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:
- b21023ca98dbb230a610ca0a7786d1b46504d703e0e5f1ce5f7dcd4e58df33eb
- Size of remote file:
- 1.25 MB
- SHA256:
- a679e3b6335ea7ffb89ab6a07bd4bf68fbe27b6a302d96efe5c77882cfdf655d
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