Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use agercas/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use agercas/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="agercas/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download a2c-PandaReachDense-v2.zip from agercas/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 109 kB
-
https://huggingface.co/agercas/a2c-PandaReachDense-v2/resolve/main/a2c-PandaReachDense-v2.zip
- Command line
-
hf download hf://agercas/a2c-PandaReachDense-v2/a2c-PandaReachDense-v2.zip
-
curl -L -o a2c-PandaReachDense-v2.zip https://huggingface.co/agercas/a2c-PandaReachDense-v2/resolve/main/a2c-PandaReachDense-v2.zip
109 kB
- Xet hash:
- 1e51ccab4a899fb9da5b3aad246f60645ae1909666b5f6cbfebf755f37d61f92
- Size of remote file:
- 109 kB
- SHA256:
- 35f896483d8d51f3cfbd7eb704dd1a130fe2b1720c02851b0b0543ba71c3421b
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