Instructions to use ussoewwin/CCSR-TensorRT-Engine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use ussoewwin/CCSR-TensorRT-Engine 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 ccsr_apply_f16io.rtxplan from ussoewwin/CCSR-TensorRT-Engine: direct link, hf CLI and curl.
- Browser
- Download file 2.49 GB
-
https://huggingface.co/ussoewwin/CCSR-TensorRT-Engine/resolve/main/ccsr_apply_f16io.rtxplan
- Command line
-
hf download hf://ussoewwin/CCSR-TensorRT-Engine/ccsr_apply_f16io.rtxplan
-
curl -L -o ccsr_apply_f16io.rtxplan https://huggingface.co/ussoewwin/CCSR-TensorRT-Engine/resolve/main/ccsr_apply_f16io.rtxplan
2.49 GB
- Xet hash:
- 24f4fc65fe5872f718eae563147e56f93c5fa89cd33715d49ae80edf04cb4ac2
- Size of remote file:
- 2.49 GB
- SHA256:
- c8bbe29106e42676e03648bddb9af0fb3e096e88106617ce0936737ac86fca43
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.