Automatic Speech Recognition
NeMo
Uzbek
speech
audio
asr
parakeet
tdt
fastconformer
uzbek
Eval Results (legacy)
Instructions to use idrock/piyola-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use idrock/piyola-v2 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("idrock/piyola-v2") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88de4f7c4ef76708353e3779b2bc08f140ca23dee1f3f3eedbd5dae732af1178
- Size of remote file:
- 14.8 kB
- SHA256:
- c50802a0ac9d15395f484a7cd257b5afffcbfa2a9a43643cdbb1cf62fd56048b
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