chinese-clip-vit-huge-patch14
OFA-Sys/chinese-clip-vit-huge-patch14
Zero-Shot Image Classificationtransformers
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,721
- Total downloadsCumulative all-time download counter reported by the source platform.
- 62.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
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- 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.
- 30
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #175 among tracked Zero-Shot Image Classification models.
- #19,015
- –this week
- Parameters
- —
- Last source update
- Dec 9, 2022
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot 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
chinese-clip-vit-huge-patch14 is a zero-shot image classification model published by OFA-Sys. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Nov 9, 2022
- Last updated
- Dec 9, 2022
- Library
- transformers
- License
- —
- Task
- Zero-Shot Image Classification
- Parameters
- —
- Spaces
- —
- Derivative models
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- Velocity 7D/day
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transformerspytorchchinese_clipzero-shot-image-classificationvisionarxiv:2211.01335endpoints_compatibleregion:us
Publisher
OFA-SysView publisher statistics →Similar models
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