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:
- 36c4c355a23bf7295660a9a542d446b7412e1ac29e731bf66cfbb1614ef42a61
- Size of remote file:
- 21.3 MB
- SHA256:
- 97071f7fa70978d0dbf0384384875920e4fa97dad2fce382f35bb4e82a6e721d
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