Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use samuraibosky/a2c-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use samuraibosky/a2c-0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="samuraibosky/a2c-0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from samuraibosky/a2c-0: direct link, hf CLI and curl.
- Browser
- Download file 2.66 kB
-
https://huggingface.co/samuraibosky/a2c-0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://samuraibosky/a2c-0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/samuraibosky/a2c-0/resolve/main/vec_normalize.pkl
2.66 kB
- Xet hash:
- 6fa0b4833cc09b28d47f6ea6ada93c9ced0b7836ccad8b62c9b97f2f96d9f006
- Size of remote file:
- 2.66 kB
- SHA256:
- 3e1ed71fbe2e6afd79cbb597c93217ceefc4e9326ee1373b8ae75923323fb9c5
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