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_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matthewliu0302/grit_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="matthewliu0302/grit_v4")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("matthewliu0302/grit_v4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 616 Bytes
7b58314 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # 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
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