Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use CloXD/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use CloXD/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="CloXD/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from CloXD/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.22 kB
-
https://huggingface.co/CloXD/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://CloXD/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/CloXD/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
3.22 kB
- Xet hash:
- 78fbc3f565b9696d02b1fb2974af1d78633f30df99f75c0bbe3f532d20469d4c
- Size of remote file:
- 3.22 kB
- SHA256:
- b9bf8395ea19fd517c4633c6a3348e24c1ebb36868cdbf9e5715f4246bf1c704
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.