Instructions to use yethdev/gliner2-pii-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use yethdev/gliner2-pii-onnx with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("yethdev/gliner2-pii-onnx") # 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
GLiNER2-PII ONNX
License & attribution
Apache-2.0 - All model weights are derived from fastino/gliner2-privacy-filter-PII-multi by Fastino Labs.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for yethdev/gliner2-pii-onnx
Base model
fastino/gliner2-privacy-filter-PII-multi