robust-sentiment-analysis
tabularisai/robust-sentiment-analysis
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,513
- Total downloadsCumulative all-time download counter reported by the source platform.
- 148.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +541(increase)
- 0.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 23
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #610 among tracked Text Classification models.
- #27,971
- 124(down 124 places)this week
- Parameters
- 67M
- Last source update
- Jul 28, 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.
- 45.4
- robust-sentiment-analysis gained 541 downloads during the last seven tracked days.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
robust-sentiment-analysis is a text classification model published by tabularisai. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 4, 2026.
- Published
- Jul 23, 2024
- Last updated
- Jul 28, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 66,957,317
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 77
transformerssafetensorsdistilberttext-classificationsentiment-analysissentimentsynthetic datamulti-classsocial-media-analysiscustomer-feedbackproduct-reviewsbrand-monitoring
Publisher
tabularisaiView publisher statistics →Derived from distilbert/distilbert-base-uncased (reported by the source; parent not yet tracked).
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