Create README.md

README.md

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+---
+license: mit
+---
+## 💡 Overview
+
+> *"The soul never thinks without an image." — Aristotle*
+
+**V-Thinker** is a general-purpose multimodal reasoning assistant that enables **Interactive Thinking with Images** through end-to-end reinforcement learning. Unlike traditional vision-language models, V-Thinker actively **interacts** with visual content—editing, annotating, and transforming images to simplify complex problems.
+```bash
+import torch
+import os
+import json
+import argparse
+from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor, AutoConfig, Qwen3VLForConditionalGeneration
+from tqdm import tqdm
+from utils import run_evaluation # Assuming you have this utility function
+MODEL_PATH=""
+
+config = AutoConfig.from_pretrained(MODEL_PATH)
+model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
+    MODEL_PATH,
+    device_map="auto", # "auto" works perfectly with CUDA_VISIBLE_DEVICES
+    config=config
+)
+processor = AutoProcessor.from_pretrained(MODEL_PATH)
+
+question_text = "Question: Hint: Please answer the question and provide the final answer at the end.\nQuestion: How many lines of symmetry does this figure have?\n\n\nPlease provide the final answer in the format <answer>X</answer>"
+image_path = "./224.png"
+    
+    # Construct the full, normalized image pat
+final_assistant_response, final_answer, aux_path = run_evaluation(question_text, image_path, "./", model, processor)
+print("Model Response")
+print(final_answer)
+print("auxiliary path")
+print(final_answer)   
+
+```