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pranavdaware
/
speecht5_tts_technical_train2

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

Instructions to use pranavdaware/speecht5_tts_technical_train2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pranavdaware/speecht5_tts_technical_train2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="pranavdaware/speecht5_tts_technical_train2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("pranavdaware/speecht5_tts_technical_train2")
    model = AutoModelForTextToSpectrogram.from_pretrained("pranavdaware/speecht5_tts_technical_train2")
  • Notebooks
  • Google Colab
  • Kaggle
speecht5_tts_technical_train2 / runs
12.6 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
pranavdaware's picture
pranavdaware
Training in progress, step 500
d7b796f verified over 1 year ago
  • Oct23_11-05-52_f5efb1429f86
    Training in progress, step 500 over 1 year ago