Add pipeline tag, library name, and links to paper and code

Hi! I'm Niels, part of the community science team at Hugging Face.

I've updated the model card to include:
* **Metadata tags**: Added `pipeline_tag: text-generation` and `library_name: transformers` to help users find and use the model correctly via the Hub's automated features.
* **Paper and Code links**: Linked the model to its associated research paper and official GitHub repository for better accessibility.

These changes help make your model more discoverable and easier to use.

README.md

@@ -1,14 +1,19 @@
 ---
-license: mit
 datasets:
 - HuggingFaceTB/smollm-corpus
 language:
 - en
+license: mit
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 # Raw 500M Shared
 
+This model is a baseline model (Raw 500M Shared) presented in the paper [Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks](https://huggingface.co/papers/2601.03448).
 
+- **Code:** [Official GitHub Repository](https://github.com/gucci-j/l2t)
+- **Paper:** [Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks](https://huggingface.co/papers/2601.03448)
 
 ## How to Get Started with the Model
 Use the code below to get started with the model.
@@ -25,7 +30,7 @@ tokenizer = AutoTokenizer.from_pretrained(
 
 
 ## Citation
-```
+```bibtex
 @article{yamaguchi2026enhancinglinguisticcompetencelanguage,
       title={Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks}, 
       author={Atsuki Yamaguchi and Maggie Mi and Nikolaos Aletras},
@@ -37,6 +42,4 @@ tokenizer = AutoTokenizer.from_pretrained(
       journal={arXiv},
       volume={abs/2601.03448}
 }
-```
-
-
+```