Add pipeline tag, library name, and improve paper links in model card

This PR enhances the model card by:
- Adding the `pipeline_tag: feature-extraction` to correctly categorize the model for embedding generation, improving its discoverability on the Hugging Face Hub.
- Adding `library_name: transformers`, as the model is compatible with the `transformers` library, which will enable the automated "How to use" widget on the model page with a `transformers` code snippet.
- Improving the paper link section to include a direct link to the Hugging Face paper page for [EasyRec: Simple yet Effective Language Models for Recommendation](https://huggingface.co/papers/2408.08821), alongside the existing arXiv link.

These additions will improve the discoverability, usability, and completeness of the model's documentation on the Hugging Face Hub.

README.md

@@ -1,10 +1,12 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
 tags:
 - recommendation
 - collaborative filtering
+pipeline_tag: feature-extraction
+library_name: transformers
 ---
 
 # EasyRec-Small
@@ -16,7 +18,7 @@ tags:
 - **Evaluation**: We evaluate the performance of EasyRec in: (i) Text-based zero-shot recommendation and (ii) Text-enhanced collaborative filtering.
 - **Finetuned from model:** EasyRec is finetuned from [RoBERTa](https://huggingface.co/FacebookAI/roberta-large) within English.
 
-For details please refer to our [💻[GitHub Code](https://github.com/HKUDS/EasyRec)] and [📖[Paper](https://arxiv.org/abs/2408.08821)].
+For details please refer to our [\ud83d\udcd6 Paper (Hugging Face)](https://huggingface.co/papers/2408.08821) | [\ud83d\udcd6 Paper (arXiv)](https://arxiv.org/abs/2408.08821) | [\ud83d\udcbb GitHub Code](https://github.com/HKUDS/EasyRec).
 
 ## Get Started
 
@@ -78,7 +80,7 @@ We release a series of EasyRec checkpoints with varying sizes. You can easily lo
 | [hkuds/easyrec-roberta-base](https://huggingface.co/hkuds/easyrec-roberta-base)   |  125M  | 0.0518  |
 | [hkuds/easyrec-roberta-large](https://huggingface.co/hkuds/easyrec-roberta-large) |  355M  | 0.0557  |
 
-## 🌟 Citation
+## \ud83c\udf1f Citation
 If you find this work is helpful to your research, please consider citing our paper:
 ```bibtex
 @article{ren2024easyrec,