--- license: cc-by-nc-4.0 tags: - geometric deep learning - SE(3) - spatial reasoning - AI geometry ---
# 🎯 GASM Weights ## Geometric Attention for Spatial & Mathematical Understanding [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/) [![Hugging Face Space](https://img.shields.io/badge/🤗%20Hugging%20Face-Space-yellow)](https://huggingface.co/spaces/scheitelpunk/GASM) *Neural architecture for SE(3)-invariant spatial reasoning from natural language*
--- ## 🧠 About GASM **GASM** stands for **Geometric Attention for Spatial & Mathematical Understanding** This repository contains the pretrained model weights used in the live [Hugging Face Space](https://huggingface.co/spaces/scheitelpunk/GASM) to map input text into structured 3D spatial representations. ### 🔬 Technical Components - 🗣️ **NLP**: spaCy-based entity & relation parsing - 📐 **Geometry**: Lie group operations in **SE(3)** space - 🌀 **Optimization**: Riemannian curvature optimization --- ## 📂 Repository Contents | File | Description | |------|-------------| | `gasm_weights.pth` | PyTorch weights file used by the core GASM engine | --- ## 🚀 Quick Start Load the weights into your own pipeline using `huggingface_hub`: ```python from huggingface_hub import hf_hub_download import torch # Download and load weights weights_path = hf_hub_download("scheitelpunk/gasm-weights", "gasm_weights.pth") model.load_state_dict(torch.load(weights_path)) ``` --- ## 📄 License Released under **CC-BY-NC 4.0** - For research and non-commercial use only. All rights reserved, Versino PsiOmega GmbH ### 📚 Citation If you use GASM or its weights, please cite: ```bibtex @misc{gasm2025, title={GASM: Geometric Attention for Spatial Understanding}, author={Michael Neuberger, Versino PsiOmega GmbH}, year={2025}, url={https://huggingface.co/spaces/scheitelpunk/GASM} } ``` --- ## 🔗 Related Repositories - 🔬 **[GASM Space](https://huggingface.co/spaces/scheitelpunk/GASM)** - Live demo - 💻 **[Source Code](https://github.com/scheitelpunk/GASM-Huggingface)** - Implementation ---
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