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LOpeetu
/
wav2_vec2_doorbot

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

Instructions to use LOpeetu/wav2_vec2_doorbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LOpeetu/wav2_vec2_doorbot with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="LOpeetu/wav2_vec2_doorbot")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("LOpeetu/wav2_vec2_doorbot")
    model = AutoModelForAudioClassification.from_pretrained("LOpeetu/wav2_vec2_doorbot")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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    initial commit about 3 years ago
  • README.md
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  • config.json
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  • optimizer.pt
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    xet
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  • preprocessor_config.json
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  • pytorch_model.bin
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  • rng_state.pth
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  • trainer_state.json
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  • training_args.bin
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