Reinforcement Learning
stable-baselines3
4d-snake
4d-snake-2x4
snake
deep-reinforcement-learning
sb3-contrib
maskable-ppo
Eval Results (legacy)
Instructions to use BurnyCoder/4d-snake-exp02-ppo-2x4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use BurnyCoder/4d-snake-exp02-ppo-2x4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="BurnyCoder/4d-snake-exp02-ppo-2x4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download best_model.zip from BurnyCoder/4d-snake-exp02-ppo-2x4: direct link, hf CLI and curl.
- Browser
- Download file 7.58 MB
-
https://huggingface.co/BurnyCoder/4d-snake-exp02-ppo-2x4/resolve/929734baa6c7185f77cfceebaaa6806bc8781abd/best_model.zip
- Command line
-
hf download hf://BurnyCoder/4d-snake-exp02-ppo-2x4@929734baa6c7185f77cfceebaaa6806bc8781abd/best_model.zip
-
curl -L -o best_model.zip https://huggingface.co/BurnyCoder/4d-snake-exp02-ppo-2x4/resolve/929734baa6c7185f77cfceebaaa6806bc8781abd/best_model.zip
7.58 MB
- Xet hash:
- 4d010d9770ae863be0e14b5004f817c394112c45ea5d0a0f0619247d465c9c96
- Size of remote file:
- 7.58 MB
- SHA256:
- 57a4b48ac450f0947c6af1a1b4b5218c1e82c19a695fa58c635b89cd174facbc
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