st-polish-paraphrase-from-distilroberta
sdadas/st-polish-paraphrase-from-distilroberta
Tracked by OpenModelStats since September 1, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 4,419
- Total downloadsCumulative all-time download counter reported by the source platform.
- 194.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,128(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #353 among tracked Sentence Similarity models.
- #12,693
- 23(down 23 places)this week
- Parameters
- 124M
- Last source update
- Sep 22, 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.
- 52.2
- st-polish-paraphrase-from-distilroberta gained 1,128 downloads during the last seven tracked days.
- It moved from #351 to #353 among tracked Sentence Similarity models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
st-polish-paraphrase-from-distilroberta is a sentence similarity model published by sdadas. OpenModelStats has tracked the model since Sep 1, 2026, most recently observing it Oct 1, 2026.
- Published
- Jul 25, 2022
- Last updated
- Sep 22, 2026
- Library
- sentence-transformers
- License
- lgpl
- Task
- Sentence Similarity
- Parameters
- 124,443,394
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 161
sentence-transformerspytorchtfsafetensorsrobertafeature-extractionsentence-similaritytransformerspllicense:lgpltext-embeddings-inferenceendpoints_compatible
Publisher
sdadasView publisher statistics →Similar models
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