Codesota · Models · Table Transformer (TATR)0 results · 0 benchmarks
Model card

Table Transformer (TATR).

Chart and Table UnderstandingChart/Table UnderstandingMIT

Detects table structure; pair with OCR for content.

§ 01 · Card

Model card,
inline.

Rendered server-side from the upstream README on Hugging Face — same content as the source repo, with editorial typography. The full card, sample weights, and revision history live on HF.

Source
microsoft/table-transformer-detection
License
mit

Table Transformer (fine-tuned for Table Detection)

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 the Hugging Face team.

Model description

The Table Transformer is equivalent to DETR, a Transformer-based object detection model. Note that the authors decided to use the "normalize before" setting of DETR, which means that layernorm is applied before self- and cross-attention.

Usage

You can use the raw model for detecting tables in documents. See the documentation for more info.

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§ 02 · Benchmarks

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