Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
Instructions to use michael-chan-000/tts-v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michael-chan-000/tts-v21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="michael-chan-000/tts-v21")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/tts-v21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from michael-chan-000/tts-v21: direct link, hf CLI and curl.
- Browser
- Download file 245 Bytes
-
https://huggingface.co/michael-chan-000/tts-v21/resolve/main/generation_config.json
- Command line
-
hf download hf://michael-chan-000/tts-v21/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/michael-chan-000/tts-v21/resolve/main/generation_config.json
245 Bytes
| { | |
| "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 | |
| } |