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EYEDOL
/
speek

Text-to-Speech
Transformers
TensorBoard
Safetensors
Dutch
speecht5
text-to-audio
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use EYEDOL/speek with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="EYEDOL/speek")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("EYEDOL/speek")
    model = AutoModelForTextToSpectrogram.from_pretrained("EYEDOL/speek")
  • Notebooks
  • Google Colab
  • Kaggle
speek / runs
236 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
EYEDOL's picture
EYEDOL
Training in progress, step 1000
e061fa2 verified over 1 year ago
  • Jan23_21-11-39_e726b5de8a00
    Training in progress, step 8000 over 1 year ago
  • Jan24_13-27-56_c9887ba23e74
    Training in progress, step 11000 over 1 year ago
  • Jan24_21-23-51_1d0fc1ce9244
    Training in progress, step 4000 over 1 year ago
  • Mar07_01-45-39_558e0d920165
    Training in progress, step 1000 over 1 year ago