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bosonai
/
higgs-tts-2-3b-base

Text-to-Speech
Transformers
Safetensors
higgs_audio_v2
text-to-audio
Model card Files Files and versions
xet
Community
28

Instructions to use bosonai/higgs-tts-2-3b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bosonai/higgs-tts-2-3b-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="bosonai/higgs-tts-2-3b-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToWaveform
    
    processor = AutoProcessor.from_pretrained("bosonai/higgs-tts-2-3b-base")
    model = AutoModelForTextToWaveform.from_pretrained("bosonai/higgs-tts-2-3b-base")
  • Notebooks
  • Google Colab
  • Kaggle
higgs-tts-2-3b-base
11.6 GB
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  • 4 contributors
History: 7 commits
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  • .gitattributes
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  • README.md
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  • config.json
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  • emergent-tts-emotions-win-rate.png
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  • generation_config.json
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  • higgs_audio_tokenizer_architecture.png
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  • higgs_audio_v2_architecture_combined.png
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  • higgs_audio_v2_open_source_delay_pattern.png
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  • model-00001-of-00003.safetensors
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  • model-00002-of-00003.safetensors
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  • model-00003-of-00003.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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