bert-tiny-finetuned-glue-rte
muhtasham/bert-tiny-finetuned-glue-rte
Tracked by OpenModelStats since September 10, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 115
- Total downloadsCumulative all-time download counter reported by the source platform.
- 52K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +19(increase)
- 0.0%(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. #1480 among tracked Text Classification models.
- #52,950
- 381(down 381 places)this week
- Parameters
- 4.4M
- Last source update
- Aug 6, 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.
- 20.7
- bert-tiny-finetuned-glue-rte gained 19 downloads during the last seven tracked days.
- It moved from #1479 to #1480 among tracked Text Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
bert-tiny-finetuned-glue-rte is a text classification model published by muhtasham. OpenModelStats has tracked the model since Sep 10, 2026, most recently observing it Oct 4, 2026.
- Published
- Aug 1, 2022
- Last updated
- Aug 6, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 4,386,690
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 3
transformerspytorchtensorboardsafetensorsberttext-classificationgenerated_from_trainerdataset:gluelicense:apache-2.0model-indextext-embeddings-inferenceendpoints_compatible
Publisher
muhtashamView publisher statistics →Similar models
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