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majentik
/
Voxtral-4B-TTS-2603-RotorQuant

Text-to-Speech
Transformers
rotorquant
kv-cache-quantization
voxtral
mistral
tts
voice-cloning
zero-shot
quantized
Model card Files Files and versions
xet
Community

Instructions to use majentik/Voxtral-4B-TTS-2603-RotorQuant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use majentik/Voxtral-4B-TTS-2603-RotorQuant with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="majentik/Voxtral-4B-TTS-2603-RotorQuant")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("majentik/Voxtral-4B-TTS-2603-RotorQuant", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Voxtral-4B-TTS-2603-RotorQuant
6.72 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
majentik's picture
majentik
chore(card): add hardware compatibility section
bd0ca38 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    5.2 kB
    chore(card): add hardware compatibility section about 1 month ago