donut-base-finetuned-docvqa
Xenova/donut-base-finetuned-docvqa
Document Question Answeringtransformers.js
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 765
- Total downloadsCumulative all-time download counter reported by the source platform.
- 6,022
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +242(increase)
- 4.5%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 19
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #5 among tracked Document Question Answering models.
- #36,393
- 156(up 156 places)this week
- Parameters
- —
- Last source update
- Apr 25, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 47.7
- donut-base-finetuned-docvqa gained 242 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
donut-base-finetuned-docvqa is a document question answering model published by Xenova. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 5, 2026.
- Published
- Sep 5, 2023
- Last updated
- Apr 25, 2025
- Library
- transformers.js
- License
- —
- Task
- Document Question Answering
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 35
transformers.jsonnxvision-encoder-decoderimage-text-to-textdonutimage-to-textvisiondonut-swindocument-question-answeringbase_model:naver-clova-ix/donut-base-finetuned-docvqabase_model:quantized:naver-clova-ix/donut-base-finetuned-docvqaregion:us
Publisher
XenovaView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
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