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 dqn-SpaceInvadersNoFrameskip-v4.zip from Puranjay14/atari: direct link, hf CLI and curl.
- Browser
- Download file 13.7 MB
-
https://huggingface.co/Puranjay14/atari/resolve/main/dqn-SpaceInvadersNoFrameskip-v4.zip
- Command line
-
hf download hf://Puranjay14/atari/dqn-SpaceInvadersNoFrameskip-v4.zip
-
curl -L -o dqn-SpaceInvadersNoFrameskip-v4.zip https://huggingface.co/Puranjay14/atari/resolve/main/dqn-SpaceInvadersNoFrameskip-v4.zip
13.7 MB
- Xet hash:
- 378fa159edfe68f798a1af31cbabf478f691d8dea4bebb550075f2b5f086ee8e
- Size of remote file:
- 13.7 MB
- SHA256:
- 7b521d7e295c8a53ffd64ca0790a4186ae3e58cb325468e5b52f9f852d89f025
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