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Improve model card: add pipeline tag, library name, tags, description, and links
Verified signatureThis PR significantly enhances the model card for `LISRec-MFilter` by: - Adding `pipeline_tag: text-retrieval` to accurately categorize the model's primary function in sequential recommendation on the Hub. - Specifying `library_name: transformers` to enable the automated "how to use" widget, as evidenced by the `config.json` (`model_type: "t5"`, `transformers_version`) and the use of T5 components as per the GitHub repository. - Adding relevant `tags: [recommendation, sequential-recommendation]` for better discoverability. - Providing a concise yet comprehensive description of the model, summarizing its purpose and key features. - Including a direct link to the paper on Hugging Face Papers: [LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation](https://huggingface.co/papers/2505.22130). - Embedding the model's architectural image from the GitHub repository. - Adding a link to the official [GitHub repository](https://github.com/NEUIR…0737784
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Update README.md
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Update README.md
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