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:
- 5f2651fa9b1c8ac207477c4d025af7c9f692317d8a66381204f2334721e19229
- Size of remote file:
- 5.36 MB
- SHA256:
- 6f1d904d7517c38509b79765ca3c8c4d48711175c7870d843da704ea2cf6c330
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