Instructions to use Jjateen/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 Jjateen/rl_course_vizdoom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r Jjateen/rl_course_vizdoom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fefafdb732a911412d6e429a91c0ba3de1d50ce456bb8841f9ad4034bf03480a
- Size of remote file:
- 10.7 MB
- SHA256:
- 20122df288405af3b5a3c12cb0206ba549627cd87046c94b0ddbf81e578b50aa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.