| --- |
| 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) |
| |
| ``` |
