Instructions to use ltomes/userdevice-rtus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use ltomes/userdevice-rtus with TensorRT:
# 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 samples/sample-frame_06.png from ltomes/userdevice-rtus: direct link, hf CLI and curl.
- Browser
- Download file 3 MB
-
https://huggingface.co/ltomes/userdevice-rtus/resolve/main/samples/sample-frame_06.png
- Command line
-
hf download hf://ltomes/userdevice-rtus/samples/sample-frame_06.png
-
curl -L -o sample-frame_06.png https://huggingface.co/ltomes/userdevice-rtus/resolve/main/samples/sample-frame_06.png
3 MB

- Xet hash:
- c46b4ed93e715ad77ef7bc1d3089b0947d8fa82bcf0d9e48beaa91abf1d74bc1
- Size of remote file:
- 3 MB
- SHA256:
- 6deac16921d0f6fbc076bdf7b292e16b585380ef4eb1f396cefbd0f17ab5d5b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.