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j2100067
/
dialect-wav-2-4-2

Transformers
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use j2100067/dialect-wav-2-4-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use j2100067/dialect-wav-2-4-2 with Transformers:

    # Load model directly
    from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification
    
    processor = AutoProcessor.from_pretrained("j2100067/dialect-wav-2-4-2")
    model = Wav2Vec2ForSpeechClassification.from_pretrained("j2100067/dialect-wav-2-4-2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dialect-wav-2-4-2
380 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
j2100067's picture
j2100067
End of training
8e5e66b verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.24 kB
    End of training over 1 year ago
  • config.json
    2.42 kB
    Training in progress, step 500 over 1 year ago
  • model.safetensors
    380 MB
    xet
    Training in progress, step 5145 over 1 year ago
  • preprocessor_config.json
    213 Bytes
    Training in progress, step 500 over 1 year ago
  • training_args.bin
    5.3 kB
    xet
    Training in progress, step 500 over 1 year ago