sbert-chinese-general-v2
DMetaSoul/sbert-chinese-general-v2
Sentence Similaritysentence-transformers
Tracked by OpenModelStats since September 29, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 391
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3.2M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +70(increase)
- 0% vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 38
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #812 among tracked Sentence Similarity models.
- #45,613
- 426(down 426 places)this week
- Parameters
- —
- Last source update
- Apr 4, 2022
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 18.5
- sbert-chinese-general-v2 gained 70 downloads during the last seven tracked days.
- It moved from #815 to #812 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
sbert-chinese-general-v2 is a sentence similarity model published by DMetaSoul. OpenModelStats has tracked the model since Sep 29, 2026, most recently observing it Oct 5, 2026.
- Published
- Mar 25, 2022
- Last updated
- Apr 4, 2022
- Library
- sentence-transformers
- License
- —
- Task
- Sentence Similarity
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 10
sentence-transformerspytorchbertfeature-extractionsentence-similaritytransformerssemantic-searchchinesetext-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure
Publisher
DMetaSoulView publisher statistics →Similar models
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