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Open-weight model · Image to text

barbados-handwriting-review-weights

by Wang Anubisyy/barbados-handwriting-review-weights

barbados-handwriting-review-weights is an open-weight model for image to text from Wang. Its published files total 58.0 GB.

This repository supplies trained model artifacts for the reviewed historical handwriting recognition solution. The code package is delivered separately to the organizers. It contains no competition images, label tables, OCR predictions or submission CSVs.

Parameters—
Context—
Weights58.0 GB
License—
AccessOpen weights
Monthly Downloads—

Model Card

This repository supplies trained model artifacts for the reviewed historical handwriting recognition solution. The code package is delivered separately to the organizers. It contains no competition images, label tables, OCR predictions or submission CSVs. Reported public score: 0.927525446. WER Weighted: 1.306287832. CER Weighted: 1.985048359. Private score: not supplied. manifest.json maps every checkpoint and fitted selector to a SHA256-addressed file under weights/. Identical files share one stored object. Restore each targetpath beneath the configured trained-model directory and link it into the runtime workspace. The organizer code package pins a completed commit. Public pretrained…

Excerpt from the card by Wang.

Identity and Version

Repository
Anubisyy/barbados-handwriting-review-weights
Publisher
Wang
Task
Image to text
Modality
Image and text
Library
transformers
Parameters
Not stated by the source
Languages
ocr
Revision
55e8bd8ef39de153ded2047abf9397564cf46bcd
First published
2026-10-07
Last updated
2026-10-08

Files and Weights

217 files, 58.0 GB in total. The weights are 50 files totalling 58.0 GB in safetensors.

Weights50 files · 58.0 GB
Configuration29 files · 206.0 KB
Tokenizer9 files · 56.2 MB
Documentation1 file · 1.5 KB
Other127 files · 7.4 MB
Repository1 file · 1.9 KB
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License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
58.0 GB
Download from Wang

Released by Wang through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published58.0 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

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