Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use GeorgeImmanuel/a2c_PickAndPlaceRobot-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use GeorgeImmanuel/a2c_PickAndPlaceRobot-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="GeorgeImmanuel/a2c_PickAndPlaceRobot-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from GeorgeImmanuel/a2c_PickAndPlaceRobot-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.03 kB
-
https://huggingface.co/GeorgeImmanuel/a2c_PickAndPlaceRobot-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://GeorgeImmanuel/a2c_PickAndPlaceRobot-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/GeorgeImmanuel/a2c_PickAndPlaceRobot-v2/resolve/main/vec_normalize.pkl
3.03 kB
- Xet hash:
- 49f46c5766e12bba50a12300c94d3de0abff270c23cf37c43f98404335dd720e
- Size of remote file:
- 3.03 kB
- SHA256:
- ba75ad3163438fd2c5e2eba99fe157c4aca76b00c8c62676f8ec068dfc469698
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.