bert-base-swedish-lowermix-reallysimple-ner
KBLab/bert-base-swedish-lowermix-reallysimple-ner
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 4,858
- Total downloadsCumulative all-time download counter reported by the source platform.
- 131.2K
- 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.
- 5
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #678 among tracked Token Classification models.
- #11,206
- –this week
- Parameters
- 124M
- Last source update
- Apr 19, 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-base-swedish-lowermix-reallysimple-ner is a token classification model published by KBLab. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Mar 2, 2022
- Last updated
- Apr 19, 2023
- Library
- transformers
- License
- —
- Task
- Token Classification
- Parameters
- 124,107,785
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchsafetensorsberttoken-classificationsequence-tagger-modelsvdataset:KBLab/sucx3_nerendpoints_compatibleregion:usdeploy:azure
Publisher
KBLabView publisher statistics →Similar models
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