    task-t3 almost 2 years ago
  • tokenizer.json
    711 kB
    task-t3 almost 2 years ago
  • tokenizer_config.json
    1.3 kB
    task-t3 almost 2 years ago
  • training_args.bin
    5.11 kB
    xet
    task-t3 almost 2 years ago
  • vocab.txt
    232 kB
    task-t3 almost 2 years ago