scibert_scivocab_uncased-finetuned-ner
jsylee/scibert_scivocab_uncased-finetuned-ner
Token Classificationtransformers
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 21.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 312.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +5,230(increase)
- 1.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 16
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #455 among tracked Token Classification models.
- #5,589
- 19(up 19 places)this week
- Parameters
- —
- Last source update
- Nov 22, 2021
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 62.1
- scibert_scivocab_uncased-finetuned-ner gained 5,230 downloads during the last seven tracked days.
- It moved from #453 to #455 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
scibert_scivocab_uncased-finetuned-ner is a token classification model published by jsylee. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 4, 2026.
- Published
- Mar 2, 2022
- Last updated
- Nov 22, 2021
- Library
- transformers
- License
- —
- Task
- Token Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 747
transformerspytorchberttoken-classificationNamed Entity RecognitionSciBERTAdverse EffectDrugMedicalendataset:ade_corpus_v2endpoints_compatible
Publisher
jsyleeView publisher statistics →Similar models
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