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bouim
/
Feb18

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use bouim/Feb18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bouim/Feb18 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="bouim/Feb18")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("bouim/Feb18")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("bouim/Feb18", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Feb18 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
bouim's picture
bouim
End of training
b146ba7 over 3 years ago
  • Feb18_16-35-36_ca699dffac51
    End of training over 3 years ago