Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use fatcat22/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use fatcat22/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="fatcat22/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from fatcat22/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.6 kB
-
https://huggingface.co/fatcat22/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://fatcat22/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/fatcat22/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.6 kB
- Xet hash:
- c22d7cfda8a8a722a1ee5032cf4ea173e43464b4af0ab351424cef9ed93af7e1
- Size of remote file:
- 2.6 kB
- SHA256:
- b85f27f67659e3b6650aea7dc341bb7c65ae73cbbd4f63a25f6b6a379357ac32
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