Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use giobin/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use giobin/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="giobin/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from giobin/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/giobin/a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
- Command line
-
hf download hf://giobin/a2c-PandaReachDense-v2@refs/pr/1/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/giobin/a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
3.06 kB
- Xet hash:
- a1c4c31a25741e4c53facd13d2820542b7eadc495ab1738c83c76c13d511acbd
- Size of remote file:
- 3.06 kB
- SHA256:
- b3f9ad7c8b80e3c1642c3c456389da9dc23dd281a9dfcb94fa15bf37bba2371b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.