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michael-chan-000
/
tts-m-v2

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

Instructions to use michael-chan-000/tts-m-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use michael-chan-000/tts-m-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="michael-chan-000/tts-m-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("michael-chan-000/tts-m-v2")
    model = AutoModelForCausalLM.from_pretrained("michael-chan-000/tts-m-v2")
  • Notebooks
  • Google Colab
  • Kaggle
tts-m-v2
6.74 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
michael-chan-000's picture
michael-chan-000
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