Improve model card: add metadata, paper/GitHub links, performance, and usage

#1
by nielsr HF Staff - opened

This PR significantly enhances the model card for DOCR-Inspector-7B by:

  • Updating the license to cc-by-nc-sa-4.0, as specified in the project's GitHub repository.
  • Adding pipeline_tag: image-text-to-text to accurately categorize the model on the Hub.
  • Specifying library_name: transformers to indicate compatibility with the Hugging Face Transformers library and enable the automated code snippet.
  • Including a direct link to the paper: DOCR-Inspector: Fine-Grained and Automated Evaluation of Document Parsing with VLM.
  • Adding a link to the official GitHub repository: https://github.com/ZZZZZQT/DOCR-Inspector.
  • Expanding the model description with an introduction and key features from the GitHub README.
  • Integrating details about the DOCRcase-200K and DOCRcaseBench datasets.
  • Adding the comprehensive performance evaluation table.
  • Including usage instructions, specifically the vLLM inference command as found in the GitHub README.
  • Adding the correct BibTeX citation for proper attribution.

Please review and merge this PR if everything looks good.

ZQTTTT changed pull request status to merged

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