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:
- 8d929d07bd3f27503a7ce4fe838d3782a832dc4fc23a47532e9371f5332971c4
- Size of remote file:
- 625 kB
- SHA256:
- 3820a83e2ba8890f116e48d9c6e50a12510fda553c5d65d4a913d7b23f133a5c
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