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Pritesh-2711
/
piibench-deberta-base

Token Classification
Transformers
Safetensors
deberta-v2
pii-detection
named-entity-recognition
deberta
piibench
Model card Files Files and versions
xet
Community

Instructions to use Pritesh-2711/piibench-deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Pritesh-2711/piibench-deberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Pritesh-2711/piibench-deberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Pritesh-2711/piibench-deberta-base")
    model = AutoModelForTokenClassification.from_pretrained("Pritesh-2711/piibench-deberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
piibench-deberta-base
744 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
Pritesh-2711's picture
Pritesh-2711
Link arXiv paper to model card
76250e8 about 12 hours ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    2.04 kB
    Link arXiv paper to model card about 12 hours ago
  • config.json
    9.34 kB
    Upload PIIBench Direct DeBERTa fine-tuned model 1 day ago
  • label_mapping.json
    11.8 kB
    Upload PIIBench Direct DeBERTa fine-tuned model 1 day ago
  • model.safetensors
    736 MB
    xet
    Upload PIIBench Direct DeBERTa fine-tuned model 1 day ago
  • special_tokens_map.json
    971 Bytes
    Upload PIIBench Direct DeBERTa fine-tuned model 1 day ago
  • tokenizer.json
    8.33 MB
    Upload PIIBench Direct DeBERTa fine-tuned model 1 day ago
  • tokenizer_config.json
    1.35 kB
    Upload PIIBench Direct DeBERTa fine-tuned model 1 day ago