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Magjot
/
Second_test_LLM_3

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

Instructions to use Magjot/Second_test_LLM_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Magjot/Second_test_LLM_3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="Magjot/Second_test_LLM_3")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("Magjot/Second_test_LLM_3")
    model = AutoModelForTextToSpectrogram.from_pretrained("Magjot/Second_test_LLM_3")
  • Notebooks
  • Google Colab
  • Kaggle
Second_test_LLM_3
578 MB
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  • 1 contributor
History: 5 commits
Magjot's picture
Magjot
Update requirements.txt
3e28574 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.17 kB
    Upload SpeechT5ForTextToSpeech 10 months ago
  • config.json
    2.06 kB
    Upload SpeechT5ForTextToSpeech 10 months ago
  • generation_config.json
    185 Bytes
    Upload SpeechT5ForTextToSpeech 10 months ago
  • handler.py
    818 Bytes
    Upload handler.py 10 months ago
  • model.safetensors
    578 MB
    xet
    Upload SpeechT5ForTextToSpeech 10 months ago
  • requirements.txt
    84 Bytes
    Update requirements.txt 10 months ago