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README.md

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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+---
+
+
+# CPRetriever-Prob
+
+**CPRetriever-Prob** is a sentence embedding model trained for competitive programming problem retrieval.
+
+This model can be directly used via the `sentence-transformers` library.
+
+Visit https://cpret.online/ to try out **CPRet** in action for competitive programming problem retrieval — powered by the **CPRetriever-Prob** model.
+
+## 🔧 Usage
+
+```python
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer("coldchair16/CPRetriever-Prob-Qwen3-4B-2510")
+embeddings = model.encode([
+    "Given a sequence of n numbers, answer m range mex queries.",
+    "求一个长度为 n 的数列的区间 mex。"
+])
+```
+
+## 💡 Applications
+
+This model powers the retrieval demo in [CPRet](https://github.com/coldchair/CPRet), supporting several practical use cases:
+
+* It can assist in **duplicate problem detection** by retrieving potentially similar problems — final identification still requires manual verification.
+* It also supports **similar problem retrieval** to help broaden your problem-solving perspective.
+* You can input either a **full problem description** or a **simplified version**, and the system will return the most relevant existing problems.
+
+## 📚 Training and Evaluation
+
+For training pipeline, evaluation benchmark, and retrieval demo, please refer to the full codebase:
+👉 [CPRet on GitHub](https://github.com/coldchair/CPRet?tab=readme-ov-file)
+
+## 📦 Model Card
+
+* Architecture: `Qwen/Qwen3-Embedding-4B` (encoder backbone)
+* Tasks: Contrastive pretraining + task-specific fine-tuning on programming problem pairs
+* Format: Compatible with `sentence-transformers`
+
+