vietnamese-prompt-injection
dangvansam/vietnamese-prompt-injection
Tracked by OpenModelStats since September 6, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 67
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,044
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +18(increase)
- 1.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #966 among tracked Text Classification models.
- #38,125
- 168(down 168 places)this week
- Parameters
- 184M
- Last source update
- Aug 17, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 13.7
- vietnamese-prompt-injection gained 18 downloads during the last seven tracked days.
- It moved from #963 to #966 among tracked Text Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
vietnamese-prompt-injection is a text classification model published by dangvansam. OpenModelStats has tracked the model since Sep 6, 2026, most recently observing it Oct 5, 2026.
- Published
- Aug 13, 2026
- Last updated
- Aug 17, 2026
- Library
- —
- License
- mit
- Task
- Text Classification
- Parameters
- 184,423,682
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 3
safetensorsdeberta-v2text-classificationprompt-injectionvietnameseguardrailvienbase_model:protectai/deberta-v3-base-prompt-injection-v2base_model:finetune:protectai/deberta-v3-base-prompt-injection-v2license:mitregion:us
Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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