🧠 Model

table-transformer-detection

by microsoft

--- license: mit widget: - src: https://www.invoicesimple.com/wp-content/uploads/2018/06/Sample-Invoice-printable.png example_title: Invoice --- Table Transform

πŸ• Updated 12/19/2025

🧠 Architecture Explorer

Neural network architecture

1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer

About

Table Transformer (DETR) model trained on PubTables1M. It was introduced in the paper PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents by Smock et al. and first released in this repository. Disclaimer: The team releasing Table Transformer did not write a model card for this model so this model card has been written by ...

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • β€’ Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/microsoft/table-transformer-detection","fetched_at":"2025-12-19T07:41:01.184Z","adapter_version":"3.2.0"}]

πŸ“š Related Resources

πŸ“„ Related Papers

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πŸ“Š Training Datasets

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πŸ”— Related Models

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