Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
british-english
uk-accent
Instructions to use matthewliu0302/grit_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matthewliu0302/grit_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="matthewliu0302/grit_v1")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("matthewliu0302/grit_v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # Image + node + Chute for Vocence deploy. Required in the HF repo at build time. | |
| Image: | |
| from_base: parachutes/python:3.12 | |
| run_command: | |
| - pip install torch torchaudio transformers accelerate huggingface_hub pyyaml soundfile librosa | |
| - pip install -U qwen-tts | |
| set_workdir: /app | |
| NodeSelector: | |
| gpu_count: 1 | |
| min_vram_gb_per_gpu: 24 | |
| include: ["pro_6000"] | |
| exclude: [] | |
| Chute: | |
| tagline: Vocence TTS — Qwen3 PromptTTS (weights in repo) | |
| readme: Qwen3 12Hz TTS snapshot + miner.py for Vocence | |
| shutdown_after_seconds: 86400 | |
| concurrency: 1 | |
| max_instances: 1 | |
| scaling_threshold: 0.5 | |
| tee: true | |