Instructions to use ankandrew/rl_course_vizdoom_health_gathering_supreme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use ankandrew/rl_course_vizdoom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r ankandrew/rl_course_vizdoom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc2a2064783873d0698257e755b6ae9a30f78a5e984c8876e07b8afe12779da0
- Size of remote file:
- 34.9 MB
- SHA256:
- b4237993a35e63a1d07132ef16fa3b02896d6bbe4a05c4036754a7d4e64564c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.