Instructions to use OpenVoiceOS/nvidia-it-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-it-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-it-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d78a7a79d0003c0ca66657ad719e48de2d68ce139b18f78ecec3149920bb0439
- Size of remote file:
- 5.36 MB
- SHA256:
- 6134ff1bd5991625dfd25c0e96d5003035a980d775fc594a5ec08b6753c49ad3
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