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UsefulSensors
/
moonshine-base

Automatic Speech Recognition
Transformers
Safetensors
English
moonshine
Eval Results
Model card Files Files and versions
xet
Community
6

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

  • Libraries
  • Transformers

    How to use UsefulSensors/moonshine-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-base")
  • Notebooks
  • Google Colab
  • Kaggle
moonshine-base
248 MB
Ctrl+K
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  • 2 contributors
History: 9 commits
eustlb's picture
eustlb HF Staff
Update config.json
f56c215 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • configuration_moonshine.py
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  • generation_config.json
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  • model.safetensors
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    xet
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  • modeling_moonshine.py
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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