Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use ArtYac/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use ArtYac/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="ArtYac/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-499963.pt from ArtYac/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/ArtYac/ppo-Pyramids/resolve/main/Pyramids/Pyramids-499963.pt
- Command line
-
hf download hf://ArtYac/ppo-Pyramids/Pyramids/Pyramids-499963.pt
-
curl -L -o Pyramids-499963.pt https://huggingface.co/ArtYac/ppo-Pyramids/resolve/main/Pyramids/Pyramids-499963.pt
8.65 MB
- Xet hash:
- 596ba1cf08c9ad63e62c1aab90e06635cb732655108e99cae63cb46f3e4c9e50
- Size of remote file:
- 8.65 MB
- SHA256:
- bfad828ef4dfce142eb3519a817c09c7b3169c84940b07813a76338b293e4947
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.