Instructions to use OpenVoiceOS/nvidia-ca-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-ca-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-ca-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eafec8b601254e4efb4fee224cfff10c42ce6749b90775645f1a8640e6167a70
- Size of remote file:
- 21.3 MB
- SHA256:
- 98953315f9119a10a7847fbd3d1032377c9f46d3dbe07c302578aa9a21f13b41
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