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:
- de49ddb29ac7bebf20b1014c4cf300204a4e539a6c7d5699c637c1da5648f307
- Size of remote file:
- 4.21 MB
- SHA256:
- f5222232acdbba4d5bb1ff3f8df20b3b4b2944f49314917f3ff0a79cc9828e17
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