Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use robinsk8a/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use robinsk8a/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="robinsk8a/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download SnowballTarget/checkpoint.pt from robinsk8a/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 3.85 MB
-
https://huggingface.co/robinsk8a/ppo-SnowballTarget/resolve/main/SnowballTarget/checkpoint.pt
- Command line
-
hf download hf://robinsk8a/ppo-SnowballTarget/SnowballTarget/checkpoint.pt
-
curl -L -o checkpoint.pt https://huggingface.co/robinsk8a/ppo-SnowballTarget/resolve/main/SnowballTarget/checkpoint.pt
3.85 MB
- Xet hash:
- 5d048be6d385f2756fcf2621dfc3a48239588f530d3a8dad0318e83691588b39
- Size of remote file:
- 3.85 MB
- SHA256:
- 9543badf8dc07d4d78959566c039db6bc94cbeed19b31efca9297b46031e48a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.