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Hasanblanka
/
polygraf-ner-stage3-first-model

Token Classification
Transformers
Safetensors
English
distilbert
named-entity-recognition
ner
bio
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Hasanblanka/polygraf-ner-stage3-first-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hasanblanka/polygraf-ner-stage3-first-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Hasanblanka/polygraf-ner-stage3-first-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Hasanblanka/polygraf-ner-stage3-first-model")
    model = AutoModelForTokenClassification.from_pretrained("Hasanblanka/polygraf-ner-stage3-first-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
polygraf-ner-stage3-first-model / metrics
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  • 1 contributor
History: 1 commit
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Hasanblanka
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  • inference_benchmark.json
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  • manual_wild_test_metrics.json
    2.67 kB
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  • test_error_breakdown.json
    1.32 kB
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  • test_metrics.json
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  • train_metrics.json
    1.92 kB
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