SBERT-base-nli-v2
Muennighoff/SBERT-base-nli-v2
Sentence Similaritysentence-transformers
Tracked by OpenModelStats since August 30, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,956
- Total downloadsCumulative all-time download counter reported by the source platform.
- 25.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +2,022(increase)
- 8.9%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #402 among tracked Sentence Similarity models.
- #16,233
- 939(up 939 places)this week
- Parameters
- —
- Last source update
- Feb 21, 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.
- 65.9
- SBERT-base-nli-v2 gained 2,022 downloads during the last seven tracked days.
- It moved from #411 to #402 among tracked Sentence Similarity models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
SBERT-base-nli-v2 is a sentence similarity model published by Muennighoff. OpenModelStats has tracked the model since Aug 30, 2026, most recently observing it Sep 29, 2026.
- Published
- Mar 2, 2022
- Last updated
- Feb 21, 2022
- Library
- sentence-transformers
- License
- —
- Task
- Sentence Similarity
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 289
sentence-transformerspytorchbertfeature-extractionsentence-similaritytransformersarxiv:2202.08904text-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure
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