Improve model card: Add pipeline tag, library name, paper and code links (#1)

- Improve model card: Add pipeline tag, library name, paper and code links (e28d411855797619eea03d3366dd686029ede847)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,14 +1,20 @@
 ---
-license: mit
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
 datasets:
 - RenlyH/CodeV-RL-Data
 language:
 - en
 - zh
+license: mit
 metrics:
 - accuracy
-base_model:
-- Qwen/Qwen2.5-VL-7B-Instruct
+pipeline_tag: image-text-to-text
+library_name: transformers
 ---
 
-The model CodeV is trained with TAPO described in [paper](https://arxiv.org/abs/2511.19661).
+CodeV is a code-based visual agent trained with Tool-Aware Policy Optimization (TAPO) for faithful visual reasoning. This agentic vision-language model is designed to "think with images" by calling image operations, addressing unfaithful visual reasoning in prior models. CodeV achieves competitive accuracy and substantially increases faithful tool-use rates on visual search benchmarks, also demonstrating strong performance on multimodal reasoning and math benchmarks.
+
+This model was presented in the paper [CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization](https://huggingface.co/papers/2511.19661).
+
+Code: https://github.com/RenlyH/CodeV