Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ManishW/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ManishW/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ManishW/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from ManishW/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.38 kB
-
https://huggingface.co/ManishW/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://ManishW/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/ManishW/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.38 kB
- Xet hash:
- e637a58a945381e67cf7f9b8a1164eebad9b74ea3628dca9d972951399fe89d0
- Size of remote file:
- 2.38 kB
- SHA256:
- 103e29e5aafc79a2be2bdf64e9589281eb7509c2947cdcd8eb614651b0c04a56
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