ONNX Model Zoo

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 Face

Files (5)

.gitattributes
README.md
table_cls.onnx ONNX
wired_table_cell_det.onnx ONNX
wireless_table_cell_det.onnx ONNX

Related models