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arthrod
/
attempt_vanilla

Token Classification
GLiNER
English
ner
pii
token-level
deberta-v3
mi300x
rocm
experiment-log
Model card Files Files and versions
xet
Community

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

  • Libraries
  • GLiNER

    How to use arthrod/attempt_vanilla with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("arthrod/attempt_vanilla")
    
    text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal."
    labels = ["person", "date", "location"]
    
    entities = model.predict_entities(text, labels)
    for entity in entities:
        print(entity["text"], "=>", entity["label"])
  • Notebooks
  • Google Colab
  • Kaggle
attempt_vanilla / bench
26.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
arthrod's picture
arthrod
attempt_vanilla: cleaned experiment log (GLiNER PII fine-tuning, Feb 2026)
24197e0 about 14 hours ago
  • bench_gliner_e2e.py
    12.9 kB
    attempt_vanilla: cleaned experiment log (GLiNER PII fine-tuning, Feb 2026) about 14 hours ago
  • bench_infer_packing.py
    14 kB
    attempt_vanilla: cleaned experiment log (GLiNER PII fine-tuning, Feb 2026) about 14 hours ago