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p4b
/
whisper-small-ko-fl

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Korean
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use p4b/whisper-small-ko-fl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use p4b/whisper-small-ko-fl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="p4b/whisper-small-ko-fl")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("p4b/whisper-small-ko-fl")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("p4b/whisper-small-ko-fl")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-ko-fl
485 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
p4b's picture
p4b
Update README.md
c219b3f over 3 years ago
  • runs
    End of training over 3 years ago
  • .gitattributes
    1.48 kB
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  • .gitignore
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  • README.md
    2.61 kB
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  • added_tokens.json
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  • config.json
    1.03 kB
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  • merges.txt
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  • normalizer.json
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  • preprocessor_config.json
    185 kB
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  • pytorch_model.bin
    484 MB
    xet
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  • special_tokens_map.json
    2.06 kB
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  • tokenizer_config.json
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  • training_args.bin
    4.41 kB
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  • vocab.json
    1.04 MB
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