Instructions to use OpenVoiceOS/nvidia-de-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-de-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-de-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8f69d6d88860307459553b4655e440c9c6543a4f77be3d1b765d5dff7169901
- Size of remote file:
- 481 MB
- SHA256:
- b7b2ab748270e9a139128755369c0cf2408708a9c0560429986796ca8aa82fbf
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