eu-pii-anonimization-multilang-v2-preview
bardsai/eu-pii-anonimization-multilang-v2-preview
Tracked by OpenModelStats since August 31, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 4,304
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5,751
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +3,555(increase)
- 180.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 3
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #702 among tracked Token Classification models.
- #12,755
- 84(down 84 places)this week
- Parameters
- 278M
- Last source update
- Jun 11, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 70.4
- eu-pii-anonimization-multilang-v2-preview gained 3,555 downloads during the last seven tracked days.
- It moved from #700 to #702 among tracked Token Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
eu-pii-anonimization-multilang-v2-preview is a token classification model published by bardsai. OpenModelStats has tracked the model since Aug 31, 2026, most recently observing it Sep 30, 2026.
- Published
- Jun 8, 2026
- Last updated
- Jun 11, 2026
- Library
- —
- License
- apache-2.0
- Task
- Token Classification
- Parameters
- 277,508,424
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 508
safetensorsxlm-robertapii-detectiontoken-classificationprivacysensitive-datamultilingualbards-aienpldefr
Publisher
bardsaiView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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