Instructions to use OpenVoiceOS/nvidia-eo-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-eo-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-eo-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 975e85c840a3163d5a9d0812eae8be5f363c8dfa4901a6f06c062844741fdf88
- Size of remote file:
- 16.7 MB
- SHA256:
- 727a887ef97c35df4fef50528aa5280741f1ab4508d0097cfa53b516fc509b1d
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