Instructions to use Masterx/canary-1b-v2-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Masterx/canary-1b-v2-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Masterx/canary-1b-v2-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5eff30395b59864965fbc0ab0c3419cfd1f80965b2fdb134b94ad3d61f9c053
- Size of remote file:
- 676 MB
- SHA256:
- 962dc77709f31c1ed8a55a7518ff4bed7316a87c442e7c79aa3573c4bbc39a72
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