MiniLM-L6-danish-encoder
KennethTM/MiniLM-L6-danish-encoder
Tracked by OpenModelStats since September 10, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 770
- Total downloadsCumulative all-time download counter reported by the source platform.
- 36K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +200(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.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #651 among tracked Sentence Similarity models.
- #37,804
- 456(up 456 places)this week
- Parameters
- 22.7M
- Last source update
- Jun 26, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 37.5
- MiniLM-L6-danish-encoder gained 200 downloads during the last seven tracked days.
- It moved from #662 to #651 among tracked Sentence Similarity models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
MiniLM-L6-danish-encoder is a sentence similarity model published by KennethTM. OpenModelStats has tracked the model since Sep 10, 2026, most recently observing it 4h 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
- 29
sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritydadataset:squaddataset:eli5dataset:sentence-transformers/embedding-training-datalicense:mittext-embeddings-inference
Publisher
KennethTMView publisher statistics →Similar models
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