bert4ner-base-chinese
shibing624/bert4ner-base-chinese
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 954
- Total downloadsCumulative all-time download counter reported by the source platform.
- 47.5K
- 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.
- —
- LikesCommunity likes reported by the source platform.
- 36
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #858 among tracked Token Classification models.
- #25,319
- 22881(down 22881 places)this week
- Parameters
- 102M
- Last source update
- Feb 19, 2024
- It moved from #10 to #858 among tracked Token Classification models this week.
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
bert4ner-base-chinese is a token classification model published by shibing624. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- May 7, 2022
- Last updated
- Feb 19, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Token Classification
- Parameters
- 101,684,489
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchsafetensorsberttoken-classificationzhnerlicense:apache-2.0endpoints_compatibleregion:usdeploy:azure
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