Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use kfkas/unit1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use kfkas/unit1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="kfkas/unit1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v3.zip from kfkas/unit1: direct link, hf CLI and curl.
- Browser
- Download file 150 kB
-
https://huggingface.co/kfkas/unit1/resolve/main/ppo-LunarLander-v3.zip
- Command line
-
hf download hf://kfkas/unit1/ppo-LunarLander-v3.zip
-
curl -L -o ppo-LunarLander-v3.zip https://huggingface.co/kfkas/unit1/resolve/main/ppo-LunarLander-v3.zip
150 kB
- Xet hash:
- d1cb9dec57f5d5e4189d9596af714a72977bc9c7afe27b477c8592c5cf2e2bfa
- Size of remote file:
- 150 kB
- SHA256:
- 0a7d71c1f848bee9f7f69cb35ecdbb133ae3943ed119238c6e1abc2a0ac46cd7
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