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TuKoResearch
/
WavCochCausalV8192-vocoder-randinit

Feature Extraction
Transformers
Safetensors
wavcoch
audio
speech
tokenizer
vocoder
custom_code
Model card Files Files and versions
xet
Community

Instructions to use TuKoResearch/WavCochCausalV8192-vocoder-randinit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TuKoResearch/WavCochCausalV8192-vocoder-randinit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="TuKoResearch/WavCochCausalV8192-vocoder-randinit", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("TuKoResearch/WavCochCausalV8192-vocoder-randinit", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    1.06 kB
    Upload WavCoch random-init model (WavCochV8192CausalConfig) 2 months ago
  • config.json
    1.12 kB
    Upload WavCoch random-init model (WavCochV8192CausalConfig) 2 months ago
  • configuration_wavcoch.py
    2.73 kB
    Upload WavCoch random-init model (WavCochV8192CausalConfig) 2 months ago
  • configure_wavcoch.py
    145 Bytes
    Upload WavCoch random-init model (WavCochV8192CausalConfig) 2 months ago
  • model.safetensors
    97.7 MB
    xet
    Upload WavCoch random-init model (WavCochV8192CausalConfig) 2 months ago
  • modeling_wavcoch.py
    22.6 kB
    Upload WavCoch random-init model (WavCochV8192CausalConfig) 2 months ago