Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Puranjay14/atari with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Puranjay14/atari with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Puranjay14/atari", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from Puranjay14/atari: direct link, hf CLI and curl.
- Browser
- Download file 268 kB
-
https://huggingface.co/Puranjay14/atari/resolve/main/replay.mp4
- Command line
-
hf download hf://Puranjay14/atari/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/Puranjay14/atari/resolve/main/replay.mp4
268 kB
- Xet hash:
- 4788ffd653b30cc6823372c503f06edaf9a0afcb97bfa378db509485c3ca85d5
- Size of remote file:
- 268 kB
- SHA256:
- 961ab6016871f866ed78c92d21ef7930dec0110e72144703e0be2b439e42e1af
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