Reinforcement Learning
stable-baselines3
BLAdapEnv
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use s6anripk/sand_simulator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use s6anripk/sand_simulator with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="s6anripk/sand_simulator", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download model/actor.optimizer.pth from s6anripk/sand_simulator: direct link, hf CLI and curl.
- Browser
- Download file 7.36 MB
-
https://huggingface.co/s6anripk/sand_simulator/resolve/main/model/actor.optimizer.pth
- Command line
-
hf download hf://s6anripk/sand_simulator/model/actor.optimizer.pth
-
curl -L -o actor.optimizer.pth https://huggingface.co/s6anripk/sand_simulator/resolve/main/model/actor.optimizer.pth
7.36 MB
- Xet hash:
- aec5d1c2aa69a99d57dbcbf97564f8f7559bbe4502ce4907686df318e2cd42b7
- Size of remote file:
- 7.36 MB
- SHA256:
- 7307922dd2ea1de14eb56b49f76fde24660445561c5680972615539dedf19a60
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