MedCPT-Article-Encoder
ncbi/MedCPT-Article-Encoder
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 59K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.6M
- 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.
- 30
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #139 among tracked Embeddings models.
- #3,496
- 2563(down 2563 places)this week
- Parameters
- 109M
- Last source update
- Dec 3, 2023
- It moved from #29 to #139 among tracked Embeddings models this week.
Downloads over time
Daily gain between consecutive observationsNot 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
MedCPT-Article-Encoder is a embeddings model published by ncbi. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 4h ago.
- Published
- Oct 24, 2023
- Last updated
- Dec 3, 2023
- Library
- transformers
- License
- other
- Task
- Embeddings
- Parameters
- 109,482,240
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchsafetensorsbertfeature-extractionarxiv:2307.00589license:othertext-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure
Publisher
ncbiView publisher statistics →Similar models
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