VanishD

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Agentic-R1-SD

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This PR significantly improves the model card for VanishD/Agentic-R1 by:

• Adding the pipeline_tag: text-generation to ensure the model appears in relevant searches on the Hub.
• Adding library_name: transformers to enable the automated "How to use" code snippet, as the model is compatible with the transformers library (evidenced by config.json and typical Hugging Face model structure).
• Adding descriptive tags such as qwen2, reasoning, tool-use, and llm for better discoverability.
• Including a direct link to the paper: Agentic-R1: Distilled Dual-Strategy Reasoning.
• Adding a link to the GitHub repository: https://github.com/StigLidu/DualDistill.
• Replacing the placeholder content with a comprehensive description derived from the paper abstract and the GitHub README, including:
  • The paper abstract.
  • Key Features.
  • Datasets.
  • Performance Results.
  • Detailed Quick Start instructions (Installation, Inference Server, and Evaluation scripts) directly from the GitHub README.
  • Information on Trained Models.
  • Important Notes, License, Acknowledgments, and Contact details.
  • The academic citation.

Note: A Python inference code snippet was not added to the "Quick Start" section as it was not explicitly found in the provided GitHub README, in strict adherence to the instructions.