Improve model card: Correct pipeline tag and add paper/Github links

This PR improves the model card by:

- Correcting the `pipeline_tag` to `text-classification`, which accurately reflects the model's function as a task complexity scorer.
- Adding a link to the paper: [PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://huggingface.co/papers/2404.02948)
- Adding a link to the Github repository.

These changes enhance the model card's clarity and provide users with more context and access to related resources.

README.md

@@ -1,16 +1,18 @@
 ---
-library_name: transformers
-license: apache-2.0
-language:
-- en
 base_model:
 - answerdotai/ModernBERT-large
+language:
+- en
+library_name: transformers
+license: apache-2.0
 pipeline_tag: text-classification
 author: Shreyan C (@thethinkmachine)
 ---
 
 # Maxwell Task Complexity Scorer-v0.2
 
+This repository contains the model from the [PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://huggingface.co/papers/2404.02948) paper.
+
 Maxwell-TCS-v0.2 is a task/instruction complexity score annotator based on the ModernBERT-Large and trained on a large dataset of English instructions. It is designed to be fast, efficient and accurate for scoring/annotation related tasks.
 ## Model Details
 
@@ -24,6 +26,7 @@ Maxwell-TCS can be used in a variety of downstreaming tasks such as prompt diffi
 - **Model type:** Bidirectional Encoder Representations from Transformers, based on the ModernBERT-Large architecture.
 - **Language(s) (NLP):** English (en)
 - **License:** Apache License, Version 2.0
+- **Code:** [https://github.com/thethinkmachine/Maxwell-Task-Complexity-Scorer](https://github.com/thethinkmachine/Maxwell-Task-Complexity-Scorer)
 - **Finetuned from model**: ModernBERT-Large
 
 ### Recommendations
@@ -157,6 +160,6 @@ For any queries, suggestions or feedback, please contact Shreyan C at *shreyan(a
 ## References
 
 - [[2312.15685] What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning](https://arxiv.org/abs/2312.15685)
-- [[2404.02948] PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://arxiv.org/abs/2404.02948)
+- [[2404.02948] PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://huggingface.co/papers/2404.02948)
 - [DEITA-Complexity](https://huggingface.co/datasets/BhabhaAI/DEITA-Complexity)
 - [ModernBERT-Large](https://huggingface.co/answerdotai/ModernBERT-large)