Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SandyTheAdventurer/SpaceInvader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SandyTheAdventurer/SpaceInvader with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SandyTheAdventurer/SpaceInvader", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from SandyTheAdventurer/SpaceInvader: direct link, hf CLI and curl.
- Browser
- Download file 235 kB
-
https://huggingface.co/SandyTheAdventurer/SpaceInvader/resolve/main/replay.mp4
- Command line
-
hf download hf://SandyTheAdventurer/SpaceInvader/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/SandyTheAdventurer/SpaceInvader/resolve/main/replay.mp4
235 kB
- Xet hash:
- 0444a52cb1c49816139476795621b67588b0672132967f1eac0875d639909350
- Size of remote file:
- 235 kB
- SHA256:
- f284f47fe56e78b894a9a23f361deb9ec182beff988f7a6505b71c0c3c0de41b
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