distilbert-base-uncased-go-emotions-student
joeddav/distilbert-base-uncased-go-emotions-student
Tracked by OpenModelStats since September 9, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,268
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3.3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +500(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.
- 82
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #528 among tracked Text Classification models.
- #19,876
- 228(up 228 places)this week
- Parameters
- 67M
- Last source update
- Sep 15, 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.
- 41.5
- distilbert-base-uncased-go-emotions-student gained 500 downloads during the last seven tracked days.
- It moved from #531 to #528 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
distilbert-base-uncased-go-emotions-student is a text classification model published by joeddav. OpenModelStats has tracked the model since Sep 9, 2026, most recently observing it 4h ago.
- Published
- Mar 2, 2022
- Last updated
- Sep 15, 2025
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- 66,975,004
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 71
transformerspytorchtfsafetensorsdistilberttext-classificationtensorflowendataset:go_emotionsdoi:10.57967/hf/6490license:mitendpoints_compatible
Publisher
joeddavView publisher statistics →Similar models
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