sentiment-roberta-large-english
siebert/sentiment-roberta-large-english
Text Classificationtransformers
Tracked by OpenModelStats since September 10, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 59.7K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 9.8M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +15.6K(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.
- 159
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #103 among tracked Text Classification models.
- #3,447
- 26(up 26 places)this week
- Parameters
- —
- Last source update
- Jun 11, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 57.3
- sentiment-roberta-large-english gained 15.6K downloads during the last seven tracked days.
- It moved from #106 to #103 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
sentiment-roberta-large-english is a text classification model published by siebert. OpenModelStats has tracked the model since Sep 10, 2026, most recently observing it Sep 17, 2026.
- Published
- Mar 2, 2022
- Last updated
- Jun 11, 2024
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 2,236
transformerspytorchtfjaxrobertatext-classificationsentimenttwitterreviewssiebertenarxiv:1907.11692
Publisher
siebertView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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