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UsefulSensors
/
moonshine-base-ko

Automatic Speech Recognition
Transformers
Safetensors
Korean
moonshine
Model card Files Files and versions
xet
Community

Instructions to use UsefulSensors/moonshine-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UsefulSensors/moonshine-base-ko with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-base-ko")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-base-ko")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-base-ko")
  • Notebooks
  • Google Colab
  • Kaggle
moonshine-base-ko
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
petewarden's picture
petewarden
Update README.md
fff6035 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    7.96 kB
    Update README.md 6 months ago
  • config.json
    976 Bytes
    Upload 2 files 6 months ago
  • generation_config.json
    184 Bytes
    Upload MoonshineForConditionalGeneration 8 months ago
  • model.safetensors
    246 MB
    xet
    Upload MoonshineForConditionalGeneration 8 months ago
  • preprocessor_config.json
    215 Bytes
    Upload 2 files 6 months ago
  • tokenizer.json
    1.99 MB
    Upload tokenizer.json 6 months ago