Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use LMrilo/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LMrilo/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LMrilo/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download model.zip from LMrilo/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 111 kB
-
https://huggingface.co/LMrilo/a2c-PandaReachDense-v3/resolve/main/model.zip
- Command line
-
hf download hf://LMrilo/a2c-PandaReachDense-v3/model.zip
-
curl -L -o model.zip https://huggingface.co/LMrilo/a2c-PandaReachDense-v3/resolve/main/model.zip
111 kB
- Xet hash:
- be41ec6f0a1a7ea65a5cc6132445cbba3d9652baf28b469a9e6216e14126ec14
- Size of remote file:
- 111 kB
- SHA256:
- 1420d513aef31ca45165b54a52aa6de2dc50256c086f15e1c86d3dc039eb3831
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