roberta-base-go_emotions-onnx
SamLowe/roberta-base-go_emotions-onnx
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,538
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,435(increase)
- 0.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 27
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #317 among tracked Text Classification models.
- #10,234
- 21(up 21 places)this week
- Parameters
- —
- Last source update
- Sep 29, 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.
- 50.5
- roberta-base-go_emotions-onnx gained 1,435 downloads during the last seven tracked days.
- It moved from #323 to #317 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
roberta-base-go_emotions-onnx is a text classification model published by SamLowe. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 5, 2026.
- Published
- Sep 28, 2023
- Last updated
- Sep 29, 2023
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 205
transformersonnxrobertatext-classificationint8emotionsmulti-class-classificationmulti-label-classificationoptimumendataset:go_emotionslicense:mit
Publisher
SamLoweView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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