Table Transformer
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INT8 Table Transformer
Post-training static quantization
ONNX
This repo contains the models for:
- Table detection,
- 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 |
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