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welcomyou/
gmft-tatr-onnx

onnxruntime

onnx

table-detection

table-structure-recognition

microsoft/table-transformer-detection

quantized

mit

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Microsoft Table Transformer (TATR) — ONNX re-export

Re-export of Microsoft's Table Transformer to ONNX, packaged the way GMFT consumes it. Used by ScanIndex for table detection + structure recognition during DOCX export.

Variants

Subdir	Upstream	Task
`gmft_onnx/detection/model.onnx`	`microsoft/table-transformer-detection`	Detect table bounding boxes on a page
`gmft_onnx/structure/model.onnx`	`microsoft/table-transformer-structure-recognition-v1.1-all`	Detect rows / columns / cells inside a cropped table

Each subdir also contains the HF config.json + preprocessor metadata so transformers / optimum can wrap the ONNX directly.

Loading

python

from huggingface_hub import snapshot_download
local = snapshot_download("welcomyou/gmft-tatr-onnx", local_dir="models")
# Detection:  f"{local}/gmft_onnx/detection/model.onnx"
# Structure:  f"{local}/gmft_onnx/structure/model.onnx"

Re-export reproduction

See train-convert/gmft/convert/export_gmft_tatr_to_onnx.py.

License

MIT, inherited from Microsoft Table Transformer.