bertimbau-base-finetuned-brazilian_court_decisions
Luciano/bertimbau-base-finetuned-brazilian_court_decisions
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 49
- Total downloadsCumulative all-time download counter reported by the source platform.
- 6,062
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +7(increase)
- 0.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 5
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- 109M
- Last source update
- Sep 12, 2023
- bertimbau-base-finetuned-brazilian_court_decisions gained 7 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
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-finetuned-brazilian_court_decisions is a text classification model published by Luciano. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 7, 2026.
- Published
- Sep 13, 2022
- Last updated
- Sep 12, 2023
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- 108,925,955
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 1
transformerspytorchtensorboardsafetensorsberttext-classificationgenerated_from_trainerptdataset:joelito/brazilian_court_decisionsbase_model:neuralmind/bert-base-portuguese-casedbase_model:finetune:neuralmind/bert-base-portuguese-casedlicense:mit
Publisher
LucianoView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
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