bert-small-finetuned-xglue-ner
muhtasham/bert-small-finetuned-xglue-ner
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,567
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3,195
- 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.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #802 among tracked Token Classification models.
- #19,940
- –this week
- Parameters
- 28.5M
- Last source update
- Jul 12, 2023
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
bert-small-finetuned-xglue-ner is a token classification model published by muhtasham. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 18 min ago.
- Published
- Aug 17, 2022
- Last updated
- Jul 12, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Token Classification
- Parameters
- 28,508,173
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchtensorboardsafetensorsberttoken-classificationgenerated_from_trainerdataset:wnut_17license:apache-2.0model-indexendpoints_compatibleregion:us
Publisher
muhtashamView publisher statistics →Similar models
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