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archinetai
/
vocoder-v1

Feature Extraction
Transformers
PyTorch
archinetai/vocoder-v1
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use archinetai/vocoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use archinetai/vocoder-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="archinetai/vocoder-v1", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("archinetai/vocoder-v1", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vocoder-v1
713 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
flavioschneider's picture
flavioschneider
Upload Vocoder
b8272e6 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    244 Bytes
    Upload Vocoder over 3 years ago
  • config.py
    151 Bytes
    Upload config over 3 years ago
  • model.py
    1.01 kB
    Upload Vocoder over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    713 MB
    xet
    Upload Vocoder over 3 years ago