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gngpostalsrvc
/
w2v2

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use gngpostalsrvc/w2v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gngpostalsrvc/w2v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="gngpostalsrvc/w2v2", device_map="auto")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("gngpostalsrvc/w2v2")
    model = AutoModelForCTC.from_pretrained("gngpostalsrvc/w2v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
w2v2 / runs
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
gngpostalsrvc's picture
gngpostalsrvc
End of training
96cb836 almost 4 years ago
  • Sep03_16-10-58_8a1230514cb2
    End of training almost 4 years ago