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:
- 6a92e5407c0b7ccd97fb5b2babb1f019e27079b4e1136c5baad381da207bca92
- Size of remote file:
- 857 MB
- SHA256:
- 9c0c85ef31816281084186af1cddd4e1fc60c30babc91a41ba3b967378948c06
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