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 codec_embed.fp16.bin from wardner/Qwen3-TTS: direct link, hf CLI and curl.
- Browser
- Download file 126 MB
-
https://huggingface.co/wardner/Qwen3-TTS/resolve/main/codec_embed.fp16.bin
- Command line
-
hf download hf://wardner/Qwen3-TTS/codec_embed.fp16.bin
-
curl -L -o codec_embed.fp16.bin https://huggingface.co/wardner/Qwen3-TTS/resolve/main/codec_embed.fp16.bin
126 MB
- Xet hash:
- cf803f66312edff3ffcf4b6bd3956ef1a0e3d5c8213b60a62966cde9b3e7e94c
- Size of remote file:
- 126 MB
- SHA256:
- 934471109029ca00456af5e3818a01d4f69ca487c1b9070150df27322296f9ac
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