Instructions to use ramsi-k/ppo-Huggy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use ramsi-k/ppo-Huggy with ml-agents:
mlagents-load-from-hf --repo-id="ramsi-k/ppo-Huggy" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76d283b8a389225e13fe4896dc84d51b2a2a9bafdc6431eea75a7a4da95f53ba
- Size of remote file:
- 2.27 MB
- SHA256:
- 0aaa5c9795a0092a2a3a033f77bcb8b823ffddf84197359dcdd5d58d286dba53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.