ToolBench_IR_bert_based_uncased
ToolBench/ToolBench_IR_bert_based_uncased
Sentence Similaritysentence-transformers
Tracked by OpenModelStats since August 28, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 854
- Total downloadsCumulative all-time download counter reported by the source platform.
- 20.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +239(increase)
- 1.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 19
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #617 among tracked Sentence Similarity models.
- #33,258
- 250(down 250 places)this week
- Parameters
- —
- Last source update
- Jul 29, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 41.6
- ToolBench_IR_bert_based_uncased gained 239 downloads during the last seven tracked days.
- It moved from #619 to #617 among tracked Sentence Similarity models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
ToolBench_IR_bert_based_uncased is a sentence similarity model published by ToolBench. OpenModelStats has tracked the model since Aug 28, 2026, most recently observing it Sep 27, 2026.
- Published
- Jul 27, 2023
- Last updated
- Jul 29, 2023
- Library
- sentence-transformers
- License
- —
- Task
- Sentence Similarity
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 34
sentence-transformerspytorchbertfeature-extractionsentence-similaritytransformerstext-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure
Publisher
ToolBenchView publisher statistics →Similar models
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