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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 / tokenizer
28.3 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
ranupthestairs's picture
ranupthestairs
Duplicate from maya-research/maya1
90be40d about 2 months ago
  • chat_template.jinja
    3.83 kB
    Duplicate from maya-research/maya1 about 2 months ago
  • special_tokens_map.json
    3.33 kB
    Duplicate from maya-research/maya1 about 2 months ago
  • tokenizer.json
    22.9 MB
    xet
    Duplicate from maya-research/maya1 about 2 months ago
  • tokenizer_config.json
    5.41 MB
    Duplicate from maya-research/maya1 about 2 months ago