Token Classification
Transformers
Safetensors
English
openai_privacy_filter
pii
ner
privacy
redaction
nemotron
privacy-filter
openmed
Instructions to use OpenMed/privacy-filter-nemotron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/privacy-filter-nemotron with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/privacy-filter-nemotron")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/privacy-filter-nemotron") model = AutoModelForTokenClassification.from_pretrained("OpenMed/privacy-filter-nemotron", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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docs: refresh README — openmed examples, credits, public release
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Update README: rename to privacy-filter-nemotron, add OpenMed citation
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Initial upload: privacy-filter fine-tuned for 55 Nemotron-PII labels
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initial commit
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