Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ThomasSimonini/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ThomasSimonini/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ThomasSimonini/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download a2c-PandaReachDense-v2.zip from ThomasSimonini/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 108 kB
-
https://huggingface.co/ThomasSimonini/a2c-PandaReachDense-v2/resolve/main/a2c-PandaReachDense-v2.zip
- Command line
-
hf download hf://ThomasSimonini/a2c-PandaReachDense-v2/a2c-PandaReachDense-v2.zip
-
curl -L -o a2c-PandaReachDense-v2.zip https://huggingface.co/ThomasSimonini/a2c-PandaReachDense-v2/resolve/main/a2c-PandaReachDense-v2.zip
108 kB
- Xet hash:
- 2c076c5fdadb2e6a94867f49a622489ee9d2e109af2d8a86dc84421c81c02427
- Size of remote file:
- 108 kB
- SHA256:
- 31ed89063e4ceab65dbb5e3fa39531091510bd2550a515dede2d14cf6461376c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.