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mrhacker7599
/
wav2vec2-base-superb-er

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

Instructions to use mrhacker7599/wav2vec2-base-superb-er with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrhacker7599/wav2vec2-base-superb-er with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="mrhacker7599/wav2vec2-base-superb-er")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("mrhacker7599/wav2vec2-base-superb-er")
    model = AutoModelForAudioClassification.from_pretrained("mrhacker7599/wav2vec2-base-superb-er")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-superb-er
378 MB
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  • 1 contributor
History: 3 commits
mrhacker7599's picture
mrhacker7599
Upload pytorch_model.bin
bc0055b verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.5 kB
    Initial Commit about 2 years ago
  • config.json
    2.15 kB
    Initial Commit about 2 years ago
  • preprocessor_config.json
    215 Bytes
    Initial Commit about 2 years ago
  • pytorch_model.bin
    378 MB
    xet
    Upload pytorch_model.bin about 2 years ago