Instructions to use audio-cpp/LiveAvatar-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use audio-cpp/LiveAvatar-GGUF with Wan2.2:
# 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 examples/quality/target-cache-1.mp4 from audio-cpp/LiveAvatar-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 228 kB
-
https://huggingface.co/audio-cpp/LiveAvatar-GGUF/resolve/main/examples/quality/target-cache-1.mp4
- Command line
-
hf download hf://audio-cpp/LiveAvatar-GGUF/examples/quality/target-cache-1.mp4
-
curl -L -o target-cache-1.mp4 https://huggingface.co/audio-cpp/LiveAvatar-GGUF/resolve/main/examples/quality/target-cache-1.mp4
228 kB
- Xet hash:
- b6d0951016fdcfff5b18dd30522061145bbbc0663dff3b436f8bb76b11c63614
- Size of remote file:
- 228 kB
- SHA256:
- 7582448062b26ced960f09e7bc993a2373e1d7bb13b330b0814f5a0b180cc389
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.