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