Token Classification
GLiNER
ONNX
German
English
extractor
ner
zero-shot
pii-detection
privacy
multilingual
quantized
edge
Instructions to use patronus-studio/gliner2-multi-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use patronus-studio/gliner2-multi-edge with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("patronus-studio/gliner2-multi-edge") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f508ac7d16014186445f2574a5634c4cdbe72aa58b5299a30319ee9f820da30f
- Size of remote file:
- 228 MB
- SHA256:
- 180d74159f27c2d583fca952a309d3b906afab5e3015968217a21572eaf068a1
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