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:
- 37e087ef8bd9a3c3e8805fefd379b86f78e11580488174fde1213d02bec50544
- Size of remote file:
- 481 MB
- SHA256:
- 345e21a15260a8695ba4371c9f3850eaba20434431a0abbc06f6cb7c62939a8b
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