Robotics
ONNX
LeRobot
rsl_rl
isaaclab
isaac-sim
strands-robots
reinforcement-learning
ppo
unitree-g1
humanoid
locomotion
rough-terrain
Eval Results (legacy)
Instructions to use cagataydev/strands-isaaclab-g1-rough-policy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use cagataydev/strands-isaaclab-g1-rough-policy with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download model_1499.pt from cagataydev/strands-isaaclab-g1-rough-policy: direct link, hf CLI and curl.
- Browser
- Download file 7.84 MB
-
https://huggingface.co/cagataydev/strands-isaaclab-g1-rough-policy/resolve/main/model_1499.pt
- Command line
-
hf download hf://cagataydev/strands-isaaclab-g1-rough-policy/model_1499.pt
-
curl -L -o model_1499.pt https://huggingface.co/cagataydev/strands-isaaclab-g1-rough-policy/resolve/main/model_1499.pt
7.84 MB
- Xet hash:
- 6126bda45c2af407ddfb8c034e1b199677d9994498f71b45e558e67c154ada19
- Size of remote file:
- 7.84 MB
- SHA256:
- a0b010d87a4eefc772a5041cc7dd92f8b13cb9962c9045e55e10167b3db63eed
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