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

table-transformer-detection

Date: 2026-11-14Commit: 2357cbeSigned: 2DC28CC7B26A283B ✓

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

29M params231MBtable-transformer-detectionsafetensorspermissive
FactsParams29MSize231 MBFormatssafetensorsTaskobject detectionLicenseMITFrom sourcepermissive
$ fw get microsoft/table-transformer-detection
# manifest sha256 4a47fdfd668b… · 231 MB · 6 files
$ fw verify ./table-transformer-detection microsoft/table-transformer-detection
From sourceHosted (signed)microsoft/table-transformer-detectionLast 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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Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-14 21:23 UTCpassed

Model card

From the publisher at commit 2357cbe. Shown as plain text with links; images open at the publisher.

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.

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.md1.17 KBc91e7f8199313c4d24b09e73a2f6df3141268666969346cb7b94ccb59900f5dd
config.json1.23 KBed5b93df2c3a59d473ddea853553a6d545d52bd4e9f8f72bf40b8a974aba4c1d
model.safetensors115 MB8f1aa73170102c038d40155e2734b343bf07e0fe12594228a8590943b01dccf7
preprocessor_config.json273 B86a8837ae440456b0a9aef788b064921df29c20f0b67040954ce5c2fbd352c4f
pytorch_model.bin115 MB1d9babb11711211dd9fea2f477b7ba11f3656623505b07f9e30bfd41f143a9c7
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
2357cbe2b5 pinned now manifest updated, same commit2026-11-14 21:23 UTC6 files · 231 MB
2357cbe2b52026-11-14 21:23 UTC6 files · 231 MB

Use it

$ fw get microsoft/table-transformer-detection
# manifest sha256 4a47fdfd668b… · 231 MB · 6 files
$ fw verify ./table-transformer-detection microsoft/table-transformer-detection
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-detection.json --dir ./table-transformer-detection $ python3 fw.py verify ./table-transformer-detection ./microsoft__table-transformer-detection.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/table-transformer-detection --revision 2357cbe2b5a5d1c03e54f32764f06058933b65ab --local-dir ./table-transformer-detection
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
c91e7f8199313c4d24b09e73a2f6df3141268666969346cb7b94ccb59900f5dd
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-detectionDate: 2026-11-14Commit: 2357cbeSigned: 2DC28CC7B26A283B ✓
Upstream
microsoft/table-transformer-detection
Pinned commit
2357cbe2b5a5d1c03e54f32764f06058933b65ab
Manifest
table-transformer-detection.json · .minisig
Manifest sha256
4a47fdfd668ba353a393f28209f0c07b864ccb61322d5e3a993ed26a7b6700d1
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-detection.json $ curl -O https://freeweights.allternit.com/manifests/microsoft/table-transformer-detection.json.minisig $ minisign -Vm table-transformer-detection.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

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Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/table-transformer-detection
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-detection.json. Provenance. Takedown history: none.
Source
huggingface.co/microsoft/table-transformer-detection

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