tiny-distilbert-base-uncased-finetuned-sst-2-english
sshleifer/tiny-distilbert-base-uncased-finetuned-sst-2-english
Text Classificationtransformers
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3,662
- Total downloadsCumulative all-time download counter reported by the source platform.
- 459K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +2,149(increase)
- 0.5%(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. #426 among tracked Text Classification models.
- #14,324
- 3(down 3 places)this week
- Parameters
- —
- Last source update
- May 12, 2020
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 54.8
- tiny-distilbert-base-uncased-finetuned-sst-2-english gained 2,149 downloads during the last seven tracked days.
- It moved from #425 to #426 among tracked Text Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
tiny-distilbert-base-uncased-finetuned-sst-2-english is a text classification model published by sshleifer. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it Oct 7, 2026.
- Published
- Mar 2, 2022
- Last updated
- May 12, 2020
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 307
transformerspytorchtfdistilberttext-classificationendpoints_compatibleregion:us
Publisher
sshleiferView publisher statistics →Similar models
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