asr-uz-fastconformer-large
uzinfocom-edu-ai/asr-uz-fastconformer-large
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 294
- Total downloadsCumulative all-time download counter reported by the source platform.
- 668
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +90(increase)
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- —
- Last source update
- Jun 26, 2026
- asr-uz-fastconformer-large gained 90 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
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
asr-uz-fastconformer-large is a speech recognition model published by uzinfocom-edu-ai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 24h ago.
- Published
- Jun 26, 2026
- Last updated
- Jun 26, 2026
- Library
- nemo
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- —
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 13
nemoautomatic-speech-recognitionfastconformerrnntctcuzbekuzdataset:uzinfocom-edu-ai/uzbek-asr-curated-701hbase_model:nvidia/stt_uz_fastconformer_hybrid_large_pcbase_model:finetune:nvidia/stt_uz_fastconformer_hybrid_large_pclicense:apache-2.0region:us
Publisher
uzinfocom-edu-aiView publisher statistics →Derived from nvidia/stt_uz_fastconformer_hybrid_large_pc (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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