Instructions to use OpenVoiceOS/nvidia-be-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-be-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-be-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c24a8d23cd64e25c9651bad82624399ca42bcbf94c5b9376dd500958faf9b6cf
- Size of remote file:
- 481 MB
- SHA256:
- 26a6bae18609d957800dd379bbb8a2f3393f05cdef80a08550b64c1506be5a2c
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