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alt.freeweights.vision / table-transformer-structure-recognition
From: microsoft <huggingface.co/microsoft>Newsgroups: alt.freeweights.visionSubject:

table-transformer-structure-recognition

Date: 2026-11-14Commit: f4d4bdcSigned: 2DC28CC7B26A283B ✓

Object detection model with 29M parameters. Safetensors weights, 231 MB in all. Published by microsoft under MIT.

29M params231MBtable-transformer-structure-recognitionsafetensorspermissive
FactsParams29MSize231 MBFormatssafetensorsTaskobject detectionLicenseMITFrom sourcepermissive
$ fw get microsoft/table-transformer-structure-recognition
# manifest sha256 e2703731a2be… · 231 MB · 6 files
$ fw verify ./table-transformer-structure-recognition microsoft/table-transformer-structure-recognition
From sourceHosted (signed)microsoft/table-transformer-structure-recognitionLast check: 2026-11-14 21:23 UTC
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Runs withBentoMLCTranslate2ExLlamaV2LitServeLocalAItinygradTransformersTriton Inference ServerFine-tune withAccelerateDeepSpeedJAXKerasPyTorch Lightningsd-scriptsSimpleTunerConvert withCore ML ToolsExecuTorchOliveONNXOptimum QuantoOptimumsafetensorstorchaoScan withModelScanpicklescan
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
231 MB
Weights
115 MB (safetensors)
Parameters
29M
Formats
safetensors
Task
object detection
License
MIT (permissive)
Files
6, each with a sha256
Publisher
microsoft
Added
2026-11-14
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→You

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BadgeHostLast checkResult
From sourcehuggingface.co2026-11-14 21:23 UTCpassed

Model card

From the publisher at commit f4d4bdc. Shown as plain text with links; images open at the publisher.

Table Transformer (fine-tuned for Table Structure Recognition)#

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 the structure (like rows, columns) in tables. See the documentation for more info.

Files

6 files · 231 MBWeights 115 MB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 6 files with their sha256
FileSizesha256
.gitattributes1.44 KB20cb01c2bd9b0ae0863422f9da41b20f10f93e009e657f411a41402f51ccf391
README.md1.20 KB75ccc86265a2ca9f3e50adbbc07c0a7433c5bd380ead2ccc61c3c5c612c183c0
config.json1.47 KB9fa1108c9fbfac69086d23bdd26b9a2242a56a72766fed98c6dfaeaae59ebf76
model.safetensors115 MBf581da65a586591124cac9545b09b93e4e8bf28ce3a8357af6ac15ce94fce16b
preprocessor_config.json274 B4bd6700976c66662678a521e529b06dca36df041c9d411884cb92e81bc5a6818
pytorch_model.bin116 MBec887aff5bf24e943a1c090b477e1366b62b6d30c0d9be00759c18f16a688579
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
f4d4bdc85c pinned now manifest updated, same commit2026-11-14 21:23 UTC6 files · 231 MB
f4d4bdc85c2026-11-14 21:23 UTC6 files · 231 MB

Use it

$ fw get microsoft/table-transformer-structure-recognition
# manifest sha256 e2703731a2be… · 231 MB · 6 files
$ fw verify ./table-transformer-structure-recognition microsoft/table-transformer-structure-recognition
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/microsoft/table-transformer-structure-recognition.json --dir ./table-transformer-structure-recognition $ python3 fw.py verify ./table-transformer-structure-recognition ./microsoft__table-transformer-structure-recognition.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/table-transformer-structure-recognition --revision f4d4bdc85c3fe4b1fa49658882a5d38bbdd0f343 --local-dir ./table-transformer-structure-recognition
Run at home

License

Name
MIT License
Id
MIT
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
README.md
Text sha256
75ccc86265a2ca9f3e50adbbc07c0a7433c5bd380ead2ccc61c3c5c612c183c0
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: microsoft <huggingface.co/microsoft>Newsgroups: alt.freeweights.visionSubject: table-transformer-structure-recognitionDate: 2026-11-14Commit: f4d4bdcSigned: 2DC28CC7B26A283B ✓
Upstream
microsoft/table-transformer-structure-recognition
Pinned commit
f4d4bdc85c3fe4b1fa49658882a5d38bbdd0f343
Manifest
table-transformer-structure-recognition.json · .minisig
Manifest sha256
e2703731a2be073651ce98f9a785e59ddd88f5e0f6bef1e2af55fa085fdbb796
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:23 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/microsoft/table-transformer-structure-recognition.json $ curl -O https://freeweights.allternit.com/manifests/microsoft/table-transformer-structure-recognition.json.minisig $ minisign -Vm table-transformer-structure-recognition.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/table-transformer-structure-recognition
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. table-transformer-structure-recognition.json. Provenance. Takedown history: none.
Source
huggingface.co/microsoft/table-transformer-structure-recognition

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