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
- Xet hash:
- c2345b96c58396a93f505f48e55751fee33ec7e06956f2cd5a06cbb0cc932fa9
- Size of remote file:
- 3.83 GB
- SHA256:
- e0ec6afb36087cbe9ce8eecd63d7374773d56cb0c57f940fedb092df5e1efa38
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