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TriP-LLM

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This PR enhances the model card for TriP-LLM by adding crucial metadata, including:

• pipeline_tag: time-series-forecasting
• library_name: pytorch
• license: other (as no specific license was provided in the context)
• Additional tags: time-series, anomaly-detection, LLM
• datasets: NIPS-TS-SWAN, MSL, SMD, SWaT, PSM

Furthermore, a direct link to the Hugging Face paper page (TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection) has been added.

The "Usage" section has been updated to include installation steps and a sample code snippet for reproducing the main experiments, as found in the GitHub README, to provide users with immediate instructions on how to run the model.