wav2vec2-large-xls-r-300m-sinhala-low-LR-part1
SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-low-LR-part1
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 405.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.9M
- 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.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #83 among tracked Speech Recognition models.
- #968
- –this week
- Parameters
- 316M
- Last source update
- Mar 20, 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-xls-r-300m-sinhala-low-LR-part1 is a speech recognition model published by SpideyDLK. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Mar 19, 2024
- Last updated
- Mar 20, 2024
- Library
- transformers
- License
- —
- Task
- Speech Recognition
- Parameters
- 315,520,720
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
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transformerstensorboardsafetensorswav2vec2automatic-speech-recognitionarxiv:1910.09700endpoints_compatibleregion:us
Publisher
SpideyDLKView publisher statistics →Similar models
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