Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
fine-tuned
Instructions to use michael-chan-000/michael-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michael-chan-000/michael-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="michael-chan-000/michael-v3")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/michael-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from michael-chan-000/michael-v3: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
-
https://huggingface.co/michael-chan-000/michael-v3/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://michael-chan-000/michael-v3/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/michael-chan-000/michael-v3/resolve/main/preprocessor_config.json
127 Bytes
| { | |
| "padding_side": "left", | |
| "padding_value": 0.0, | |
| "processor_class": "Qwen3TTSProcessor", | |
| "return_attention_mask": true | |
| } |