wav2vec2-large-xlsr-open-brazilian-portuguese-v2
lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 687
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.8M
- 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.
- 21
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1000 among tracked Speech Recognition models.
- #26,540
- –this week
- Parameters
- —
- Last source update
- Apr 1, 2022
Downloads over time
Daily gain between consecutive observationsNot 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
wav2vec2-large-xlsr-open-brazilian-portuguese-v2 is a speech recognition model published by lgris. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 1 min ago.
- Published
- Mar 2, 2022
- Last updated
- Apr 1, 2022
- Library
- transformers
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchwav2vec2automatic-speech-recognitionaudiospeechptportuguese-speech-corpusPyTorchhf-asr-leaderboarddataset:common_voicedataset:mls
Publisher
lgrisView publisher statistics →Similar models
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