Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use whirlie/a2c-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use whirlie/a2c-01 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="whirlie/a2c-01", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from whirlie/a2c-01: direct link, hf CLI and curl.
- Browser
- Download file 2.64 kB
-
https://huggingface.co/whirlie/a2c-01/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://whirlie/a2c-01/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/whirlie/a2c-01/resolve/main/vec_normalize.pkl
2.64 kB
- Xet hash:
- 494342f968a9ab978e4f0d52e772e7dacc5f1a3d6299dbb6a67a2b006b2f2d5a
- Size of remote file:
- 2.64 kB
- SHA256:
- a070cf62d5a90713ffa45b9891de2d24a0aa4ac0e22e579a53aa4da7655002ef
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