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
| { | |
| "[C]": 250105, | |
| "[DESCRIPTION]": 250111, | |
| "[EXAMPLE]": 250109, | |
| "[E]": 250106, | |
| "[L]": 250108, | |
| "[MASK]": 250101, | |
| "[OUTPUT]": 250110, | |
| "[P]": 250104, | |
| "[R]": 250107, | |
| "[SEP_STRUCT]": 250102, | |
| "[SEP_TEXT]": 250103 | |
| } | |