Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use glenn2/rocket2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use glenn2/rocket2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="glenn2/rocket2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download rocket_2.zip from glenn2/rocket2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/glenn2/rocket2/resolve/main/rocket_2.zip
- Command line
-
hf download hf://glenn2/rocket2/rocket_2.zip
-
curl -L -o rocket_2.zip https://huggingface.co/glenn2/rocket2/resolve/main/rocket_2.zip
147 kB
- Xet hash:
- ece013ea7b02098acd87f5152e271793cc7dd8fce66c14edc8722fe25cde29d1
- Size of remote file:
- 147 kB
- SHA256:
- 170b5b4a20df4833c5b89841d2f98ea4d0b2650f1432c88ffd846a2d5611a98d
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