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gawon16
/
model_save

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use gawon16/model_save with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gawon16/model_save with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="gawon16/model_save")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("gawon16/model_save")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("gawon16/model_save")
  • Notebooks
  • Google Colab
  • Kaggle
model_save
153 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
gawon16's picture
gawon16
Upload tokenizer
2557900 verified about 2 years ago
  • runs
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  • .gitattributes
    1.52 kB
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  • README.md
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  • added_tokens.json
    34.6 kB
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  • config.json
    1.31 kB
    End of training about 2 years ago
  • generation_config.json
    3.74 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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  • preprocessor_config.json
    339 Bytes
    End of training about 2 years ago
  • special_tokens_map.json
    2.19 kB
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  • tokenizer_config.json
    283 kB
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  • training_args.bin
    5.05 kB
    xet
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  • vocab.json
    1.04 MB
    Upload processor about 2 years ago