Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use MTahaB/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use MTahaB/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="MTahaB/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-899935.pt from MTahaB/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/MTahaB/ppo-Pyramids/resolve/main/Pyramids/Pyramids-899935.pt
- Command line
-
hf download hf://MTahaB/ppo-Pyramids/Pyramids/Pyramids-899935.pt
-
curl -L -o Pyramids-899935.pt https://huggingface.co/MTahaB/ppo-Pyramids/resolve/main/Pyramids/Pyramids-899935.pt
8.66 MB
- Xet hash:
- ca0a3e0d9d17bd7a73d1ef3af8e88d4a04de9d31fee29a4560bea8cf86d51e59
- Size of remote file:
- 8.66 MB
- SHA256:
- 0859aa00e7e812e976ac4512d06b3c22a2a23060b9a21859d2aa0f6789ea2ee7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.