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:
- 68b8da4ef5399ef739366ecc712d1dc57dec62c45488ddfece028cda709a3626
- Size of remote file:
- 16.7 MB
- SHA256:
- 5a811335c5ed77e8bf9de2b7863ad4c64163a56198a0aeaf2bdc7dc033485339
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