distilbert-base-uncased-go-emotions-student
joeddav/distilbert-base-uncased-go-emotions-student
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,787
- 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.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 82
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #491 among tracked Text Classification models.
- #18,608
- –this week
- Parameters
- 67M
- Last source update
- Sep 15, 2025
Downloads over time
Daily gain between consecutive observationsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
distilbert-base-uncased-go-emotions-student is a text classification model published by joeddav. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 17h 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
- —
transformerspytorchtfsafetensorsdistilberttext-classificationtensorflowendataset:go_emotionsdoi:10.57967/hf/6490license:mitendpoints_compatible
Publisher
joeddavView publisher statistics →Similar models
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