Instructions to use Masterx/canary-1b-flash-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Masterx/canary-1b-flash-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Masterx/canary-1b-flash-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Upload cross-kv-model.int8.onnx with huggingface_hub
Browse files- cross-kv-model.int8.onnx +3 -0
cross-kv-model.int8.onnx
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size 8446232
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