whisper-th-large-combined
biodatlab/whisper-th-large-combined
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 749
- Total downloadsCumulative all-time download counter reported by the source platform.
- 12.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
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- 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.
- 4
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #971 among tracked Speech Recognition models.
- #26,255
- –this week
- Parameters
- —
- Last source update
- Sep 14, 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
whisper-th-large-combined is a speech recognition model published by biodatlab. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 1h ago.
- Published
- Dec 12, 2022
- Last updated
- Sep 14, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchtensorboardwhisperautomatic-speech-recognitionwhisper-eventgenerated_from_trainerthdataset:mozilla-foundation/common_voice_11_0license:apache-2.0model-indexendpoints_compatible
Publisher
biodatlabView publisher statistics →Similar models
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