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UsefulSensors
/
moonshine-tiny

Automatic Speech Recognition
Transformers
Safetensors
English
moonshine
Eval Results
Model card Files Files and versions
xet
Community
8

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

  • Libraries
  • Transformers

    How to use UsefulSensors/moonshine-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

GGUF + pure-C++ runtime in CrispASR — Moonshine

#8 opened 7 days ago by
cstr

Add Open ASR Leaderboard evaluation results

#7 opened about 1 month ago by
SaylorTwift

Improve model card: Update paper link, add GitHub, abstract, and new tags

#5 opened 8 months ago by
nielsr

Timestamped version?

1
#4 opened about 1 year ago by
hammeiam
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