Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
qwen3-tts
voice-design
vocence
Instructions to use Gem1832/super_05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gem1832/super_05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gem1832/super_05")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Gem1832/super_05", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Vocence TTS (Gem1832)
A prompt-driven text-to-speech model fine-tuned by Gem1832 on Qwen3-TTS-12Hz-1.7B-VoiceDesign.
Features
- Natural English speech synthesis
- Prompt-controlled voice characteristics
- 24 kHz mono WAV output
- Optimised for Bittensor SN78 (Vocence)
Usage
from qwen_tts import Qwen3TTSModel
import soundfile as sf
model = Qwen3TTSModel.from_pretrained("Gem1832/vocence-tts")
wavs, sr = model.generate_voice_design(
text="Hello, this is a test of the text-to-speech system.",
instruct="A clear, natural voice with conversational tone.",
language="english",
)
sf.write("output.wav", wavs[0], sr)
Prompt Examples
A man speaks calmly and naturally.
A woman with a warm, friendly tone.
A clear, neutral voice reading the sentence.
Fine-tuned by Gem1832
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