BERTimbau-base-text-filter
TucanoBR/BERTimbau-base-text-filter
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 723
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,720
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #719 among tracked Text Classification models.
- #26,417
- –this week
- Parameters
- 109M
- Last source update
- Jul 24, 2025
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
BERTimbau-base-text-filter is a text classification model published by TucanoBR. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 11h ago.
- Published
- Jun 11, 2024
- Last updated
- Jul 24, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 108,924,674
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsberttext-classificationtext-qualityportugueseptdataset:TucanoBR/GigaVerbo-Text-Filterarxiv:2411.07854license:apache-2.0text-embeddings-inferenceendpoints_compatible
Publisher
TucanoBRView publisher statistics →Similar models
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