Instructions to use gdelatournelle/laya-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use gdelatournelle/laya-onnx 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
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Download GROK.md from gdelatournelle/laya-onnx: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/gdelatournelle/laya-onnx/resolve/main/GROK.md
- Command line
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hf download hf://gdelatournelle/laya-onnx/GROK.md
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curl -L -o GROK.md https://huggingface.co/gdelatournelle/laya-onnx/resolve/main/GROK.md
391 Bytes
Grok snapshot
This tree is the Grok-maintained ONNX Runtime port of Laya (KayrosLab / Geoking2104).
- Runtime:
laya_onnx/agent.py(InferenceSession, cpu / openvino / cuda) - Export:
laya_onnx/convert.py(torch → ONNX opset 17) - Demo: https://raw.githack.com/Geoking2104/laya-onnx/main/examples/snake.html
- Onboard:
ONBOARD.md
Do not commit .venv or Hub weights.