Text-to-Speech
Transformers
Safetensors
English
llama
text-generation
tts
qwen3-tts
vocence
text-generation-inference
Instructions to use artur7236/vocence-tts-v19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artur7236/vocence-tts-v19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="artur7236/vocence-tts-v19")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("artur7236/vocence-tts-v19") model = AutoModelForCausalLM.from_pretrained("artur7236/vocence-tts-v19") - Notebooks
- Google Colab
- Kaggle
vocence-tts-v8
Prompt-driven English TTS based on Qwen3-TTS-12Hz-1.7B-VoiceDesign with self-imitation SFT.
from qwen_tts import Qwen3TTSModel
m = Qwen3TTSModel.from_pretrained("artur7236/vocence-tts-v8")
wavs, sr = m.generate_voice_design(text="Hi.", instruct="Friendly voice.", language="english")
CC BY-NC-SA 4.0.
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