Instructions to use MiVaCod/ppo-Huggy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use MiVaCod/ppo-Huggy with ml-agents:
mlagents-load-from-hf --repo-id="MiVaCod/ppo-Huggy" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c368cfb52f35199cb6623ddd1d1bbe30ff1a657a5b273e4b1902c30204ebce5f
- Size of remote file:
- 13.5 MB
- SHA256:
- 3835a1513ea141d560e2b7fa664d854e777a931f2708f91c5d3cbf0b733c68c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.