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libraos
/
veil-detect

Token Classification
Transformers
Safetensors
English
Chinese
xlm-roberta
pii
pii-detection
de-identification
anonymization
redaction
legal
ner
Model card Files Files and versions
xet
Community

Instructions to use libraos/veil-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use libraos/veil-detect with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="libraos/veil-detect")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("libraos/veil-detect")
    model = AutoModelForTokenClassification.from_pretrained("libraos/veil-detect", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
veil-detect / assets
265 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ccao's picture
ccao
Card: comparison charts, CPU figures, detect() keeps spans to one line (weights unchanged)
a293bea verified about 21 hours ago
  • blind-miss-rate.png
    121 kB
    xet
    Card: comparison charts, CPU figures, detect() keeps spans to one line (weights unchanged) about 21 hours ago
  • throughput-memory.png
    144 kB
    xet
    Card: comparison charts, CPU figures, detect() keeps spans to one line (weights unchanged) about 21 hours ago