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dmavkgo
/
new_model

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

  • Libraries
  • Transformers

    How to use dmavkgo/new_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="dmavkgo/new_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("dmavkgo/new_model")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("dmavkgo/new_model")
  • Notebooks
  • Google Colab
  • Kaggle
new_model / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
dmavkgo's picture
dmavkgo
Training in progress, step 4000
a50d7cf verified almost 2 years ago
  • Apr23_05-32-54_dinfo
    Training in progress, step 4000 about 2 years ago
  • Apr23_13-17-54_dinfo
    Training in progress, step 1000 almost 2 years ago
  • Jul30_19-37-30_dinfo
    Training in progress, step 1000 almost 2 years ago
  • Jul31_12-37-54_dinfo
    Training in progress, step 1000 almost 2 years ago
  • Jul31_13-40-07_dinfo
    Training in progress, step 1000 almost 2 years ago
  • Jul31_14-55-55_dinfo
    Training in progress, step 4000 almost 2 years ago