tiny-random-Florence2ForConditionalGeneration
Xenova/tiny-random-Florence2ForConditionalGeneration
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 949
- Total downloadsCumulative all-time download counter reported by the source platform.
- 13.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 6
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2579 among tracked Image Text to Text models.
- #25,486
- –this week
- Parameters
- 3.5M
- Last source update
- Jul 1, 2024
Downloads over time
Rolling recent-window downloads as reportedNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
tiny-random-Florence2ForConditionalGeneration is a image text to text model published by Xenova. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 5h ago.
- Published
- Jun 20, 2024
- Last updated
- Jul 1, 2024
- Library
- transformers
- License
- —
- Task
- Image Text to Text
- Parameters
- 3,549,945
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformersonnxsafetensorsflorence2image-text-to-textvisiontransformers.jstext-generationtext2text-generationimage-to-textcustom_codearxiv:1910.09700
Publisher
XenovaView publisher statistics →Similar models
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