Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Bandika/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Bandika/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Bandika/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Bandika/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.46 kB
-
https://huggingface.co/Bandika/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Bandika/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Bandika/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.46 kB
- Xet hash:
- 79bdbc179f8692629121a0e7a11b6b5cf11945073f3ea5c506947f569cebdbe0
- Size of remote file:
- 2.46 kB
- SHA256:
- 4a07cd2b1165b0566d6900e78c430ae849a08ca72cc1e529e7de7c47c49d61d2
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