bert-base-nli-mean-tokens
sentence-transformers/bert-base-nli-mean-tokens
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 263.9K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 56.2M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +68.3K(increase)
- 0.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 40
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #73 among tracked Sentence Similarity models.
- #1,283
- 12(down 12 places)this week
- Parameters
- 109M
- Last source update
- Mar 6, 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.
- 58.9
- bert-base-nli-mean-tokens gained 68.3K downloads during the last seven tracked days.
- It moved from #72 to #73 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
bert-base-nli-mean-tokens is a sentence similarity model published by sentence-transformers. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 4, 2026.
- Published
- Mar 2, 2022
- Last updated
- Mar 6, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 109,482,752
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 9,757
sentence-transformerspytorchtfjaxrustonnxsafetensorsopenvinobertfeature-extractionsentence-similaritytransformers
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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