wav2vec2-BERT-cantonese
alvanlii/wav2vec2-BERT-cantonese
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 457
- Total downloadsCumulative all-time download counter reported by the source platform.
- 974.4K
- 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.
- 6
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1171 among tracked Speech Recognition models.
- #28,202
- –this week
- Parameters
- 608M
- Last source update
- Apr 5, 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-BERT-cantonese is a speech recognition model published by alvanlii. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 10 min ago.
- Published
- Jan 26, 2024
- Last updated
- Apr 5, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- 608,443,851
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorswav2vec2-bertautomatic-speech-recognitionzhdataset:mozilla-foundation/common_voice_16_0arxiv:2201.02419license:apache-2.0model-indexendpoints_compatibleregion:us
Publisher
alvanliiView publisher statistics →Similar models
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