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cankaracelebi
/
finale

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

Instructions to use cankaracelebi/finale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cankaracelebi/finale with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="cankaracelebi/finale")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("cankaracelebi/finale")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("cankaracelebi/finale")
  • Notebooks
  • Google Colab
  • Kaggle
finale
153 MB
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  • 1 contributor
History: 2 commits
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3d8b1c3 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • added_tokens.json
    34.6 kB
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  • config.json
    2.28 kB
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  • generation_config.json
    3.75 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    151 MB
    xet
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  • normalizer.json
    52.7 kB
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    1.04 MB
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