Instructions to use OpenVoiceOS/nvidia-ru-conformer-transducer-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/nvidia-ru-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-ru-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0139b2a2c8546fdeb99135c3a62e60c511f743795b6eb6ea3c6229fdf990232
- Size of remote file:
- 481 MB
- SHA256:
- 0f2bc0ee9d5a0d9fd645decb0a820ee3e20750430762f08e66fca47495078a10
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