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pollitoconpapass
/
quz-tts-model

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

Instructions to use pollitoconpapass/quz-tts-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pollitoconpapass/quz-tts-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="pollitoconpapass/quz-tts-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("pollitoconpapass/quz-tts-model")
    model = AutoModelForPreTraining.from_pretrained("pollitoconpapass/quz-tts-model")
  • Notebooks
  • Google Colab
  • Kaggle
quz-tts-model
332 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
pollitoconpapass's picture
pollitoconpapass
Update README.md
9b791af verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.21 kB
    Update README.md about 2 years ago
  • added_tokens.json
    18 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    1.99 kB
    Upload model about 2 years ago
  • model.safetensors
    332 MB
    xet
    Upload model about 2 years ago
  • preprocessor_config.json
    254 Bytes
    Update preprocessor_config.json about 2 years ago
  • special_tokens_map.json
    47 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    670 Bytes
    Upload tokenizer about 2 years ago
  • vocab.json
    408 Bytes
    Upload tokenizer about 2 years ago