wav2vec2-xls-r-300m-timit-phoneme
vitouphy/wav2vec2-xls-r-300m-timit-phoneme
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 11.1K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 369.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +3,139(increase)
- 0.9%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 33
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #313 among tracked Speech Recognition models.
- #7,777
- 39(up 39 places)this week
- Parameters
- 315M
- Last source update
- May 13, 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.
- 57.8
- wav2vec2-xls-r-300m-timit-phoneme gained 3,139 downloads during the last seven tracked days.
- It moved from #311 to #313 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-xls-r-300m-timit-phoneme is a speech recognition model published by vitouphy. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 5, 2026.
- Published
- May 8, 2022
- Last updated
- May 13, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- 315,483,820
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 448
transformerspytorchsafetensorswav2vec2automatic-speech-recognitionengenerated_from_trainerdoi:10.57967/hf/0125license:apache-2.0model-indexendpoints_compatibleregion:us
Publisher
vitouphyView publisher statistics →Similar models
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