Improve model card with metadata and links

This PR improves the model card by adding the `library_name` and `pipeline_tag` metadata, and includes links to the paper, project page, and GitHub repository for easier access to the research and code. The `pipeline_tag` is set to `text-generation` as the model generates text.

README.md

@@ -1,3 +1,12 @@
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-license: mit
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+---
+license: mit
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+This repository contains the R1-Code-Interpreter models described in [R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning](https://huggingface.co/papers/2505.21668).
+
+Our code is based on [Llama-factory](https://github.com/hiyouga/LLaMA-Factory)/[VeRL](https://github.com/volcengine/verl)/[Search-R1](https://github.com/PeterGriffinJin/Search-R1?tab=readme-ov-file) for the SFT and RL training and [SymBench](https://github.com/yongchao98/CodeSteer-v1.0/tree/main)/[BIG-Bench-Hard](https://github.com/yongchao98/R1-Code-Interpreter/tree/main)/[reasoning-gym](https://github.com/open-thought/reasoning-gym) for datasets/benchmarks of reasoning/planning tasks.
+
+Project page: https://huggingface.co/yongchao98
+Code: https://github.com/yongchao98/R1-Code-Interpreter