wav2vec2-large-xls-r-300m-sinhala-low-LR-part1
SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-low-LR-part1
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 208.6K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2.4M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +82.2K(increase)
- 3.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #105 among tracked Speech Recognition models.
- #1,488
- 7(up 7 places)this week
- Parameters
- 316M
- Last source update
- Mar 20, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 69.8
- wav2vec2-large-xls-r-300m-sinhala-low-LR-part1 gained 82.2K downloads during the last seven tracked days.
- It moved from #106 to #105 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-xls-r-300m-sinhala-low-LR-part1 is a speech recognition model published by SpideyDLK. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 8h 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
- 11.7K
transformerstensorboardsafetensorswav2vec2automatic-speech-recognitionarxiv:1910.09700endpoints_compatibleregion:us
Publisher
SpideyDLKView publisher statistics →Similar models
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