Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
Chinese
text-generation
zen3
zen3-tts
zenlm
qwen3-tts
speech-synthesis
voice-cloning
12hz
Instructions to use zenlm/zen3-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen3-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="zenlm/zen3-tts")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("zenlm/zen3-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_sample": true, | |
| "repetition_penalty": 1.05, | |
| "temperature": 0.9, | |
| "top_p": 1.0, | |
| "top_k": 50, | |
| "subtalker_dosample": true, | |
| "subtalker_temperature": 0.9, | |
| "subtalker_top_p": 1.0, | |
| "subtalker_top_k": 50, | |
| "max_new_tokens": 8192 | |
| } |