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smdesai
/
canary-1b-v2-coreml

Automatic Speech Recognition
Core ML
NeMo
apple-neural-engine
on-device
ios
macos
speech
audio
automatic-speech-translation
canary
fastconformer
kv-cache
fp16
Model card Files Files and versions
xet
Community

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
canary-1b-v2-coreml
1.89 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
smdesai's picture
smdesai
Add measured iOS RAM for the 180M Flash build
051d328 verified 10 days ago
  • canary_cross_kv.mlmodelc
    Upload folder using huggingface_hub 2 months ago
  • canary_decoder_kv.mlmodelc
    Upload folder using huggingface_hub 2 months ago
  • canary_encoder.mlmodelc
    Upload folder using huggingface_hub 2 months ago
  • canary_preprocessor.mlmodelc
    Upload folder using huggingface_hub 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    3.58 kB
    Add measured iOS RAM for the 180M Flash build 10 days ago
  • canary_spe.model
    504 kB
    xet
    Upload folder using huggingface_hub 2 months ago
  • metadata.json
    1.23 kB
    Upload folder using huggingface_hub 2 months ago