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")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/michael-v3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
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"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 24000
}
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