bert-offensive-lang-detection-tr
TURKCELL/bert-offensive-lang-detection-tr
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,315
- Total downloadsCumulative all-time download counter reported by the source platform.
- 359.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +598(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.
- 9
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #668 among tracked Text Classification models.
- #30,894
- 188(down 188 places)this week
- Parameters
- 184M
- Last source update
- Jan 30, 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.
- 45.0
- bert-offensive-lang-detection-tr gained 598 downloads during the last seven tracked days.
- It moved from #663 to #668 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-offensive-lang-detection-tr is a text classification model published by TURKCELL. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it Oct 6, 2026.
- Published
- Jan 30, 2024
- Last updated
- Jan 30, 2024
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- 184,346,882
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 85
transformerssafetensorsberttext-classificationturkishoffensive-language-detectiontrdataset:offenseval2020_trlicense:mittext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
TURKCELLView publisher statistics →Similar models
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