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Improve model card: Add pipeline tag, language, paper, project, code, and usage
Verified signatureThis PR significantly enhances the model card for `vulnerability-severity-classification-chinese-macbert-base` by: * Adding `pipeline_tag: text-classification` and `language: zh` to the metadata for improved discoverability and accurate filtering on the Hugging Face Hub. * Including more descriptive `tags` such as `text-classification`, `classification`, `nlp`, `chinese`, and `vulnerability`. * Updating the main title to `VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity Classification` to align with the associated research paper. * Adding a clear description of the model based on the paper's abstract. * Providing direct links to the paper ([VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity Classification](https://huggingface.co/papers/2507.03607)), the project page (`https://vulnerability.circl.lu`), and the associated GitHub repository (`https://github.com/vulnerability-lookup/ML-Gateway`). * Adding a practical Python sample usage snippet us…ba9573a
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