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:
- 9dbb002a5edc944d71802a19afd58cb2d2b40efbb5ac37f475cbd9dbe5772a8e
- Size of remote file:
- 481 MB
- SHA256:
- 2732aca66aee852dbd8bc3ce62fb802321f76b45b7b21e8dd798837726e3a423
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