Text-to-Speech
Transformers
Safetensors
higgs_multimodal_qwen3
text-generation
tts
voice-cloning
multilingual
expressive-speech
controllable-tts
higgs-audio
mirror
Instructions to use AEmotionStudio/higgs-tts-3-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AEmotionStudio/higgs-tts-3-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AEmotionStudio/higgs-tts-3-models")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("AEmotionStudio/higgs-tts-3-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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