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Duplicated from  maya-research/maya1

ranupthestairs
/
vocence-tts

Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use ranupthestairs/vocence-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ranupthestairs/vocence-tts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="ranupthestairs/vocence-tts")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("ranupthestairs/vocence-tts")
    model = AutoModelForCausalLM.from_pretrained("ranupthestairs/vocence-tts")
  • Notebooks
  • Google Colab
  • Kaggle
vocence-tts / snac_model
79.4 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
matthewliu0302's picture
matthewliu0302
adapt to vocence update
cdb447a about 1 month ago
  • .cache
    add snac_model about 2 months ago
  • .gitattributes
    1.52 kB
    add snac_model about 2 months ago
  • README.md
    2.37 kB
    add snac_model about 2 months ago
  • config.json
    300 Bytes
    add snac_model about 2 months ago
  • model.safetensors
    79.4 MB
    xet
    adapt to vocence update about 1 month ago