初始化项目，由ModelHub XC社区提供模型

Model: miniHui/Geo-R1
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
+pipeline_tag: image-text-to-text
+license: mit
+---
+
+# Geo-R1: Unlocking VLM Geospatial Reasoning with Cross-View Reinforcement Learning
+
+This repository contains the Geo-R1 model, a reasoning-centric post-training framework that unlocks geospatial reasoning in vision-language models, as introduced in the paper:
+
+[**Geo-R1: Unlocking VLM Geospatial Reasoning with Cross-View Reinforcement Learning**](https://huggingface.co/papers/2510.00072)
+
+Geo-R1 combines "thinking scaffolding" (supervised fine-tuning on synthetic chain-of-thought exemplars) and an "elevating" stage using GRPO-based reinforcement learning on a weakly-supervised cross-view pairing proxy. This approach enables models to connect visual cues with geographic priors and harness reasoning for accurate prediction, achieving state-of-the-art performance across various geospatial reasoning benchmarks.