ONNX
GLiNER
GLiNER2
German
gliner2-onnx
ner
named-entity-recognition
fahrzeugschein
vehicle-registration
Instructions to use morilinger/gliner-fahrzeugschein-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use morilinger/gliner-fahrzeugschein-onnx with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("morilinger/gliner-fahrzeugschein-onnx") - GLiNER2
How to use morilinger/gliner-fahrzeugschein-onnx with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("morilinger/gliner-fahrzeugschein-onnx") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
gliner-fahrzeugschein-onnx
Fine-tuned GLiNER2 ONNX export (fp16) for German vehicle registration documents (Fahrzeugschein).
- Base model: fastino/gliner2-multi-v1
- Labels:
vin,brand,model,first_registration_date,power_kw,displacement_ccm,weight_kg,color,vehicle_category - Precision: fp16 (recommended for browser/PWA)
- Downloads last month
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Model tree for morilinger/gliner-fahrzeugschein-onnx
Base model
fastino/gliner2-multi-v1