st-polish-paraphrase-from-mpnet
sdadas/st-polish-paraphrase-from-mpnet
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 419.4K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 573.1K
- 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.
- —
- LikesCommunity likes reported by the source platform.
- 5
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #58 among tracked Sentence Similarity models.
- #970
- –this week
- Parameters
- 124M
- Last source update
- Jan 27, 2026
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
st-polish-paraphrase-from-mpnet is a sentence similarity model published by sdadas. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Jul 25, 2022
- Last updated
- Jan 27, 2026
- Library
- sentence-transformers
- License
- lgpl
- Task
- Sentence Similarity
- Parameters
- 124,443,394
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformerspytorchsafetensorsrobertafeature-extractionsentence-similaritytransformerspllicense:lgpltext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
sdadasView publisher statistics →Similar models
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