Edit model card

INT8 Table Transformer

Post-training static quantization


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:

COCO metrics (AP) 0.9691 0.9706
Model size (MB) 56 111

Table structure recognition:

Model size (MB) 56 111
Downloads last month


Downloads are not tracked for this model. How to track
Unable to determine this model's library. Check the docs .

Dataset used to train Intel/table-transformer-int8-static-inc

Collection including Intel/table-transformer-int8-static-inc