Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Sakura5201/SAC-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Sakura5201/SAC-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Sakura5201/SAC-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Sakura5201/SAC-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.54 kB
-
https://huggingface.co/Sakura5201/SAC-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Sakura5201/SAC-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Sakura5201/SAC-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.54 kB
- Xet hash:
- 5eb264626add880862b1367900b1fecd86dfe872793ece6cb4c47678f096f1ef
- Size of remote file:
- 3.54 kB
- SHA256:
- a8aeb08aad91def9a0c9813f0d0700ca96c26b6b7d0c7e5979992e6d0f2120f2
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