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scasutt
/
Prototype_training

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use scasutt/Prototype_training with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="scasutt/Prototype_training")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("scasutt/Prototype_training")
    model = AutoModelForCTC.from_pretrained("scasutt/Prototype_training")
  • Notebooks
  • Google Colab
  • Kaggle
Prototype_training
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
scasutt's picture
scasutt
Training in progress, step 500
3463534 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 over 4 years ago
  • README.md
    1.58 kB
    update model card README.md over 4 years ago
  • config.json
    1.94 kB
    Training in progress, step 500 over 4 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, step 500 over 4 years ago
  • pytorch_model.bin
    378 MB
    xet
    Training in progress, step 500 over 4 years ago
  • training_args.bin
    2.8 kB
    xet
    Training in progress, step 500 over 4 years ago