Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Guru-Raja-124/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Guru-Raja-124/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Guru-Raja-124/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Guru-Raja-124/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.03 kB
-
https://huggingface.co/Guru-Raja-124/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Guru-Raja-124/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Guru-Raja-124/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.03 kB
- Xet hash:
- a0a3ad87c1b28260dfab63492bf93ce91181fe3cc42dec2a10b092151e50ee06
- Size of remote file:
- 3.03 kB
- SHA256:
- 37c81b470e048aecbeaac345505e580a837f840dc6fc7c76740e6a69e0854191
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