Instructions to use OpenVoiceOS/nvidia-en-conformer-transducer-xlarge-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/nvidia-en-conformer-transducer-xlarge-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-en-conformer-transducer-xlarge-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 367e428651c7bd17b560d0d32483ba660ceebc2b28933a42571d34e89595ffff
- Size of remote file:
- 7.8 kB
- SHA256:
- c3b2eb7889608a69bd624d9218333557b029eebb19505db0a4e9cae070683119
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