Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Hugdir/Pyramids-PPO-RND-Success with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Hugdir/Pyramids-PPO-RND-Success with ml-agents:
mlagents-load-from-hf --repo-id="Hugdir/Pyramids-PPO-RND-Success" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-1499930.onnx from Hugdir/Pyramids-PPO-RND-Success: direct link, hf CLI and curl.
- Browser
- Download file 1.42 MB
-
https://huggingface.co/Hugdir/Pyramids-PPO-RND-Success/resolve/main/Pyramids/Pyramids-1499930.onnx
- Command line
-
hf download hf://Hugdir/Pyramids-PPO-RND-Success/Pyramids/Pyramids-1499930.onnx
-
curl -L -o Pyramids-1499930.onnx https://huggingface.co/Hugdir/Pyramids-PPO-RND-Success/resolve/main/Pyramids/Pyramids-1499930.onnx
1.42 MB
- Xet hash:
- 0035ac28a069268f743c1e7dea4e12b7d14507a6a3eca5f25de91c26fe1ca86c
- Size of remote file:
- 1.42 MB
- SHA256:
- 44bda8e3aa8614617eb458d3763b76c9245daf9cc92d69053ab4015f92c0b09e
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