Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MStarn/a2c_v2-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MStarn/a2c_v2-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MStarn/a2c_v2-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from MStarn/a2c_v2-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.01 kB
-
https://huggingface.co/MStarn/a2c_v2-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://MStarn/a2c_v2-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/MStarn/a2c_v2-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.01 kB
- Xet hash:
- 2669d819e13cf61b3e797a89739825aef4da9bfd104df14134b91e5b77e48be2
- Size of remote file:
- 3.01 kB
- SHA256:
- 900cc3815b82d5ac560e6c5ad38f5892f6c7fcdfe56c74c1d6ed84393d7369ee
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