sbert-uncased-finnish-paraphrase
TurkuNLP/sbert-uncased-finnish-paraphrase
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 392
- Total downloadsCumulative all-time download counter reported by the source platform.
- 53.4K
- 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.
- 2
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #734 among tracked Sentence Similarity models.
- #28,761
- –this week
- Parameters
- 125M
- Last source update
- Nov 18, 2024
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
sbert-uncased-finnish-paraphrase is a sentence similarity model published by TurkuNLP. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 28 min ago.
- Published
- Mar 2, 2022
- Last updated
- Nov 18, 2024
- Library
- sentence-transformers
- License
- —
- Task
- Sentence Similarity
- Parameters
- 124,519,424
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritytransformersfiarxiv:1912.07076endpoints_compatibleregion:usdeploy:azure
Publisher
TurkuNLPView publisher statistics →Similar models
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