Instructions to use HusseinEid/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 HusseinEid/rl_course_vizdoom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r HusseinEid/rl_course_vizdoom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
rl_course_vizdoom_health_gathering_supreme / .summary /0 /events.out.tfevents.1714339490.c7d23ca84dec
- Xet hash:
- c7c4df6e8723812b7c911b624b7e97db5c21e361805bb7307aa659a5cb690f6f
- Size of remote file:
- 490 kB
- SHA256:
- 9847657aa418c815e8141d32e4aa1f23979d4e29afebd59cf866daa55ab74b6d
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