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UsefulSensors
/
moonshine-tiny-ja

Automatic Speech Recognition
Transformers
Safetensors
Japanese
moonshine
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use UsefulSensors/moonshine-tiny-ja with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny-ja")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny-ja")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny-ja")
  • Notebooks
  • Google Colab
  • Kaggle
moonshine-tiny-ja
112 MB
Ctrl+K
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  • 2 contributors
History: 6 commits
theadamsabra's picture
theadamsabra
nielsr's picture
nielsr HF Staff
Update license and GitHub repository link (#1)
02ca41b verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • LICENSE.txt
    11.6 kB
    Upload JA model 8 months ago
  • README.md
    7.82 kB
    Update license and GitHub repository link (#1) 8 months ago
  • config.json
    892 Bytes
    Upload JA model 8 months ago
  • generation_config.json
    184 Bytes
    Upload JA model 8 months ago
  • model.safetensors
    108 MB
    xet
    Upload JA model 8 months ago
  • preprocessor_config.json
    215 Bytes
    Upload JA model 8 months ago
  • tokenizer.json
    3.76 MB
    Upload JA model 8 months ago