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rajarshisomvanshi
/
higgs-audio-v3-tts-4b

Text-to-Speech
Transformers
Safetensors
higgs_multimodal_qwen3
feature-extraction
speech-generation
voice-agent
expressive-speech
controllable-tts
multilingual-tts
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use rajarshisomvanshi/higgs-audio-v3-tts-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rajarshisomvanshi/higgs-audio-v3-tts-4b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="rajarshisomvanshi/higgs-audio-v3-tts-4b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("rajarshisomvanshi/higgs-audio-v3-tts-4b", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
higgs-audio-v3-tts-4b
9.32 GB
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  • 1 contributor
History: 2 commits
rajarshisomvanshi's picture
rajarshisomvanshi
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  • README.md
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  • config.json
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  • configuration_higgs_multimodal_qwen3.py
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  • modeling_higgs_multimodal_qwen3.py
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  • tokenizer.json
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  • tokenizer_config.json
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