MiniLM-L6-danish-encoder
KennethTM/MiniLM-L6-danish-encoder
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 517
- Total downloadsCumulative all-time download counter reported by the source platform.
- 34.8K
- 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.
- 1
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #656 among tracked Sentence Similarity models.
- #27,569
- –this week
- Parameters
- 22.7M
- Last source update
- Jun 26, 2024
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
MiniLM-L6-danish-encoder is a sentence similarity model published by KennethTM. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 1h ago.
- Published
- Jan 9, 2024
- Last updated
- Jun 26, 2024
- Library
- sentence-transformers
- License
- mit
- Task
- Sentence Similarity
- Parameters
- 22,713,216
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritydadataset:squaddataset:eli5dataset:sentence-transformers/embedding-training-datalicense:mittext-embeddings-inference
Publisher
KennethTMView publisher statistics →Similar models
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