NeuroBERT-NER
boltuix/NeuroBERT-NER
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 58.2K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 535.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +16.1K(increase)
- 3.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 27
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #363 among tracked Token Classification models.
- #3,517
- 27(down 27 places)this week
- Parameters
- 9.5M
- Last source update
- Jun 30, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 67.1
- NeuroBERT-NER gained 16.1K downloads during the last seven tracked days.
- It moved from #364 to #363 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
NeuroBERT-NER is a token classification model published by boltuix. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 12h ago.
- Published
- Mar 27, 2025
- Last updated
- Jun 30, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Token Classification
- Parameters
- 9,534,757
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 2,302
transformerssafetensorsberttoken-classificationnernamed-entity-recognitiontext-classificationsequence-labelingtransformernlppretrained-modeldataset-finetuning
Publisher
boltuixView publisher statistics →Derived from boltuix/NeuroBERT-Mini (reported by the source; parent not yet tracked).
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