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
tags: curated discovery keywords (remove competitor names, dedupe, add search terms)
Browse files
README.md
CHANGED
|
@@ -7,9 +7,15 @@ tags:
|
|
| 7 |
- gliner
|
| 8 |
- ner
|
| 9 |
- zero-shot
|
|
|
|
|
|
|
|
|
|
| 10 |
- onnx
|
| 11 |
- quantized
|
| 12 |
- edge
|
|
|
|
|
|
|
|
|
|
| 13 |
---
|
| 14 |
|
| 15 |
# GLiNER2 multi — Edge (ONNX/ORT, quantized)
|
|
|
|
| 7 |
- gliner
|
| 8 |
- ner
|
| 9 |
- zero-shot
|
| 10 |
+
- pii-detection
|
| 11 |
+
- privacy
|
| 12 |
+
- multilingual
|
| 13 |
- onnx
|
| 14 |
- quantized
|
| 15 |
- edge
|
| 16 |
+
language:
|
| 17 |
+
- de
|
| 18 |
+
- en
|
| 19 |
---
|
| 20 |
|
| 21 |
# GLiNER2 multi — Edge (ONNX/ORT, quantized)
|