medical_vietnamese_embedding
Dqdung205/medical_vietnamese_embedding
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 106
- Total downloadsCumulative all-time download counter reported by the source platform.
- 4,039
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +41(increase)
- 1.0%(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. #831 among tracked Sentence Similarity models.
- #41,289
- 565(down 565 places)this week
- Parameters
- 305M
- Last source update
- Sep 15, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 28.0
- medical_vietnamese_embedding gained 41 downloads during the last seven tracked days.
- It moved from #821 to #831 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
medical_vietnamese_embedding is a sentence similarity model published by Dqdung205. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 21h ago.
- Published
- Sep 13, 2025
- Last updated
- Sep 15, 2025
- Library
- sentence-transformers
- License
- —
- Task
- Sentence Similarity
- Parameters
- 305,368,320
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 6
sentence-transformerssafetensorsnewsentence-similarityfeature-extractiondensegenerated_from_trainerdataset_size:12234loss:MultipleNegativesRankingLosscustom_codevidataset:Dqdung205/medical-vietnamese-qa
Publisher
Dqdung205View publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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