barflyman/gbert-legal-ner-onnx-q4

By barflyman · ↓ 0 · ♥ 0 · Updated 2025-08-31

What's in this repo

This page lists the files in barflyman/gbert-legal-ner-onnx-q4, including model.onnx, model_quantized.onnx.

2 ONNX models (.onnx files)
9 files, including 5 .json, 2 .onnx, 1 .md
Last updated 2025-08-31

ONNX files

File	Size	Download
model.onnx	—	Download
onnx/model_quantized.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

Model Card: PaDaS-Lab/gbert-legal-ner ONNX Conversion quantized in 4-Bit

Model: PaDaS-Lab/gbert-legal-ner Task: Named Entity Recognition (NER) on German legal texts. Architecture: gBERT-based Transformer. Key Entities: PER (Persons), ORG (Organizations), GRT (Courts), GS (Laws), ST (Cities), STR (Streets).

This model is based on the following work. If you use this model in your own research or application, please cite the authors.

@conference{icaart23, author={Harshil Darji. and Jelena Mitrović. and Michael Granitzer.}, title={German BERT Model for Legal Named Entity Recognition}, booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,}, year={2023}, pages={723-728}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0011749400003393}, isbn={978-989-758-623-1}, issn={2184-433X}, }

Model info

onnx bert license:apache-2.0 region:us

↓ 0 ♥ 0

Created: 2025-08-29

Updated: 2025-08-31

View on Hugging Face

Files (9)

.gitattributes

README.md

config.json

model.onnx ONNX

onnx/model_quantized.onnx ONNX

ort_config.json

special_tokens_map.json

tokenizer.json

tokenizer_config.json

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