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UsefulSensors
/
moonshine-streaming-small

Automatic Speech Recognition
Transformers
Safetensors
English
moonshine_streaming
Eval Results
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use UsefulSensors/moonshine-streaming-small with Transformers:

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

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

#2 opened 19 days ago by
cstr

Add Open ASR Leaderboard evaluation results

#1 opened about 1 month ago by
SaylorTwift
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