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CDIALing
/
pidgin-baseline-vits

Text-to-Audio
Transformers
Safetensors
vits
Model card Files Files and versions
xet
Community

Instructions to use CDIALing/pidgin-baseline-vits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CDIALing/pidgin-baseline-vits with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="CDIALing/pidgin-baseline-vits")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("CDIALing/pidgin-baseline-vits")
    model = AutoModelForTextToWaveform.from_pretrained("CDIALing/pidgin-baseline-vits")
  • Notebooks
  • Google Colab
  • Kaggle
pidgin-baseline-vits
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  • 1 contributor
History: 3 commits
Toadoum's picture
Toadoum
Upload tokenizer
e18a791 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    5.17 kB
    Upload model 11 months ago
  • added_tokens.json
    18 Bytes
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  • config.json
    1.98 kB
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  • model.safetensors
    145 MB
    xet
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  • special_tokens_map.json
    275 Bytes
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  • tokenizer_config.json
    700 Bytes
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  • vocab.json
    413 Bytes
    Upload tokenizer 11 months ago