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
Commit History
7 days ago
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Card: names upstream card kept in names/; 841-dev selection over 304 points
The upstream FastPDN NER — Polish PII repo is no longer publicly available, so its model card at revision 636c57fe is kept unchanged as names/UPSTREAM_README.md (sha256 as in names/NOTICE.md). The 841-dev section says the model, epoch and threshold were chosen on the same passages (171 + 133 epoch/threshold points), so its scores are development scores. Same weights, rules and API as 2.0.9. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>53cf067
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2.0.0
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>be6377b
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2.0.0: opt-in FastPDN person names (names/, CC-BY-4.0)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>dc40291