OpenMed-ZeroShot-NER-Genome-Small-166M
OpenMed/OpenMed-ZeroShot-NER-Genome-Small-166M
Tracked by OpenModelStats since September 28, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 34.9K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 325.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +8,559(increase)
- 2.8%(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. #405 among tracked Token Classification models.
- #4,472
- 2(down 2 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.
- 65.4
- OpenMed-ZeroShot-NER-Genome-Small-166M gained 8,559 downloads during the last seven tracked days.
- It moved from #404 to #405 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-Genome-Small-166M is a token classification model published by OpenMed. OpenModelStats has tracked the model since Sep 28, 2026, most recently observing it Oct 5, 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
- 1,223
glinerpytorchtoken-classificationentity recognitionnamed-entity-recognitionzero-shotzero-shot-nerzero shotbiomedical-nlpgene-recognitionprotein-recognitiongenomics
Publisher
OpenMedView publisher statistics →Similar models
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