Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MRNH/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MRNH/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MRNH/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from MRNH/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.01 kB
-
https://huggingface.co/MRNH/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://MRNH/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/MRNH/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.01 kB
- Xet hash:
- f582fa36caa26d71ab9d16e65f8f923caf80023df6e338a77570c4a6c22a2cbb
- Size of remote file:
- 3.01 kB
- SHA256:
- 236305ae52853b4fa8788cc4c535d38430a2db4b2ec8da1537784afe8d4d0126
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