Add pipeline tag and library name

This PR improves the model card by adding the `pipeline_tag` and `library_name`, making the model easier to find and providing key information about its usage. It also includes a link to the paper.

README.md

@@ -3,10 +3,12 @@ datasets:
 - scailab/hyper-navier-stokes-64-1000
 language:
 - en
+library_name: pytorch
+pipeline_tag: time-series-forecasting
 ---
 
 # HyPER Model Checkpoints
 
-We provide pytorch model checkpoints for the ICML 2025 paper **Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout**.
+We provide pytorch model checkpoints for the ICML 2025 paper **Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout** ([https://huggingface.co/papers/2503.10048](https://huggingface.co/papers/2503.10048)).
 
-Please see https://github.com/scailab/HyPER for our code and instructions to train and evaluate these models.
+Please see https://github.com/scailab/HyPER for our code and instructions to train and evaluate these models.