Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
Instructions to use michael-chan-000/tts-v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michael-chan-000/tts-v21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="michael-chan-000/tts-v21")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/tts-v21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from michael-chan-000/tts-v21: direct link, hf CLI and curl.
- Browser
- Download file 217 Bytes
-
https://huggingface.co/michael-chan-000/tts-v21/resolve/main/README.md
- Command line
-
hf download hf://michael-chan-000/tts-v21/README.md
-
curl -L -o README.md https://huggingface.co/michael-chan-000/tts-v21/resolve/main/README.md
217 Bytes
metadata
license: cc-by-nc-sa-4.0
base_model: magma90909/vocence_miner_v8
pipeline_tag: text-to-speech
library_name: transformers
language:
- en
tags:
- tts
- prompttts
- qwen3-tts
- voice-design
- vocence