paraformer-zh
funasr/paraformer-zh
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,305
- Total downloadsCumulative all-time download counter reported by the source platform.
- 9,851
- 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.
- 68
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #747 among tracked Speech Recognition models.
- #22,367
- 20050(down 20050 places)this week
- Parameters
- —
- Last source update
- Jun 19, 2026
- It moved from #72 to #747 among tracked Speech Recognition models this week.
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
paraformer-zh is a speech recognition model published by funasr. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 4h ago.
- Published
- Feb 1, 2024
- Last updated
- Jun 19, 2026
- Library
- funasr
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
funasrParaformerFunASRASRnon-autoregressivespeech-recognitionautomatic-speech-recognitionzhenarxiv:2206.08317license:apache-2.0region:us
Publisher
funasrView publisher statistics →Similar models
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