Reinforcement Learning
stable-baselines3
PandaStack-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-PandaStack-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-PandaStack-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-PandaStack-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 884d91b5fbcb0e94abca9a173e337a07caf56cbf65ef1ba11fe3f2527d21c89c
- Size of remote file:
- 767 kB
- SHA256:
- c423b0fc5e04cf6535759921b87b6cf14869d9c4e478f8c7717764065055a7cc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.