wav2vec2-large-xlsr-open-brazilian-portuguese-v2
lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2
Tracked by OpenModelStats since August 29, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 387
- 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.
- +157(increase)
- 0.0%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 21
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1185 among tracked Speech Recognition models.
- #43,340
- 445(down 445 places)this week
- Parameters
- —
- Last source update
- Apr 1, 2022
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 31.1
- wav2vec2-large-xlsr-open-brazilian-portuguese-v2 gained 157 downloads during the last seven tracked days.
- It moved from #1174 to #1185 among tracked Speech Recognition models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
wav2vec2-large-xlsr-open-brazilian-portuguese-v2 is a speech recognition model published by lgris. OpenModelStats has tracked the model since Aug 29, 2026, most recently observing it Sep 28, 2026.
- 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
- 22
transformerspytorchwav2vec2automatic-speech-recognitionaudiospeechptportuguese-speech-corpusPyTorchhf-asr-leaderboarddataset:common_voicedataset:mls
Publisher
lgrisView publisher statistics →Similar models
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