wav2vec2-large-mms-1b-yoruba-colab
e1ec30/wav2vec2-large-mms-1b-yoruba-colab
Tracked by OpenModelStats since October 1, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 56
- Total downloadsCumulative all-time download counter reported by the source platform.
- 639
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +13(increase)
- 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. #1267 among tracked Speech Recognition models.
- #43,709
- 7095(down 7095 places)this week
- Parameters
- 965M
- Last source update
- Aug 29, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 14.4
- wav2vec2-large-mms-1b-yoruba-colab gained 13 downloads during the last seven tracked days.
- It moved from #984 to #1267 among tracked Speech Recognition models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
wav2vec2-large-mms-1b-yoruba-colab is a speech recognition model published by e1ec30. OpenModelStats has tracked the model since Oct 1, 2026, most recently observing it 22h ago.
- Published
- Aug 11, 2026
- Last updated
- Aug 29, 2026
- Library
- transformers
- License
- cc-by-nc-4.0
- Task
- Speech Recognition
- Parameters
- 964,729,279
- Spaces
- 1
- Derivative models
- —
- Velocity 7D/day
- 2
transformerssafetensorswav2vec2automatic-speech-recognitiongenerated_from_trainerbase_model:facebook/mms-1b-allbase_model:finetune:facebook/mms-1b-alllicense:cc-by-nc-4.0endpoints_compatibleregion:us
Publisher
e1ec30View publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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