Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
vocence
Instructions to use dailouis58/vocence_king with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dailouis58/vocence_king with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="dailouis58/vocence_king")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("dailouis58/vocence_king", dtype="auto") - Notebooks
- Google Colab
- Kaggle
vocence_king
Vocence miner repository prepared from magma90909/vocence_miner_v3 weights with Vocence-compatible wrapper files.
Required files
miner.py: definesMiner(path_hf_repo),warmup(),generate_wav(instruction, text)chute_config.yml: Chutes build/runtime configvocence_config.yaml: runtime generation/limits settings
Notes
- Model weights and tokenizer files are included directly in this repository.
- Wrapper/config files follow the expected Vocence miner repository structure.
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Model tree for dailouis58/vocence_king
Base model
Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign