Text-to-Speech
Transformers
Safetensors
higgs_multimodal_qwen3
text-generation
speech-generation
voice-agent
expressive-speech
controllable-tts
multilingual-tts
Instructions to use bosonai/higgs-tts-3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bosonai/higgs-tts-3-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="bosonai/higgs-tts-3-4b")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("bosonai/higgs-tts-3-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add vLLM-Omni as a self-hosting option for Higgs Audio v3
#16
by linyueqian - opened
Adds a vLLM-Omni Usage subsection alongside SGLang Usage. vLLM-Omni has first-class Higgs Audio v3 TTS support merged upstream (vllm-project/vllm-omni#4169, perf #4204), serving the same OpenAI-compatible /v1/audio/speech API with zero-shot voice cloning. Serve command mirrors the official vLLM-Omni recipe.
popsoda2002 changed pull request status to merged