OpenMed-ZeroShot-NER-BloodCancer-Tiny-60M
OpenMed/OpenMed-ZeroShot-NER-BloodCancer-Tiny-60M
Tracked by OpenModelStats since September 22, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 13.6K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 129K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +3,469(increase)
- 2.9%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #518 among tracked Token Classification models.
- #6,954
- 14(up 14 places)this week
- Parameters
- —
- Last source update
- Oct 19, 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.
- 63.3
- OpenMed-ZeroShot-NER-BloodCancer-Tiny-60M gained 3,469 downloads during the last seven tracked days.
- It moved from #517 to #518 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
OpenMed-ZeroShot-NER-BloodCancer-Tiny-60M is a token classification model published by OpenMed. OpenModelStats has tracked the model since Sep 22, 2026, most recently observing it Sep 29, 2026.
- Published
- Sep 15, 2025
- Last updated
- Oct 19, 2025
- Library
- gliner
- License
- apache-2.0
- Task
- Token Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 496
glinerpytorchtoken-classificationentity recognitionnamed-entity-recognitionzero-shotzero-shot-nerzero shotbiomedical-nlpleukemiahematologycancer
Publisher
OpenMedView publisher statistics →Similar models
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