wav2vec2-large-xlsr-japanese-hiragana
vumichien/wav2vec2-large-xlsr-japanese-hiragana
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 549.2K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 743.2K
- 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.
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- LikesCommunity likes reported by the source platform.
- 11
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #68 among tracked Speech Recognition models.
- #732
- –this week
- Parameters
- 316M
- Last source update
- Feb 8, 2023
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
wav2vec2-large-xlsr-japanese-hiragana is a speech recognition model published by vumichien. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Mar 2, 2022
- Last updated
- Feb 8, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- 315,526,870
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchsafetensorswav2vec2automatic-speech-recognitionaudiospeechxlsr-fine-tuning-weekjadataset:common_voicedoi:10.57967/hf/0344license:apache-2.0
Publisher
vumichienView publisher statistics →Similar models
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