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lailais1
/
TTS2

Text-to-Audio
Transformers
PyTorch
speecht5
Model card Files Files and versions
xet
Community
1

Instructions to use lailais1/TTS2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lailais1/TTS2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="lailais1/TTS2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("lailais1/TTS2")
    model = AutoModelForTextToSpectrogram.from_pretrained("lailais1/TTS2")
  • Notebooks
  • Google Colab
  • Kaggle
TTS2
Ctrl+K
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  • 1 contributor
History: 3 commits
lailais1's picture
lailais1
Training in progress, step 1000
0015eb6 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • added_tokens.json
    40 Bytes
    Training in progress, step 500 over 2 years ago
  • config.json
    2.11 kB
    Training in progress, step 500 over 2 years ago
  • preprocessor_config.json
    458 Bytes
    Training in progress, step 500 over 2 years ago
  • pytorch_model.bin
    578 MB
    xet
    Training in progress, step 1000 over 2 years ago
  • special_tokens_map.json
    234 Bytes
    Training in progress, step 500 over 2 years ago
  • spm_char.model
    238 kB
    xet
    Training in progress, step 500 over 2 years ago
  • tokenizer_config.json
    294 Bytes
    Training in progress, step 500 over 2 years ago
  • training_args.bin
    4.16 kB
    xet
    Training in progress, step 500 over 2 years ago