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 tokenizer.json from michael-chan-000/tts-v21: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/michael-chan-000/tts-v21/resolve/main/tokenizer.json
- Command line
-
hf download hf://michael-chan-000/tts-v21/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/michael-chan-000/tts-v21/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dfaa298c8a8f3789db99ca4ed93704b205026a77009243b49d7f8e194c368803
- Size of remote file:
- 11.4 MB
- SHA256:
- 09267689b8362020b9763b65dd5be7e086b31e28d72e02837a9e781de9a91bc7
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