Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jamesup/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jamesup/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jamesup/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from jamesup/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/jamesup/a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
- Command line
-
hf download hf://jamesup/a2c-PandaReachDense-v2@refs/pr/1/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/jamesup/a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
3.06 kB
- Xet hash:
- 931a0c88da92a4ccdbe3dded0c2a7d8132f8e35da4034a8dca866fe59078ddff
- Size of remote file:
- 3.06 kB
- SHA256:
- e84312c607b22165a0e679f3c9a54177f6a44c50d7c352366e3c8af51a13bd6f
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