Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use violll/unit1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use violll/unit1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="violll/unit1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-test-1.zip from violll/unit1: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/violll/unit1/resolve/main/ppo-test-1.zip
- Command line
-
hf download hf://violll/unit1/ppo-test-1.zip
-
curl -L -o ppo-test-1.zip https://huggingface.co/violll/unit1/resolve/main/ppo-test-1.zip
147 kB
- Xet hash:
- b1455b0102d1ac3b4f5cd0dd98212dc5e7cd19ad57db8be888454098daa81a7f
- Size of remote file:
- 147 kB
- SHA256:
- 68a53e2f9757929888485b30392e1438543c577c0c24240a6d09fe2dfd1ad127
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