Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use aalva/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use aalva/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="aalva/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from aalva/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.04 kB
-
https://huggingface.co/aalva/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://aalva/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/aalva/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.04 kB
- Xet hash:
- 09a314d6bd405a127229d35e7b540702fa3f8b5e5bd05278d8a792bc84e9fa1f
- Size of remote file:
- 3.04 kB
- SHA256:
- 4bfbcbe8a79809cdb7823927810b515d3b38d597d58d9ddd34a52a97e2dc0345
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