Instructions to use OpenVoiceOS/nvidia-de-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-de-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-de-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a20223b6e519007b35460af6d3163800965dd5423a9aa53820377425f983a8e
- Size of remote file:
- 137 MB
- SHA256:
- 3d382c0575254d6ca90bbbb5855c2221d60b57fb92ea51308108d202bb8573e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.