Intel/table-transformer-int8-static-inc

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. The INT8 ONNX models are quantized with Intel® Neural Compressor.

Refer to this link 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