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ninja
/
results

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ninja/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ninja/results")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ninja/results")
    model = AutoModelForTokenClassification.from_pretrained("ninja/results")
  • Notebooks
  • Google Colab
  • Kaggle
results
437 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
ninja's picture
ninja
./fine_tuned_model
7311bff verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.41 kB
    ./fine_tuned_model 4 months ago
  • config.json
    855 Bytes
    ./fine_tuned_model 4 months ago
  • model.safetensors
    436 MB
    xet
    ./fine_tuned_model 4 months ago
  • special_tokens_map.json
    125 Bytes
    ./fine_tuned_model 4 months ago
  • tokenizer.json
    711 kB
    ./fine_tuned_model 4 months ago
  • tokenizer_config.json
    1.22 kB
    ./fine_tuned_model 4 months ago
  • training_args.bin
    5.78 kB
    xet
    ./fine_tuned_model 4 months ago
  • vocab.txt
    232 kB
    ./fine_tuned_model 4 months ago