Instructions to use Epoching/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 Epoching/rl_course_vizdoom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r Epoching/rl_course_vizdoom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
rl_course_vizdoom_health_gathering_supreme / .summary /0 /events.out.tfevents.1714388182.ebbd177e26c7
- Xet hash:
- 3e9b9c49ec60546a02728948932c6826a5d0c098c9376dba94825317d9de6b1b
- Size of remote file:
- 510 kB
- SHA256:
- 7ecc1cedd31419d55d97eef07d3789fcbe468e324b8a71e54670da4a448c8be7
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