AraBert-Arabic-Sentiment-Analysis
PRAli22/AraBert-Arabic-Sentiment-Analysis
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 441
- Total downloadsCumulative all-time download counter reported by the source platform.
- 49.2K
- 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.
- —
- LikesCommunity likes reported by the source platform.
- 5
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #940 among tracked Text Classification models.
- #28,296
- –this week
- Parameters
- 135M
- Last source update
- Mar 13, 2024
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot 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
AraBert-Arabic-Sentiment-Analysis is a text classification model published by PRAli22. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 11h ago.
- Published
- Mar 13, 2024
- Last updated
- Mar 13, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 135,196,420
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerstensorboardsafetensorsberttext-classificationgenerated_from_trainerarlicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us
Publisher
PRAli22View publisher statistics →Similar models
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