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jadasdn
/
wav2vec2-4

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use jadasdn/wav2vec2-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jadasdn/wav2vec2-4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="jadasdn/wav2vec2-4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("jadasdn/wav2vec2-4")
    model = AutoModelForCTC.from_pretrained("jadasdn/wav2vec2-4")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-4 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 60 commits
jadasdn's picture
jadasdn
Training in progress, step 30000
e76f56b over 2 years ago
  • Dec01_19-50-02_55326378efe5
    Training in progress, step 30000 over 2 years ago