Intel
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table-transformer-int8-static-inc

table-transformer

table detection

table structure recognition

Intel® Neural Compressor

neural-compressor

PostTrainingStatic

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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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Inference API

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

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

Table Transformer

1 item • Updated Aug 23