Instructions to use Masterx/canary-180m-flash-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Masterx/canary-180m-flash-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Masterx/canary-180m-flash-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33ae972579640988a0ac1b017245f2a8904169422457d8dcf80c8336ddb844c1
- Size of remote file:
- 316 MB
- SHA256:
- dd5ea0dd3fdcccca429160f38024f9c4850990b0555860de20881491f6563071
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