Instructions to use OpenVoiceOS/nvidia-fr-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-fr-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-fr-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ef818ec32f70b6bf6fe57ef99842cf5cc28b5e8c119888685cd836bc5604428
- Size of remote file:
- 481 MB
- SHA256:
- daae729ef5b88c6d462ecf5af2276549f92979c4736d976364bb80fba975aad7
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