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:
- a653cd20a2c59b387811f81d37f985555bc8b6731410c1a9b910f848622d4976
- Size of remote file:
- 3.28 GB
- SHA256:
- ce8976c45711739179ebd496a2830cc95c3b5bb9db8303714fc766273cbf9a3b
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