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rlaorrn
/
working

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 rlaorrn/working with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rlaorrn/working with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rlaorrn/working")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("rlaorrn/working")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("rlaorrn/working")
  • Notebooks
  • Google Colab
  • Kaggle
working / wandb
870 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
rlaorrn's picture
rlaorrn
Training in progress, step 1000
35c352c verified about 2 years ago
  • run-20240524_202737-n1w0kmmv
    Training in progress, step 1000 about 2 years ago
  • run-20240525_175010-8ah63pdc
    Training in progress, step 2500 about 2 years ago
  • run-20240526_141305-wfyhopk0
    Training in progress, step 1000 about 2 years ago
  • debug-internal.log
    43.1 kB
    Training in progress, step 1000 about 2 years ago
  • debug.log
    10.4 kB
    Training in progress, step 500 about 2 years ago