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dlantonia
/
speecht5_chileno

Text-to-Audio
Transformers
TensorBoard
Safetensors
speecht5
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use dlantonia/speecht5_chileno with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dlantonia/speecht5_chileno with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="dlantonia/speecht5_chileno")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("dlantonia/speecht5_chileno")
    model = AutoModelForTextToSpectrogram.from_pretrained("dlantonia/speecht5_chileno", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
speecht5_chileno
578 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
dlantonia's picture
dlantonia
Training in progress, step 4000
7304108 verified about 2 years ago
  • runs
    Training in progress, step 4000 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • added_tokens.json
    40 Bytes
    Training in progress, step 1000 about 2 years ago
  • config.json
    2.11 kB
    Training in progress, step 1000 about 2 years ago
  • model.safetensors
    578 MB
    xet
    Training in progress, step 4000 about 2 years ago
  • special_tokens_map.json
    234 Bytes
    Training in progress, step 1000 about 2 years ago
  • spm_char.model
    238 kB
    xet
    Training in progress, step 1000 about 2 years ago
  • tokenizer_config.json
    1.36 kB
    Training in progress, step 1000 about 2 years ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, step 1000 about 2 years ago