Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
Instructions to use michael-chan-000/tts-s-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michael-chan-000/tts-s-5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="michael-chan-000/tts-s-5000")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/tts-s-5000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7aa53fdcc3e45f61e82ffc7bceea9098fdd5af143033df2dc722f91c67d17020
- Size of remote file:
- 682 MB
- SHA256:
- 836b7b357f5ea43e889936a3709af68dfe3751881acefe4ecf0dbd30ba571258
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