Token Classification
GLiNER2
Safetensors
extractor
pii
ner
privacy
redaction
safety
moderation
guardrails
information-extraction
span-extraction
text-classification
multi-label-classification
jailbreak-detection
toxicity-classification
Instructions to use fastino/GLiNER2-Guardrails-PII-Multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use fastino/GLiNER2-Guardrails-PII-Multi with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("fastino/GLiNER2-Guardrails-PII-Multi") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
update link to fastino.ai
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by thaooonguyennn - opened
README.md
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<a href="https://arxiv.org/abs/2605.07982" target="_blank" rel="noreferrer" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/arXiv-GLiGuard-b31b1b.svg?logo=arxiv" alt="GLiGuard Paper" style="vertical-align:middle;">
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<a href="https://arxiv.org/abs/2605.07982" target="_blank" rel="noreferrer" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/arXiv-GLiGuard-b31b1b.svg?logo=arxiv" alt="GLiGuard Paper" style="vertical-align:middle;">
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<a href="https://fastino.ai?utm_source=huggingface" target="_blank" rel="noreferrer" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/Deploy-GLiGuard%20PII-FF7345" alt="Deploy with Pioneer" style="vertical-align:middle;">
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<a href="https://x.com/fastinoAI" target="_blank" rel="noreferrer" style="text-decoration:none;">
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