Instructions to use Aadit-032/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Aadit-032/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Aadit-032/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2/pytorch_variables.pth from Aadit-032/ppo-LunarLander-v3: direct link, hf CLI and curl.
- Browser
- Download file 1.26 kB
-
https://huggingface.co/Aadit-032/ppo-LunarLander-v3/resolve/a525a4211a4783bf69854e43788ad99ac02eac28/ppo-LunarLander-v2/pytorch_variables.pth
- Command line
-
hf download hf://Aadit-032/ppo-LunarLander-v3@a525a4211a4783bf69854e43788ad99ac02eac28/ppo-LunarLander-v2/pytorch_variables.pth
-
curl -L -o pytorch_variables.pth https://huggingface.co/Aadit-032/ppo-LunarLander-v3/resolve/a525a4211a4783bf69854e43788ad99ac02eac28/ppo-LunarLander-v2/pytorch_variables.pth
1.26 kB
- Xet hash:
- 23cda4f6ad396661f38517b7829148d214bfd719726a8574beada65c8544dd14
- Size of remote file:
- 1.26 kB
- SHA256:
- 07c7431cf6005e7d8f367d79e995f63e2f9b981a37e3437b795d058f9af4308b
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