Instructions to use Hanks1234/battleship-ppo-phase3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Hanks1234/battleship-ppo-phase3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Hanks1234/battleship-ppo-phase3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Hanks1234/battleship-ppo-phase3: direct link, hf CLI and curl.
- Browser
- Download file 588 kB
-
https://huggingface.co/Hanks1234/battleship-ppo-phase3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Hanks1234/battleship-ppo-phase3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Hanks1234/battleship-ppo-phase3/resolve/main/vec_normalize.pkl
588 kB
- Xet hash:
- 3fd7f30c3b55b688590bb750708a52bb9dcfa2d0fbc48c5d85ea1ab50e181e28
- Size of remote file:
- 588 kB
- SHA256:
- 79cb747107c66e4257ff761b5764e0904ddc5a06638d939636985279591b049b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.