Instructions to use getSTEAV/system-one-games with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use getSTEAV/system-one-games with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download NOTICE from getSTEAV/system-one-games: direct link, hf CLI and curl.
- Browser
- Download file 931 Bytes
-
https://huggingface.co/getSTEAV/system-one-games/resolve/main/NOTICE
- Command line
-
hf download hf://getSTEAV/system-one-games/NOTICE
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curl -L -o NOTICE https://huggingface.co/getSTEAV/system-one-games/resolve/main/NOTICE
931 Bytes
| System One Games | |
| Copyright 2026 STEAV | |
| The released LoRA adapters, trained decision heads, inference wrapper, and | |
| retained synthetic decision rows are licensed under Apache License 2.0. | |
| The encoder checkpoint and original typed decision head are from Convai Laya, | |
| by Nandha Kishor M and contributors, licensed under Apache License 2.0: | |
| https://huggingface.co/convaiinnovations/laya | |
| https://github.com/NandhaKishorM/laya | |
| The shared inference core is adapted from STEAV's published System One fraud | |
| inference implementation (Apache-2.0); its input layout and marker scoring head | |
| follow Laya. This repository downloads the pinned base from its upstream source. | |
| Dino decisions were generated for an experiment using a harness derived from | |
| the Contrastive Language Models T-Rex example. The original game engines, | |
| planners, browser assets, and third-party harness code are not distributed here. | |
| https://github.com/Contrastive-LM/CLM | |