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snorbyte
/
snorTTS-Indic-v0

Text-to-Speech
Transformers
Safetensors
llama
text-generation
tts
unsloth
audio
speech-synthesis
text-generation-inference
Model card Files Files and versions
xet
Community
7

Instructions to use snorbyte/snorTTS-Indic-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use snorbyte/snorTTS-Indic-v0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="snorbyte/snorTTS-Indic-v0")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("snorbyte/snorTTS-Indic-v0")
    model = AutoModelForCausalLM.from_pretrained("snorbyte/snorTTS-Indic-v0", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

How can we do real time with parallel request

#7 opened about 1 year ago by
Shekharmeena

Need Correct SNAC Detokenizing code for vLLM inference.

5
#6 opened about 1 year ago by
Hariprasath28
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