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:
- c3ac839d7eedeb1482f43a6dd2094286366204c678e9d16ba6fe15d51420de54
- Size of remote file:
- 470 Bytes
- SHA256:
- 21cceed24d63e235b0d7a1bc93fbce5c040e9c6a3e4485bc6525ec874086baa7
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