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---
library_name: transformers
pipeline_tag: token-classification
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
language:
- vi
tags:
- layoutlmv3
- kie
- key-information-extraction
- document-understanding
- vietnamese
- onnx
- int8
---
# LayoutLMv3 — Vietnamese administrative document KIE
Fine-tuned [`microsoft/layoutlmv3-base`](https://huggingface.co/microsoft/layoutlmv3-base) for key-information extraction on Vietnamese administrative documents (Quyết định, Công văn, Tờ trình, Báo cáo, ...).
The variant is the **fontgray-norm** flavour: `token_type_ids` encode three style buckets derived from per-word font size, foreground gray level, and word height (see `style_emphasis_ids` in the training pipeline).
## Files
- `layoutlmv3_fontgray_norm_final_epoch25/layoutlmv3_fontgray_norm_final_epoch25.int8.onnx` — quantized INT8 ONNX model
- `layoutlmv3_fontgray_norm_final_epoch25/label_list.json` — label vocabulary (BIO tags)
- `layoutlmv3_fontgray_norm_final_epoch25/layoutlmv3_fontgray_config.json` — runtime config (style buckets, line position buckets)
- Tokenizer files (`tokenizer.json`, `tokenizer_config.json`, `special_tokens_map.json`, `vocab.txt`, …)
## Intended use
This model is designed for the [ScanIndex](https://github.com/welcomyou/scanindex) pipeline. It expects the canonical OCR JSON profile produced by ScreenAI + the project's preprocessing (`layoutlmv3_runtime_v1`). Using it standalone requires reproducing that input format.
## Loading
```python
from huggingface_hub import snapshot_download
local = snapshot_download("welcomyou/layoutlmv3-vn-admin-kie", local_dir="models")
# Then point ScanIndex at <repo>/models/layoutlmv3_fontgray_norm_final_epoch25/
```
## Training & data
See [train-convert/kie/train_kie/layoutlmv3_fontgray_norm/](https://github.com/welcomyou/scanindex/tree/main/train-convert/kie/train_kie/layoutlmv3_fontgray_norm) for the training scripts and decision records.
Trained on internal annotated Vietnamese admin documents (not redistributed).
## License
Inherits LayoutLMv3 base license: **CC-BY-NC-SA-4.0** (research / non-commercial). Commercial use requires a separate agreement with Microsoft for the base model.