Update pipeline tag, add specific tags, and refine citation

README.md

@@ -1,7 +1,12 @@
 ---
-license: mit
 library_name: transformers
-pipeline_tag: feature-extraction
+license: mit
+pipeline_tag: text-classification
+tags:
+  - peptide
+  - protein
+  - bioinformatics
+  - biology
 ---
 
 # PDeepPP: A Comprehensive Protein Language Model Hub
@@ -10,7 +15,7 @@ This repository contains the model as presented in [A general language model for
 
 PDeepPP is a hybrid protein language model designed to predict post-translational modification (PTM) sites, analyze biologically relevant features, and support a wide range of protein sequence analysis tasks. This repository serves as the central hub for accessing and exploring various specialized PDeepPP models, each fine-tuned for specific tasks, such as PTM site prediction, bioactivity analysis, and more.
 
-The models in this repository can all be used on their corresponding datasets on GitHub ([https://github.com/fondress/PDeepPP/tree/main])
+The models in this repository can all be used on their corresponding datasets on GitHub ([https://github.com/fondress/PDeepPP])
 
 ---
 
@@ -27,7 +32,7 @@ This repository contains links to multiple task-specific PDeepPP models. These m
 - **Flexible Architecture**: Combines self-attention and convolutional operations for robust feature extraction.
 - **Task-Specific Models**: Includes pre-trained models for PTM prediction, bioactivity classification, and more.
 - **Dataset Support**: Models are validated on datasets such as PTM and BPS, ensuring performance on real-world tasks.
-- **Extensibility**: Users can fine-tune the models on custom datasets for new tasks.
+- **Extensibility**: Users can fine-tune the model on custom datasets for new tasks.
 
 ---
 
@@ -120,12 +125,13 @@ Refer to the `PDeepPPConfig` class in the source repository for details on avail
 
  If you use any of the PDeepPP models in your research, please cite the associated paper:
 
-```
-@article{your_reference,
+```bibtex
+@article{pdeeppp2025peptide,
   title={A general language model for peptide identification},
-  author={Author Name},
-  journal={Journal Name},
-  year={2025}
+  author={{PDeepPP Authors}},
+  journal={arXiv preprint arXiv:2502.15610},
+  year={2025},
+  url={https://arxiv.org/abs/2502.15610}
 }
 ```