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hts98
/
accent_classification4

Audio Classification
Transformers
PyTorch
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use hts98/accent_classification4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hts98/accent_classification4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="hts98/accent_classification4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("hts98/accent_classification4")
    model = AutoModelForAudioClassification.from_pretrained("hts98/accent_classification4")
  • Notebooks
  • Google Colab
  • Kaggle
accent_classification4
757 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
37acc86 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    End of training almost 3 years ago
  • README.md
    958 Bytes
    update model card README.md almost 3 years ago
  • config.json
    2.24 kB
    End of training almost 3 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    End of training almost 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    End of training almost 3 years ago
  • training_args.bin
    3.9 kB
    xet
    End of training almost 3 years ago