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:
- 9ff776d334788ebe1ddfd4bdfe9b48195ffa200d10efd4f23b0fe8050fe93256
- Size of remote file:
- 191 MB
- SHA256:
- 72510eace9eb2763dfab84588c6f51dfc38f301d94421625c2084e322dfbba0a
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