Instructions to use wardner/Qwen3-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use wardner/Qwen3-TTS with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download code_predictor.weight from wardner/Qwen3-TTS: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/wardner/Qwen3-TTS/resolve/main/code_predictor.weight
- Command line
-
hf download hf://wardner/Qwen3-TTS/code_predictor.weight
-
curl -L -o code_predictor.weight https://huggingface.co/wardner/Qwen3-TTS/resolve/main/code_predictor.weight
151 MB
- Xet hash:
- 3e878e47619bb2c6f290d60d7566d02062f5e72baa4384d0392fa09ec6a4e5ca
- Size of remote file:
- 151 MB
- SHA256:
- 33110dcb293c9ec78c13036e9d2bff6302f76b6186c773ed63e5c1a34fea171f
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