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license: mit |
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--- |
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## 💡 Overview |
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> *"The soul never thinks without an image." — Aristotle* |
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**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. |
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```bash |
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import torch |
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import os |
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import json |
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import argparse |
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from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor, AutoConfig, Qwen3VLForConditionalGeneration |
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from tqdm import tqdm |
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from utils import run_evaluation # Assuming you have this utility function |
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MODEL_PATH="" |
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config = AutoConfig.from_pretrained(MODEL_PATH) |
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model = Qwen2_5_VLForConditionalGeneration.from_pretrained( |
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MODEL_PATH, |
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device_map="auto", # "auto" works perfectly with CUDA_VISIBLE_DEVICES |
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config=config |
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) |
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processor = AutoProcessor.from_pretrained(MODEL_PATH) |
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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>" |
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image_path = "./224.png" |
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# Construct the full, normalized image pat |
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final_assistant_response, final_answer, aux_path = run_evaluation(question_text, image_path, "./", model, processor) |
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print("Model Response") |
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print(final_answer) |
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print("auxiliary path") |
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print(final_answer) |
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``` |
