bert-base-arabic-camelbert-mix-did-madar-corpus26
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 725
- Total downloadsCumulative all-time download counter reported by the source platform.
- 98.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +120(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.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #852 among tracked Text Classification models.
- #36,824
- 118(down 118 places)this week
- Parameters
- —
- Last source update
- Oct 27, 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.
- 30.7
- bert-base-arabic-camelbert-mix-did-madar-corpus26 gained 120 downloads during the last seven tracked days.
- It moved from #837 to #852 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
bert-base-arabic-camelbert-mix-did-madar-corpus26 is a text classification model published by CAMeL-Lab. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Mar 2, 2022
- Last updated
- Oct 27, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 17
transformerspytorchtfberttext-classificationararxiv:2103.06678license:apache-2.0endpoints_compatibleregion:us
Publisher
CAMeL-LabView publisher statistics →Similar models
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