AgentFlow

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agentflow-planner-7b

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This PR significantly enhances the model card for the AgentFlow model by:

• Updating the YAML metadata with:
  • library_name: transformers (confirmed by config.json for Qwen2ForCausalLM architecture).
  • pipeline_tag: text-generation for better discoverability.
  • license: apache-2.0 (as consistently identified by colleagues).
  • language: en to indicate the model's operational language.
  • base_model: Qwen/Qwen2-7B-Instruct to specify the backbone model.
  • Relevant tags including llm, agent, tool-use, planning, qwen2, and reinforcement-learning.
• Populating the model card content with a detailed description derived from the paper abstract and the GitHub repository's key features and motivations.
• Adding direct links to the paper, project page, GitHub repository, and Hugging Face demo.
• Including key features, experimental results (with images from the GitHub README), and a practical Python sample usage snippet directly from the GitHub repository.
• Filling in sections like "Uses", "Bias, Risks, and Limitations", "Training Details", and "Evaluation" with available information.
• Retaining the original model card's structure where appropriate and removing "More Information Needed" placeholders where content could be provided.
• Adding the full BibTeX citation and acknowledgements from the GitHub README.

Please review and merge if these updates are accurate and helpful.