Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use SarvasvaK/ML-Agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use SarvasvaK/ML-Agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="SarvasvaK/ML-Agents-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-999936.pt from SarvasvaK/ML-Agents-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/SarvasvaK/ML-Agents-Pyramids/resolve/main/Pyramids/Pyramids-999936.pt
- Command line
-
hf download hf://SarvasvaK/ML-Agents-Pyramids/Pyramids/Pyramids-999936.pt
-
curl -L -o Pyramids-999936.pt https://huggingface.co/SarvasvaK/ML-Agents-Pyramids/resolve/main/Pyramids/Pyramids-999936.pt
8.65 MB
- Xet hash:
- 2ea32231a00c9dbeae6e60a7ebe44976c54c2aaee976ac11ddd649b57323ab71
- Size of remote file:
- 8.65 MB
- SHA256:
- d3470211143a1330f21030084a77bf040b423deaa145a11220c3f464a0ce708f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.