microsoft / object-detection updated 2 years ago

table-transformer-structure-recognition-v1.1-all

Name: table-transformer-structure-recognition-v1.1-all
Author: microsoft

Table Transformer (TATR) model trained on PubTables1M and FinTabNet.c. It was introduced in the paper Aligning benchmark datasets for table structure recognition by Smock et al. and first released in this repository.

Params

30 M

Context

—

Downloads 30d

240 K

Likes

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

Download history

daily snapshots · 10 days

259 K240 K

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
Licence: mit
First seen on the Hub: 2023-11-18
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

table-transformer-structure-recognition 1.5 M 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

Appears in

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