sbert-all-MiniLM-L6-with-pooler
optimum/sbert-all-MiniLM-L6-with-pooler
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,547
- Total downloadsCumulative all-time download counter reported by the source platform.
- 631.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
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- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 6
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #471 among tracked Sentence Similarity models.
- #20,066
- –this week
- Parameters
- —
- Last source update
- Jul 26, 2022
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-all-MiniLM-L6-with-pooler is a sentence similarity model published by optimum. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 1 min ago.
- Published
- Jul 26, 2022
- Last updated
- Jul 26, 2022
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformersonnxbertfeature-extractionsentence-similarityenarxiv:1904.06472arxiv:2102.07033arxiv:2104.08727arxiv:1704.05179arxiv:1810.09305license:apache-2.0
Publisher
optimumView publisher statistics →Similar models
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