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:
- 559a7c287c7177ac6bcce184d8f5e451485efefe13058279391ac9670f3a7999
- Size of remote file:
- 4.56 kB
- SHA256:
- afcdc77cab47370a0528d654382aadeba2a04158fa733a3424a48ab26f48c728
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