---
license: mit
tags:
- table-transformer
- table detection
- table structure recognition
- int8
- Intel® Neural Compressor
- neural-compressor
- PostTrainingStatic
- onnx
datasets:
- bsmock/pubtables-1m
---
# INT8 Table Transformer

##  Post-training static quantization

### ONNX

This repo contains the models for:

1) Table detection,
2) Table structure recognition,

The original FP32 PyTorch model comes from [bsmock/tatr-pubtables1m-v1.0](https://huggingface.co/bsmock/tatr-pubtables1m-v1.0). The INT8 ONNX models are quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 

Refer to this [link](https://github.com/intel/neural-compressor/tree/master/examples/onnxrt/object_detection/table_transformer/quantization/ptq_static) for model preparation, quantization and benchmark scripts.

#### Test result

Table detection:

|   |INT8|FP32|
|---|:---:|:---:|
| **COCO metrics (AP)** |0.9691|0.9706|
| **Model size (MB)**  |56|111|

Table structure recognition：
|   |INT8|FP32|
|---|:---:|:---:|
| **Model size (MB)**  |56|111|