Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Neomedallion/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Neomedallion/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Neomedallion/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Neomedallion/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.65 kB
-
https://huggingface.co/Neomedallion/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Neomedallion/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Neomedallion/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
2.65 kB
- Xet hash:
- 434af4ce14a2e64d3f3b0ad188d0e85618c8e7e6a0c1f15f649579089bc629ad
- Size of remote file:
- 2.65 kB
- SHA256:
- e7c95b74b59e13bf2bcd40930f01794a5e6211ff5a25483a00be087a2bcf0828
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