Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AMfeta99/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AMfeta99/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AMfeta99/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from AMfeta99/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.62 kB
-
https://huggingface.co/AMfeta99/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://AMfeta99/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/AMfeta99/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.62 kB
- Xet hash:
- 2e6be49f77a470487c90d5396d3451887030bdfa55cfb405f7b195d680c9b858
- Size of remote file:
- 2.62 kB
- SHA256:
- de33abecb7c6bc205d01d9f9d21f8b286d7c8cb3c9423b613e9e097e80251134
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.