Instructions to use OpenVoiceOS/nvidia-fr-conformer-ctc-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/nvidia-fr-conformer-ctc-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-fr-conformer-ctc-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83c7e3f50fc6843deab4d2f394342b7e4d0bce7aac63dc05b76fdb0740b572bf
- Size of remote file:
- 144 MB
- SHA256:
- cef85ad92aed3466dd31a9ffd9a1761fef44531664acb7c677653f276094d36e
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