Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use FredericProtat/ppo-PyramidsTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use FredericProtat/ppo-PyramidsTraining with ml-agents:
mlagents-load-from-hf --repo-id="FredericProtat/ppo-PyramidsTraining" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-2000005.pt from FredericProtat/ppo-PyramidsTraining: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/FredericProtat/ppo-PyramidsTraining/resolve/91ad0a5bd69b53bcbc6e60df2ed9b65b5df04cdd/Pyramids/Pyramids-2000005.pt
- Command line
-
hf download hf://FredericProtat/ppo-PyramidsTraining@91ad0a5bd69b53bcbc6e60df2ed9b65b5df04cdd/Pyramids/Pyramids-2000005.pt
-
curl -L -o Pyramids-2000005.pt https://huggingface.co/FredericProtat/ppo-PyramidsTraining/resolve/91ad0a5bd69b53bcbc6e60df2ed9b65b5df04cdd/Pyramids/Pyramids-2000005.pt
8.65 MB
- Xet hash:
- d5b4232c32d681e2cdd1ed32c2f332e19b0c97ba0d99a815bd82114712f843c3
- Size of remote file:
- 8.65 MB
- SHA256:
- 50dae17bed14856020d1d37cf5e7eec29a6f75b7fdba5104aa6b4fa6a86d0751
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