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SlayerLab
/
NERGAL

Token Classification
Transformers
Safetensors
Polish
xlm-roberta
polish
pii
ner
hybrid
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use SlayerLab/NERGAL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="SlayerLab/NERGAL")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SlayerLab/NERGAL")
    model = AutoModelForTokenClassification.from_pretrained("SlayerLab/NERGAL", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NERGAL / names
499 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
ppuzio's picture
ppuzio
Claude Opus 5.5
2.0.0
be6377b 3 days ago
  • NOTICE.md
    2.11 kB
    2.0.0 3 days ago
  • config.json
    1.38 kB
    2.0.0: opt-in FastPDN person names (names/, CC-BY-4.0) 4 days ago
  • convert.py
    4.48 kB
    2.0.0 3 days ago
  • model.safetensors
    495 MB
    xet
    2.0.0: opt-in FastPDN person names (names/, CC-BY-4.0) 4 days ago
  • tokenizer.json
    3.69 MB
    xet
    2.0.0: opt-in FastPDN person names (names/, CC-BY-4.0) 4 days ago