Add library name and pipeline tag to metadata

This PR adds the `library_name` and `pipeline_tag` to the model card metadata. The `library_name` is set to `transformers` because the model is a Llama model and can be loaded using the Transformers library. The `pipeline_tag` is set to `text-generation` because the model is used for text generation.

README.md

@@ -1,13 +1,16 @@
 ---
 base_model:
 - princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
-license: apache-2.0
-language:
-- en
 datasets:
 - chtmp223/CLIPPER
+language:
+- en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
+```markdown
 # ProLong-512k-8B-CLIPPER
 ProLong-512k-8B-CLIPPER is a fine-tuned version of princeton-nlp/Llama-3-8B-ProLong-512k-Instruct using supervised finetuning over chtmp223/CLIPPER dataset. 
 Please check [our paper](https://arxiv.org/abs/2502.14854) for more details on the method.