Dymium-NER-v1
dymium/Dymium-NER-v1
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,008
- Total downloadsCumulative all-time download counter reported by the source platform.
- 24K
- 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.
- 3
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #653 among tracked Token Classification models.
- #10,096
- –this week
- Parameters
- 434M
- Last source update
- Feb 27, 2026
Downloads over time
Daily gain between consecutive observationsNot 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
Dymium-NER-v1 is a token classification model published by dymium. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Feb 25, 2026
- Last updated
- Feb 27, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Token Classification
- Parameters
- 434,039,835
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsdeberta-v2token-classificationnerpiisecuritypii-detectiondata-privacycomplianceenbase_model:microsoft/deberta-v3-large
Publisher
dymiumView publisher statistics →Derived from microsoft/deberta-v3-large (reported by the source; parent not yet tracked).
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