wav2vec2-xls-r-300m-korean
w11wo/wav2vec2-xls-r-300m-korean
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 435
- Total downloadsCumulative all-time download counter reported by the source platform.
- 27.4K
- 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.
- 8
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1203 among tracked Speech Recognition models.
- #28,589
- –this week
- Parameters
- 317M
- Last source update
- Dec 20, 2023
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot 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-xls-r-300m-korean is a speech recognition model published by w11wo. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Mar 2, 2022
- Last updated
- Dec 20, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- 316,675,895
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchtensorboardsafetensorswav2vec2automatic-speech-recognitiongenerated_from_trainerhf-asr-leaderboardrobust-speech-eventkodataset:kresnik/zeroth_koreanarxiv:2111.09296
Publisher
w11woView publisher statistics →Similar models
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