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:
- 3e28038a65680eee478c81eca5ec870a39eefc3a624767dd719b7e13908d1f7b
- Size of remote file:
- 1.2 MB
- SHA256:
- 71e817694065379778d605677bd85d5cff5eb262263c697d5899095a518deffb
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