Automatic Speech Recognition
Core ML
NeMo
apple-neural-engine
on-device
ios
macos
speech
audio
automatic-speech-translation
canary
fastconformer
kv-cache
fp16
Instructions to use smdesai/canary-1b-v2-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use smdesai/canary-1b-v2-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("smdesai/canary-1b-v2-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad28448c2f31cef167d150adc0dee236c7bbf5299ca39b565151b5b653a83fbb
- Size of remote file:
- 504 kB
- SHA256:
- c36395c4fc6074512648baa557586c535f92b9d9682f66bf967bf4cc3ab749b8
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