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 AutoExtractor extractor = AutoExtractor.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
Commit History
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Point the fine-tune banner to agent.fastino.ai
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Update the Fastino GLiNER skill
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- Update Fastino hosted workflow links (7604d0e000406cd4a1c279bc8396a893f215781a) Co-authored-by: Jaanavi Thanamala <jaanavi@users.noreply.huggingface.co>6dadac6 -
Update the Fastino GLiNER skill
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Mention hosted fine-tuning via the Fastino API (#8)
- Mention hosted fine-tuning via the Fastino API (4992d6a2462af79fd0e6eec0a9e171e8027d2408) Co-authored-by: javier fernandez rico <javi-fastino@users.noreply.huggingface.co>5f072b1 -
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Add the Fastino GLiNER skill
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upload banner (#6)
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- add banner (c67193e66bade710f974916902fe82634327e50d) Co-authored-by: Thao Nguyen <thaooonguyennn@users.noreply.huggingface.co>ec9c92b
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update link to fastino.ai (#4)
- update link to fastino.ai (6b312aab78066ef50e2c6888cac694b3ba0b13d0) Co-authored-by: Thao Nguyen <thaooonguyennn@users.noreply.huggingface.co>9fb5772
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initial commit
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