Instructions to use OpenVoiceOS/nvidia-ru-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-ru-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-ru-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ce1fb8c383c7bcb7e0c1a92365a40d0e8f1a8c49dd8cb04f1ec4b7126f5d3a3
- Size of remote file:
- 21.3 MB
- SHA256:
- a8ddef9c2116b9aa87469180222186e936129c645f43b679e5262fb8ae85bc25
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