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 speaker_encoder.weight from wardner/Qwen3-TTS: direct link, hf CLI and curl.
- Browser
- Download file 24.2 MB
-
https://huggingface.co/wardner/Qwen3-TTS/resolve/main/speaker_encoder.weight
- Command line
-
hf download hf://wardner/Qwen3-TTS/speaker_encoder.weight
-
curl -L -o speaker_encoder.weight https://huggingface.co/wardner/Qwen3-TTS/resolve/main/speaker_encoder.weight
24.2 MB
- Xet hash:
- 551160ea954a851d00e51d3a3906b5563bf2084c82fe64f57b32e9305576a5dd
- Size of remote file:
- 24.2 MB
- SHA256:
- 292e1214d1fa2ab5502dcc1e926ffb48d8228dc0e1b13b859418b9ab4d8f3717
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