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:
- b8e48d41adc274319eb59b44a177c23496aa5c4fd2649150ea36b98a5227b854
- Size of remote file:
- 506 MB
- SHA256:
- acbcd8a459abe01c1e1fa9c9bfe869a3eaac9232ad3bf4f5bc52895538c778d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.