Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use EdithKim/a2c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use EdithKim/a2c with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="EdithKim/a2c", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from EdithKim/a2c: direct link, hf CLI and curl.
- Browser
- Download file 2.65 kB
-
https://huggingface.co/EdithKim/a2c/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://EdithKim/a2c/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/EdithKim/a2c/resolve/main/vec_normalize.pkl
2.65 kB
- Xet hash:
- 99e24d4fe4b0120014f79a90cc08641a9d55e0eed48c3a6bdb03e4a803780b08
- Size of remote file:
- 2.65 kB
- SHA256:
- 6e80ef3e5a87caa10babd60364b407b6774ef77a275717cd420d3b5b516a09ac
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