bert-base-turkish-ner-cased
savasy/bert-base-turkish-ner-cased
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 11.6K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 371.5K
- 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.
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- LikesCommunity likes reported by the source platform.
- 21
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #584 among tracked Token Classification models.
- #7,350
- 5883(down 5883 places)this week
- Parameters
- 111M
- Last source update
- Feb 1, 2024
- It moved from #7 to #584 among tracked Token Classification models this week.
Downloads over time
Rolling recent-window downloads as reportedNot 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
bert-base-turkish-ner-cased is a token classification model published by savasy. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Mar 2, 2022
- Last updated
- Feb 1, 2024
- Library
- transformers
- License
- —
- Task
- Token Classification
- Parameters
- 110,622,727
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchjaxsafetensorsberttoken-classificationtrarxiv:2401.17396endpoints_compatibleregion:us
Publisher
savasyView publisher statistics →Similar models
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