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ai4bharat
/
vits_rasa_13

Text-to-Speech
Transformers
Safetensors
indic_vits_model
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
5

Instructions to use ai4bharat/vits_rasa_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ai4bharat/vits_rasa_13 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="ai4bharat/vits_rasa_13", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ai4bharat/vits_rasa_13", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • added_tokens.json
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  • config.json
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  • configuration_vits.py
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  • modeling_vits.py
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  • tokenization_vits.py
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  • tokenizer_config.json
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  • vocab.json
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