Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use cmpatino/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use cmpatino/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="cmpatino/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download a2c-AntBulletEnv-v0.zip from cmpatino/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 129 kB
-
https://huggingface.co/cmpatino/a2c-AntBulletEnv-v0/resolve/main/a2c-AntBulletEnv-v0.zip
- Command line
-
hf download hf://cmpatino/a2c-AntBulletEnv-v0/a2c-AntBulletEnv-v0.zip
-
curl -L -o a2c-AntBulletEnv-v0.zip https://huggingface.co/cmpatino/a2c-AntBulletEnv-v0/resolve/main/a2c-AntBulletEnv-v0.zip
129 kB
- Xet hash:
- fcedbfd2f5bb01cbf633e0c32c8293713fdc215feabd33f0a5d6b6695d050223
- Size of remote file:
- 129 kB
- SHA256:
- 96ebac22c17cd3c9c174e6e6c5dec676a0e5ea1cc1bb152a7acfa818e2a553b6
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