Reinforcement Learning
stable-baselines3
QbertNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Qilex/ppo-QbertNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Qilex/ppo-QbertNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Qilex/ppo-QbertNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-QbertNoFrameskip-v4.zip from Qilex/ppo-QbertNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 20.4 MB
-
https://huggingface.co/Qilex/ppo-QbertNoFrameskip-v4/resolve/main/ppo-QbertNoFrameskip-v4.zip
- Command line
-
hf download hf://Qilex/ppo-QbertNoFrameskip-v4/ppo-QbertNoFrameskip-v4.zip
-
curl -L -o ppo-QbertNoFrameskip-v4.zip https://huggingface.co/Qilex/ppo-QbertNoFrameskip-v4/resolve/main/ppo-QbertNoFrameskip-v4.zip
20.4 MB
- Xet hash:
- 21a89c2cf652f80107e589cd9dfb603ca447b1b96e30e2df2075054e5cd4581f
- Size of remote file:
- 20.4 MB
- SHA256:
- f32ad2bcbe1bff4500bfdd022da1ef73da03ee1c661cf549896e6cfcace17b89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.