vit-gpt2-image-captioning
Xenova/vit-gpt2-image-captioning
Image to Texttransformers.js
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 11.2K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 103.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +4,075(increase)
- 4.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 30
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #61 among tracked Image to Text models.
- #7,792
- 59(up 59 places)this week
- Parameters
- —
- Last source update
- Oct 8, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 65.7
- vit-gpt2-image-captioning gained 4,075 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
vit-gpt2-image-captioning is a image to text model published by Xenova. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 24h ago.
- Published
- May 2, 2023
- Last updated
- Oct 8, 2024
- Library
- transformers.js
- License
- —
- Task
- Image to Text
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 582
transformers.jsonnxvision-encoder-decoderimage-text-to-textimage-captioningimage-to-textbase_model:nlpconnect/vit-gpt2-image-captioningbase_model:quantized:nlpconnect/vit-gpt2-image-captioningregion:us
Publisher
XenovaView publisher statistics →Derived from nlpconnect/vit-gpt2-image-captioning (reported by the source; parent not yet tracked).
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