Instructions to use OpenVoiceOS/nvidia-en-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-en-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-en-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2c13f51b0af6f3e48f973808f3ca2dcc3e27c07cb002dc21cc143388de8fd07
- Size of remote file:
- 481 MB
- SHA256:
- cb2eb0820190c942e64cd4e0aeebdd92cd8adcb28aecaeee2197722d7d10bc41
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