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mkbackup
/
testing_model

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

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

  • Libraries
  • Transformers

    How to use mkbackup/testing_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mkbackup/testing_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("mkbackup/testing_model")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("mkbackup/testing_model")
  • Notebooks
  • Google Colab
  • Kaggle
testing_model / runs
14.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mkbackup's picture
mkbackup
End of training
482ecd2 over 2 years ago
  • Dec03_18-37-17_82d70c06161a
    Training in progress, step 300 over 2 years ago
  • Dec03_22-37-52_36fb9217e736
    End of training over 2 years ago