named-entity-recognition-nerkor-hubert-hungarian
NYTK/named-entity-recognition-nerkor-hubert-hungarian
Tracked by OpenModelStats since September 2, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 5,281
- Total downloadsCumulative all-time download counter reported by the source platform.
- 188.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,282(increase)
- 0.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 8
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #682 among tracked Token Classification models.
- #11,402
- 32(up 32 places)this week
- Parameters
- —
- Last source update
- Jan 12, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 53.5
- named-entity-recognition-nerkor-hubert-hungarian gained 1,282 downloads during the last seven tracked days.
- It moved from #683 to #682 among tracked Token Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
named-entity-recognition-nerkor-hubert-hungarian is a token classification model published by NYTK. OpenModelStats has tracked the model since Sep 2, 2026, most recently observing it Oct 2, 2026.
- Published
- Apr 1, 2022
- Last updated
- Jan 12, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Token Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 183
transformerspytorchberttoken-classificationhulicense:apache-2.0endpoints_compatibleregion:usdeploy:azure
Publisher
NYTKView publisher statistics →Similar models
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