Reinforcement Learning
stable-baselines3
Pendulum-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-Pendulum-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-Pendulum-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-Pendulum-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download tqc-Pendulum-v1.zip from sb3/tqc-Pendulum-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.2 MB
-
https://huggingface.co/sb3/tqc-Pendulum-v1/resolve/1ec4845c3cf251b9d2ff1521d91446d7ccafb4cf/tqc-Pendulum-v1.zip
- Command line
-
hf download hf://sb3/tqc-Pendulum-v1@1ec4845c3cf251b9d2ff1521d91446d7ccafb4cf/tqc-Pendulum-v1.zip
-
curl -L -o tqc-Pendulum-v1.zip https://huggingface.co/sb3/tqc-Pendulum-v1/resolve/1ec4845c3cf251b9d2ff1521d91446d7ccafb4cf/tqc-Pendulum-v1.zip
3.2 MB
- Xet hash:
- a2b3d0fa0aab67e1567153a15bc02b1cce563d7448f3063d114075f699c1ed2b
- Size of remote file:
- 3.2 MB
- SHA256:
- b393e819b74e7060007fa84c5b8eab3851debb3368591d66478e9d199f6c2be3
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