Instructions to use OpenVoiceOS/nvidia-kab-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-kab-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-kab-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf40755eb4e7f01b6e7b4cec932924edaec6a98f3c4c2ab6308c4baaa7ebd943
- Size of remote file:
- 4.21 MB
- SHA256:
- 45b4265746d71eebb917605865896fc66ddacc341fdef32afab8915ecc058cc7
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