Instructions to use Surpem/Sarden1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Surpem/Sarden1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Surpem/Sarden1")# Load model directly from transformers import Sarden1 model = Sarden1.from_pretrained("Surpem/Sarden1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- safetensors
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# Sarden1
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## Model Description
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Sarden1
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personally identifiable information (PII) detection and redaction. It identifies and
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labels sensitive entity spans in text across 15 locales, making it suitable for
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GDPR/HIPAA compliance pipelines, log scrubbing, and document redaction at production scale.
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## Entity Types
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Sarden1
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| Category | Entity Types |
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- safetensors
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# Sarden1: Multilingual PII Detection & Redaction Model
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## Model Description
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Sarden1 is a high-performance token classification model built from scratch for
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personally identifiable information (PII) detection and redaction. It identifies and
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labels sensitive entity spans in text across 15 locales, making it suitable for
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GDPR/HIPAA compliance pipelines, log scrubbing, and document redaction at production scale.
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## Entity Types
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Sarden1 detects 12 PII entity types using BIO span labelling:
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| Category | Entity Types |
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