Reinforcement Learning
stable-baselines3
4d-snake
4d-snake-4x4
snake
deep-reinforcement-learning
sb3-contrib
maskable-ppo
Eval Results (legacy)
Instructions to use BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download best_model.zip from BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc: direct link, hf CLI and curl.
- Browser
- Download file 41.4 MB
-
https://huggingface.co/BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc/resolve/main/best_model.zip
- Command line
-
hf download hf://BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc/best_model.zip
-
curl -L -o best_model.zip https://huggingface.co/BurnyCoder/4d-snake-exp05b-ppo-4x4-from-bc/resolve/main/best_model.zip
41.4 MB
- Xet hash:
- e828f20ade976e62ad2a997840a925c3ac026d415d4b7e522f265015f2eab036
- Size of remote file:
- 41.4 MB
- SHA256:
- 8f8d2f2a2c43336addc4164b1abf8a9130513d64951a5af8a498eb6eaceb86a7
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