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walston
/
GenAID

Audio Classification
Transformers
Safetensors
Chinese
genaid
feature-extraction
accent-recognition
speaker-disentanglement
wav2vec2
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use walston/GenAID with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="walston/GenAID", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("walston/GenAID", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GenAID
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
walston's picture
walston
Add GenAID vs WhisAID architecture comparison
1627856 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    3.88 kB
    Add GenAID vs WhisAID architecture comparison 3 days ago
  • config.json
    3.39 kB
    Add files using upload-large-folder tool 3 days ago
  • configuration_genaid.py
    631 Bytes
    Add files using upload-large-folder tool 3 days ago
  • model.safetensors
    1.26 GB
    xet
    Add files using upload-large-folder tool 3 days ago
  • modeling_genaid.py
    2.77 kB
    Add files using upload-large-folder tool 3 days ago
  • preprocessor_config.json
    212 Bytes
    Add files using upload-large-folder tool 3 days ago