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:
- 1fe2730144a3b0a7f00681d0e90d25acee9f72d8dfc9dfd0fa93558d487921f8
- Size of remote file:
- 481 MB
- SHA256:
- 323bf8c909cac128e12657c54902047c08cc6fd6f2a928b43268eef049ad6b22
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