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:
- 962ae0cea8d7ce5a1289a0df46116d0e0d1d5be6cd19fdc806699b7e8aac29a6
- Size of remote file:
- 481 MB
- SHA256:
- 6b25d8f020a203ba311aca982e7f12eb89b89116d9b4e9edbc4efd8e934a0ba8
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