Instructions to use Nharen/Reward_Rush_SAC_Half_Cheetah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Nharen/Reward_Rush_SAC_Half_Cheetah with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Nharen/Reward_Rush_SAC_Half_Cheetah", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Rename Cheetah video.mp4 to demo.mp4
Browse files- .gitattributes +1 -0
- Cheetah video.mp4 → demo.mp4 +0 -0
.gitattributes
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@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Cheetah[[:space:]]video.mp4 filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Cheetah[[:space:]]video.mp4 filter=lfs diff=lfs merge=lfs -text
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demo.mp4 filter=lfs diff=lfs merge=lfs -text
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Cheetah video.mp4 → demo.mp4
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File without changes
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