Instructions to use LLParallax/sample_factory_human_monk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use LLParallax/sample_factory_human_monk with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r LLParallax/sample_factory_human_monk -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Download r.mp4 from LLParallax/sample_factory_human_monk: direct link, hf CLI and curl.
- Browser
- Download file 9.39 MB
-
https://huggingface.co/LLParallax/sample_factory_human_monk/resolve/main/r.mp4
- Command line
-
hf download hf://LLParallax/sample_factory_human_monk/r.mp4
-
curl -L -o r.mp4 https://huggingface.co/LLParallax/sample_factory_human_monk/resolve/main/r.mp4
9.39 MB
- Xet hash:
- 8db37d98c2b00dcdb4f225c5bb375d811fe974fee4ec670d8464682c6f5b5023
- Size of remote file:
- 9.39 MB
- SHA256:
- a198c1b4aa36e68ede0519e887359c9e139cb3ab22d0fb350db077d2039e4b0b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.