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:
- 2ecc141aca7d7a5df230ecade2d1087f778d5f8939c6f2337656bda9b23b7b2e
- Size of remote file:
- 1.2 MB
- SHA256:
- d73290acb7de470271c232dcbced84b7ff4071ceae88887c88216aa52b3825c1
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