distilbert-base-uncased-finetuned-sst-2-english
distilbert/distilbert-base-uncased-finetuned-sst-2-english
Tracked by OpenModelStats since September 14, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2.7M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 404.3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +734.2K(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 978
- +2 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #5 among tracked Text Classification models.
- #137
- –this week
- Parameters
- 67M
- Last source update
- Dec 19, 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.
- 82.7
- distilbert-base-uncased-finetuned-sst-2-english gained 734.2K downloads during the last seven tracked days.
- It moved from #6 to #5 among tracked Text Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
distilbert-base-uncased-finetuned-sst-2-english is a text classification model published by distilbert. OpenModelStats has tracked the model since Sep 14, 2026, most recently observing it Oct 14, 2026.
- Published
- Mar 2, 2022
- Last updated
- Dec 19, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 66,955,010
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 104.9K
transformerspytorchtfrustonnxsafetensorsdistilberttext-classificationendataset:sst2dataset:gluearxiv:1910.01108
Model family
Based on base-model relationships reported by the source's metadata.
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