Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
Instructions to use michael-chan-000/tts-v27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michael-chan-000/tts-v27 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="michael-chan-000/tts-v27")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/tts-v27", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63a4004179c95feb45b916c947bb485da2576afcd2a9b29f9e85cc88b4d481d2
- Size of remote file:
- 3.83 GB
- SHA256:
- 5acc318c55bada16a6b3a613a4dfc187afd64c1fa46be05c3a5d9fb5782ac4e4
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