Text-to-Speech
Transformers
Safetensors
higgs_multimodal_qwen3
text-generation
speech-generation
voice-agent
expressive-speech
controllable-tts
multilingual-tts
Instructions to use quangdung/higgs-tts-3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quangdung/higgs-tts-3-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="quangdung/higgs-tts-3-4b")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("quangdung/higgs-tts-3-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/model_architecture.png from quangdung/higgs-tts-3-4b: direct link, hf CLI and curl.
- Browser
- Download file 63.1 kB
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https://huggingface.co/quangdung/higgs-tts-3-4b/resolve/main/assets/model_architecture.png
- Command line
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hf download hf://quangdung/higgs-tts-3-4b/assets/model_architecture.png
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curl -L -o model_architecture.png https://huggingface.co/quangdung/higgs-tts-3-4b/resolve/main/assets/model_architecture.png
63.1 kB
