Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Bhargav25/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Bhargav25/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Bhargav25/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-2999966.pt from Bhargav25/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/Bhargav25/ppo-Pyramids/resolve/main/Pyramids/Pyramids-2999966.pt
- Command line
-
hf download hf://Bhargav25/ppo-Pyramids/Pyramids/Pyramids-2999966.pt
-
curl -L -o Pyramids-2999966.pt https://huggingface.co/Bhargav25/ppo-Pyramids/resolve/main/Pyramids/Pyramids-2999966.pt
8.66 MB
- Xet hash:
- 4a045ef4528a1299d2415ba00b2fee2bdf2ad91b3ffb79afcdff3ef52bf08e09
- Size of remote file:
- 8.66 MB
- SHA256:
- bb26a473fde91e38e2aadeef1879c7e908a149a32e05d01ad4306d19ca8d2a96
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.