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mazesmazes
/
tiny-audio-swift-bundle

Automatic Speech Recognition
Transformers
English
asr
speech-recognition
audio
qwen
glm-asr
Model card Files Files and versions
xet
Community

Instructions to use mazesmazes/tiny-audio-swift-bundle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mazesmazes/tiny-audio-swift-bundle with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mazesmazes/tiny-audio-swift-bundle")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mazesmazes/tiny-audio-swift-bundle", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-audio-swift-bundle
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  • 1 contributor
History: 3 commits
mazesmazes's picture
mazesmazes
Update README from MODEL_CARD.md
50a8d09 verified 5 days ago
  • .gitattributes
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  • README.md
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  • config.json
    630 Bytes
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  • decoder.safetensors
    671 MB
    xet
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  • decoder_config.json
    1.87 kB
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  • encoder.safetensors
    683 MB
    xet
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  • manifest.json
    1.15 kB
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  • projector.safetensors
    50.3 MB
    xet
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.77 kB
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