PubMedBERT-base-uncased-sts-combined
bcwarner/PubMedBERT-base-uncased-sts-combined
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 4,006
- Total downloadsCumulative all-time download counter reported by the source platform.
- 35.4K
- 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.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #354 among tracked Sentence Similarity models.
- #13,219
- –this week
- Parameters
- 109M
- Last source update
- Aug 24, 2025
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
PubMedBERT-base-uncased-sts-combined is a sentence similarity model published by bcwarner. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Feb 2, 2024
- Last updated
- Aug 24, 2025
- Library
- sentence-transformers
- License
- mit
- Task
- Sentence Similarity
- Parameters
- 109,482,240
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformerspytorchsafetensorsbertsentence-similaritymedicalarxiv:2308.09892license:mittext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
bcwarnerView publisher statistics →Similar models
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