deberta-large-formality-ranker
s-nlp/deberta-large-formality-ranker
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 37
- Total downloadsCumulative all-time download counter reported by the source platform.
- 119.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +3(increase)
- 0% vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1618 among tracked Text Classification models.
- #54,203
- 492(down 492 places)this week
- Parameters
- 406M
- Last source update
- Oct 14, 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.
- 11.4
- deberta-large-formality-ranker gained 3 downloads during the last seven tracked days.
- It moved from #1591 to #1618 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
deberta-large-formality-ranker is a text classification model published by s-nlp. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 3, 2026.
- Published
- Jul 30, 2023
- Last updated
- Oct 14, 2024
- Library
- transformers
- License
- openrail++
- Task
- Text Classification
- Parameters
- 406,215,170
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 0
transformerspytorchsafetensorsdebertatext-classificationformalityenarxiv:1803.06535base_model:microsoft/deberta-v3-largebase_model:finetune:microsoft/deberta-v3-largelicense:openrail++endpoints_compatible
Publisher
s-nlpView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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