Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use PrithviS/SAC-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use PrithviS/SAC-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="PrithviS/SAC-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from PrithviS/SAC-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/PrithviS/SAC-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://PrithviS/SAC-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/PrithviS/SAC-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.25 kB
- Xet hash:
- 29e87c6a8c0f0a520aa1c2f79ea70747e3c1571b6b6e62eeb96721934d016b9d
- Size of remote file:
- 3.25 kB
- SHA256:
- f821209dab0243a301a3b0d80bfd34d2179a54f933090660d86f7721df619d66
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