Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
qwen
qwen3
qwen3-tts
voice-design
lora
fine-tuned
audio
expressive
Instructions to use macminix/qwen3_voice_design_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use macminix/qwen3_voice_design_t5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="macminix/qwen3_voice_design_t5")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("macminix/qwen3_voice_design_t5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2652457b18e1db7885b62a400946a2944b37e130a89d0227e6e93aeb18b2abe5
- Size of remote file:
- 3.83 GB
- SHA256:
- 40c6db7e992dba5e1283258b40a1cc329710fcb1c73a6a43039c4c2894940748
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