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7ocho
/
WMAC

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

Instructions to use 7ocho/WMAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 7ocho/WMAC with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="7ocho/WMAC")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("7ocho/WMAC")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("7ocho/WMAC", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
WMAC / runs
49.4 kB
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  • 1 contributor
History: 6 commits
7ocho's picture
7ocho
Training in progress, step 7000
2f521c1 verified 7 months ago
  • Feb25_22-36-09_modal
    Training in progress, step 1000 7 months ago
  • Feb25_22-57-07_modal
    Training in progress, step 1000 7 months ago
  • Feb25_23-53-08_modal
    Training in progress, step 7000 7 months ago