Instructions to use OpenVoiceOS/nvidia-es-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-es-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5314ab201fb715da63bc69f5ab6deb3afbd0d12946ba4aff703867e329bea50
- Size of remote file:
- 16.7 MB
- SHA256:
- f10de22833692d08c3f28e446beed3e470cfa075fa3d4a51650773c858d30448
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