Improve model card: Add pipeline_tag, library_name, and paper link
Browse filesThis PR enhances the model card by:
- Adding `pipeline_tag: text-generation` to improve discoverability on the Hub for LLM-based models.
- Adding `library_name: transformers` as the `config.json` indicates compatibility with the Transformers library, enabling an automated "How to use" code snippet.
- Adding an explicit text link to the Hugging Face paper page after the introductory sentence, making the primary paper reference more prominent. The existing arXiv badge link remains unchanged.
These changes make the model card more informative and user-friendly for the community.
README.md
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license: apache-2.0
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---
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<div align="center">
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# MATPO: Multi-Agent Tool-Integrated Policy Optimization
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Train Multiple Agent Roles Within a Single LLM via Reinforcement Learning.
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<!-- [](https://arxiv.org/pdf/2510.04678)
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[](LICENSE)
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[](https://www.python.org/downloads/)
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---
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license: apache-2.0
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pipeline_tag: text-generation
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library_name: transformers
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---
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<div align="center">
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# MATPO: Multi-Agent Tool-Integrated Policy Optimization
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Train Multiple Agent Roles Within a Single LLM via Reinforcement Learning.
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This model is presented in the paper [Multi-Agent Tool-Integrated Policy Optimization](https://huggingface.co/papers/2510.04678).
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<!-- [](https://arxiv.org/pdf/2510.04678)
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[](LICENSE)
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[](https://www.python.org/downloads/)
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