microsoft / object-detection updated 2 years ago

table-transformer-structure-recognition

Name: table-transformer-structure-recognition
Author: microsoft

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.

Params

30 M

Context

1,024

Downloads 30d

1.5 M

Likes

226

Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.6 M1.5 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.1 GB	0.6 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: TableTransformerForObjectDetection
Parameters: 30 M
Tensor type: F32
Context length: 1,024
Licence: mit
First seen on the Hub: 2022-10-14
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

table-transformer-detection 1.2 M PP-DocLayoutV3_safetensors 822 K yolos-small 746 K detr-resnet-50 544 K rtdetr_v2_r18vd 295 K table-transformer-structure-recognition-v1.1-all 240 K

Appears in

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