ko-spelling-wav2vec2-conformer-del-1s
42MARU/ko-spelling-wav2vec2-conformer-del-1s
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,191
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,358(increase)
- 16.5%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 7
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #554 among tracked Speech Recognition models.
- #20,234
- 94(up 94 places)this week
- Parameters
- 180M
- Last source update
- Mar 30, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 65.6
- ko-spelling-wav2vec2-conformer-del-1s gained 1,358 downloads during the last seven tracked days.
- It moved from #558 to #554 among tracked Speech Recognition models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
ko-spelling-wav2vec2-conformer-del-1s is a speech recognition model published by 42MARU. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 5, 2026.
- Published
- Oct 31, 2022
- Last updated
- Mar 30, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- 179,840,239
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 194
transformerspytorchsafetensorswav2vec2-conformerautomatic-speech-recognitionaudiokodataset:KsponSpeechlicense:apache-2.0endpoints_compatibleregion:usdeploy:azure
Publisher
42MARUView publisher statistics →Similar models
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