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mohitsha
/
wav2vec2-base-superb-sd

Transformers
ONNX
wav2vec2
audio-frame-classification
Model card Files Files and versions
xet
Community

Instructions to use mohitsha/wav2vec2-base-superb-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohitsha/wav2vec2-base-superb-sd with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioFrameClassification
    
    processor = AutoProcessor.from_pretrained("mohitsha/wav2vec2-base-superb-sd")
    model = AutoModelForAudioFrameClassification.from_pretrained("mohitsha/wav2vec2-base-superb-sd")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-superb-sd
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  • 1 contributor
History: 4 commits
mohitsha's picture
mohitsha
Upload config.json with huggingface_hub
5a9cd8d over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    2.5 kB
    Upload config.json with huggingface_hub over 3 years ago
  • model.onnx
    378 MB
    xet
    Upload model.onnx with huggingface_hub over 3 years ago
  • preprocessor_config.json
    215 Bytes
    Upload preprocessor_config.json with huggingface_hub over 3 years ago