Text-to-Speech
Transformers
Safetensors
English
higgs_multimodal_qwen3
feature-extraction
tts
voice-cloning
higgs-audio
qwen3
custom_code
Instructions to use multimodalart/higgs-audio-v3-tts-4b-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use multimodalart/higgs-audio-v3-tts-4b-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="multimodalart/higgs-audio-v3-tts-4b-transformers", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("multimodalart/higgs-audio-v3-tts-4b-transformers", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Server-side copy weights + tokenizer.json from bosonai/higgs-audio-v3-tts-4b
Browse files- .gitattributes +1 -0
- model.safetensors +3 -0
- tokenizer.json +3 -0
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