Instructions to use MattStammers/appo-atari_choppercommand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use MattStammers/appo-atari_choppercommand with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r MattStammers/appo-atari_choppercommand -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa46d35f15df50910106e6157d6bc2eba81220d953c169166ffffc4e5bbbf6ce
- Size of remote file:
- 5.44 MB
- SHA256:
- 8cdd2efad6d5aad1d8005a1daf061d981c6ab930eae56ad35a2927423eb72406
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.