Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use salamentic/Chapter1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use salamentic/Chapter1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="salamentic/Chapter1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download Pog.zip from salamentic/Chapter1: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/salamentic/Chapter1/resolve/main/Pog.zip
- Command line
-
hf download hf://salamentic/Chapter1/Pog.zip
-
curl -L -o Pog.zip https://huggingface.co/salamentic/Chapter1/resolve/main/Pog.zip
147 kB
- Xet hash:
- fc51647f3af08f88f453ad88c040fd3e5e0bc6d6ffc5d03978cd7c504f948d60
- Size of remote file:
- 147 kB
- SHA256:
- e22b2a51f41bd4ba9f0b93fd973d3a38129d425d1abbaeab9b9d9f97c51d0f37
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.