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.
- 16.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 283.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
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- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 16
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #481 among tracked Token Classification models.
- #6,167
- –this week
- Parameters
- —
- Last source update
- Nov 22, 2021
Downloads over time
Rolling recent-window downloads as reportedNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
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 18 min ago.
- Published
- Mar 2, 2022
- Last updated
- Nov 22, 2021
- Library
- transformers
- License
- —
- Task
- Token Classification
- Parameters
- —
- Spaces
- —
- Derivative models
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- Velocity 7D/day
- —
transformerspytorchberttoken-classificationNamed Entity RecognitionSciBERTAdverse EffectDrugMedicalendataset:ade_corpus_v2endpoints_compatible
Publisher
jsyleeView publisher statistics →Similar models
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