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younghoonKIM
/
jm

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use younghoonKIM/jm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="younghoonKIM/jm")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("younghoonKIM/jm")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("younghoonKIM/jm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
jm
967 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
younghoonKIM's picture
younghoonKIM
Training in progress, step 3000
14ce779 over 2 years ago
  • runs
    Training in progress, step 3000 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.32 kB
    Training in progress, step 1000 over 2 years ago
  • model.safetensors
    967 MB
    xet
    Training in progress, step 3000 over 2 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 1000 over 2 years ago
  • training_args.bin
    4.79 kB
    xet
    Training in progress, step 1000 over 2 years ago