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veract
/
veract-11-biov3.en

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

Instructions to use veract/veract-11-biov3.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use veract/veract-11-biov3.en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="veract/veract-11-biov3.en")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("veract/veract-11-biov3.en")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("veract/veract-11-biov3.en")
  • Notebooks
  • Google Colab
  • Kaggle
veract-11-biov3.en / runs /Dec18_11-40-01_65b4d36b192b
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  • 1 contributor
History: 5 commits
veract's picture
veract
Training in progress, step 500
e3e96ec over 2 years ago
  • events.out.tfevents.1702899608.65b4d36b192b.13359.1
    11 kB
    xet
    Training in progress, step 500 over 2 years ago