jspast/paddlepaddle-table-models-onnx
By jspast · ↓ 0 · ♥ 0 · Updated 2026-03-08
What's in this repo
This page lists the files in jspast/paddlepaddle-table-models-onnx, including table_cls.onnx, wired_table_cell_det.onnx, wireless_table_cell_det.onnx.
- 3 ONNX models (.onnx files)
- 5 files, including 3 .onnx, 1 .md
- Last updated 2026-03-08
ONNX files
| File | Size | Download |
|---|---|---|
| table_cls.onnx | — | Download |
| wired_table_cell_det.onnx | — | Download |
| wireless_table_cell_det.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
ONNX weights for PaddlePaddle table models
Models
table_cls.onnx: Classifies table images into wired and wireless tables (original model)wired_table_cell_det.onnx: Detects cells from wired table images (original model)wireless_table_cell_det.onnx: Detects cells from wireless table images (original model)
Usage
With cells2table, a docling plugin is provided to allow integrating these models in a complete pipeline.
Install with uv:
uv pip install cells2table
Example:
from cells2table.docling import CustomDoclingTableStructureOptions
pipeline_options = PdfPipelineOptions(
allow_external_plugins=True,
table_structure_options=CustomDoclingTableStructureOptions(),
)
converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options),
InputFormat.IMAGE: PdfFormatOption(pipeline_options=pipeline_options),
}
)
result = converter.convert("path/to/document.pdf")
print(result.document.export_to_markdown())
Model info
onnx
object-detection
base_model:PaddlePaddle/PP-LCNet_x1_0_table_cls
base_model:quantized:PaddlePaddle/PP-LCNet_x1_0_table_cls
license:apache-2.0
region:us
↓ 0
♥ 0
Created: 2025-12-10
Updated: 2026-03-08
View on Hugging FaceFiles (5)
.gitattributes
README.md
table_cls.onnx
ONNX
wired_table_cell_det.onnx
ONNX
wireless_table_cell_det.onnx
ONNX
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