Instructions to use OpenVoiceOS/nvidia-ca-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-ca-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-ca-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d3e4966fef16d6bcad2b74c438cc7e30b93aba739a0a8027a60afb39a6fffa4
- Size of remote file:
- 4.13 kB
- SHA256:
- fbffc22fe749b16824726f3f0dacd751fd32217827863a939e0c15e654bfb60d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.