Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Amiko/a2c-a2c-PandaReachDense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Amiko/a2c-a2c-PandaReachDense with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Amiko/a2c-a2c-PandaReachDense", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Amiko/a2c-a2c-PandaReachDense: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Amiko/a2c-a2c-PandaReachDense/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Amiko/a2c-a2c-PandaReachDense/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Amiko/a2c-a2c-PandaReachDense/resolve/main/vec_normalize.pkl
3.06 kB
- Xet hash:
- 44a51e9ef90b491a92a0387b8f4da2ee63f06d4409a14e1b2672928bd1a50796
- Size of remote file:
- 3.06 kB
- SHA256:
- a1357312ab654594ac7eb496eb62e1430a3295183b14ee35c3eef3941e8915d6
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