Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use tomasabril/unit1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use tomasabril/unit1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="tomasabril/unit1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download unit1-tomas.zip from tomasabril/unit1: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/tomasabril/unit1/resolve/main/unit1-tomas.zip
- Command line
-
hf download hf://tomasabril/unit1/unit1-tomas.zip
-
curl -L -o unit1-tomas.zip https://huggingface.co/tomasabril/unit1/resolve/main/unit1-tomas.zip
147 kB
- Xet hash:
- 754edffa282551aa6be28ff3c8561278d55e9c5cdefdf5b8c980685e940ca7af
- Size of remote file:
- 147 kB
- SHA256:
- 06ebeb16a149c933983b5da6824a95c15feb3e8c792524b6ea53b34c68f79919
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