wav2vec2-large-robust_ETRI_Korean_english-pronunciation
slplab/wav2vec2-large-robust_ETRI_Korean_english-pronunciation
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 97
- Total downloadsCumulative all-time download counter reported by the source platform.
- 906
- 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.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- 316M
- Last source update
- Dec 8, 2024
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-large-robust_ETRI_Korean_english-pronunciation is a speech recognition model published by slplab. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 59 min ago.
- Published
- Dec 7, 2024
- Last updated
- Dec 8, 2024
- Library
- transformers
- License
- —
- Task
- Speech Recognition
- Parameters
- 315,889,720
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerstensorboardsafetensorswav2vec2automatic-speech-recognitionspeech-recognitionenglish-phoneme-recognitionendpoints_compatibleregion:usdeploy:azure
Publisher
slplabView publisher statistics →Similar models
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