Reinforcement Learning
stable-baselines3
PandaReach-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use enaitzb/a2c-PandaReach-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use enaitzb/a2c-PandaReach-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="enaitzb/a2c-PandaReach-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from enaitzb/a2c-PandaReach-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.63 kB
-
https://huggingface.co/enaitzb/a2c-PandaReach-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://enaitzb/a2c-PandaReach-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/enaitzb/a2c-PandaReach-v3/resolve/main/vec_normalize.pkl
2.63 kB
- Xet hash:
- 8b168589813b8692b11c744fbcc51b932a8dcb9a1d37a3a71a13d22e795c2b3d
- Size of remote file:
- 2.63 kB
- SHA256:
- 6b010826e2c590c2191b5eda7a5f21548db6dcbf5408db9c645dbdfd8139115f
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