Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use aspectcisco/testpyramidsrnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use aspectcisco/testpyramidsrnd with ml-agents:
mlagents-load-from-hf --repo-id="aspectcisco/testpyramidsrnd" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-499998.pt from aspectcisco/testpyramidsrnd: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/aspectcisco/testpyramidsrnd/resolve/main/Pyramids/Pyramids-499998.pt
- Command line
-
hf download hf://aspectcisco/testpyramidsrnd/Pyramids/Pyramids-499998.pt
-
curl -L -o Pyramids-499998.pt https://huggingface.co/aspectcisco/testpyramidsrnd/resolve/main/Pyramids/Pyramids-499998.pt
8.65 MB
- Xet hash:
- b2b85e314ff95a1d18f2bc9f1e5c7056f73d791ee138a7f079a2076a2b36160c
- Size of remote file:
- 8.65 MB
- SHA256:
- 593e5f327128f5a8331c513de9da7730469d302f0aff903a3bcc60bfd39d2c07
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.