Token Classification
GLiNER2
Safetensors
extractor
pii
ner
privacy
redaction
information-extraction
span-extraction
Instructions to use fastino/gliner2-privacy-filter-PII-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use fastino/gliner2-privacy-filter-PII-multi with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("fastino/gliner2-privacy-filter-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
Point Finetune PII badge to Fastino Agent
#7
by jaanavi - opened
Updates only the Finetune GLiNER2 PII badge destination from fastino.ai to agent.fastino.ai.
urchade changed pull request status to merged