bert-portuguese-ner
lfcc/bert-portuguese-ner
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 685.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2.3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +71.5K(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.
- 9
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #5 among tracked Token Classification models.
- #567
- –this week
- Parameters
- —
- Last source update
- Oct 11, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 69.0
- bert-portuguese-ner gained 71.5K downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
bert-portuguese-ner is a token classification model published by lfcc. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 2, 2026.
- Published
- Mar 2, 2022
- Last updated
- Oct 11, 2024
- Library
- transformers
- License
- mit
- Task
- Token Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 10.2K
transformerspytorchtensorboardberttoken-classificationgenerated_from_trainerlicense:mitendpoints_compatibleregion:us
Publisher
lfccView publisher statistics →Similar models
| Model | DL 30D |
|---|---|
| indonesian-roberta-base-posp-taggerw11wo | 3M |
| bert-base-NERdslim | 1.5M |
| stanford-deidentifier-baseStanfordAIMI | 1.4M |
| bert-large-cased-finetuned-conll03-englishdbmdz | 822K |
| punctuate-allkredor | 687.5K |
| wikineural-multilingual-nerBabelscape | 669.1K |