Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ppo-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ppo-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ppo-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-SpaceInvadersNoFrameskip-v4.zip from sb3/ppo-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 20.4 MB
-
https://huggingface.co/sb3/ppo-SpaceInvadersNoFrameskip-v4/resolve/main/ppo-SpaceInvadersNoFrameskip-v4.zip
- Command line
-
hf download hf://sb3/ppo-SpaceInvadersNoFrameskip-v4/ppo-SpaceInvadersNoFrameskip-v4.zip
-
curl -L -o ppo-SpaceInvadersNoFrameskip-v4.zip https://huggingface.co/sb3/ppo-SpaceInvadersNoFrameskip-v4/resolve/main/ppo-SpaceInvadersNoFrameskip-v4.zip
20.4 MB
- Xet hash:
- e97f92e8a9d69d77b0c96ec6f052ede74bde40936798314cb05be5d33c973412
- Size of remote file:
- 20.4 MB
- SHA256:
- 51700099b3d61496f93db52e106c4e3b0c8c8790eee9923bc129d4dd91e58c7f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.