Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Fhermin/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Fhermin/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Fhermin/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Fhermin/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.05 kB
-
https://huggingface.co/Fhermin/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Fhermin/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Fhermin/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.05 kB
- Xet hash:
- 6abbb2fe675c900e1dc99de9f5791c4b2e506e97c57fab03b2b8fff3ad8b7eb9
- Size of remote file:
- 3.05 kB
- SHA256:
- 9652038b3de140a82daf12fc299f4b792202356441a47be6e664c2fc182bb648
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