Instructions to use Ellbendls/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 Ellbendls/rl_course_vizdoom_health_gathering_supreme with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r Ellbendls/rl_course_vizdoom_health_gathering_supreme -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d9d1955784027f1499914a0224047baf47bc8984a5aae5f25f8fa8053c984ec
- Size of remote file:
- 19.1 MB
- SHA256:
- 526400a0bda6a88164ad116ebe0894f8eaa5c117423e23cb9ba8322918767b27
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