Instructions to use OpenVoiceOS/nvidia-rw-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-rw-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-rw-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9365c4ae6c838fee83755a253627313a6bf1d240fa431a44ba6516d85403756
- Size of remote file:
- 21.3 MB
- SHA256:
- 44a398a308f52a0d7df720394cedefa12cbd8227057c0589faa571fbf1c243f6
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