Instructions to use cpgrant/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 cpgrant/rl_course_vizdoom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r cpgrant/rl_course_vizdoom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57fe3ac333d215ba2b5cbb2e486aaf03db225408b5aeb9125d9591a8f179c3dc
- Size of remote file:
- 5.9 MB
- SHA256:
- 484a7f3aeb83bdf7d3651c52d49eb8cb31eee039a7d925965a07d08300b09ad9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.