stt_es_fastconformer_hybrid_large_pc_nc
nvidia/stt_es_fastconformer_hybrid_large_pc_nc
Tracked by OpenModelStats since September 9, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 94
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2,775
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +43(increase)
- 1.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1544 among tracked Speech Recognition models.
- #55,707
- 439(down 439 places)this week
- Parameters
- —
- Last source update
- Jan 7, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 31.3
- stt_es_fastconformer_hybrid_large_pc_nc gained 43 downloads during the last seven tracked days.
- It moved from #1540 to #1544 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
stt_es_fastconformer_hybrid_large_pc_nc is a speech recognition model published by nvidia. OpenModelStats has tracked the model since Sep 9, 2026, most recently observing it 15h ago.
- Published
- Dec 25, 2024
- Last updated
- Jan 7, 2025
- Library
- nemo
- License
- cc-by-nc-4.0
- Task
- Speech Recognition
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 6
nemoFastConformerNeMoSpanishautomatic-speech-recognitionesdataset:mozilla-foundation/common_voice_12_0dataset:facebook/multilingual_librispeechlicense:cc-by-nc-4.0region:us
Publisher
nvidiaView publisher statistics →Similar models
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