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
| { | |
| "_attn_implementation_autoset": true, | |
| "counting_layer": "count_lstm", | |
| "max_width": 8, | |
| "model_name": "microsoft/mdeberta-v3-base", | |
| "model_type": "extractor", | |
| "token_pooling": "first", | |
| "transformers_version": "4.51.0" | |
| } | |