Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use costazd/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use costazd/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="costazd/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from costazd/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.05 kB
-
https://huggingface.co/costazd/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://costazd/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/costazd/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.05 kB
- Xet hash:
- 11c170afa265ee32f05415c4fe303397f663f7e75b31e12af7cabf29472829be
- Size of remote file:
- 3.05 kB
- SHA256:
- a4b3e08ad61c66348c06e40a06977ce3772102301d75e0eb6869fc8e6d514be3
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