Add pipeline tag and link to paper

README.md

@@ -1,32 +1,28 @@
 ---
+library_name: pytorch
 license: mit
+pipeline_tag: feature-extraction
 tags:
-  - eeg
-  - tokenizer
-  - time-frequency
-  - vq-vae
-  - transformer
-  - single-channel-eeg
-  - iclr2026
-library_name: pytorch
+- eeg
+- tokenizer
+- time-frequency
+- vq-vae
+- transformer
+- single-channel-eeg
+- iclr2026
 ---
 
 # Tokenizing Single-Channel EEG with Time-Frequency Motif Learning - ICLR 2026
 
-<!-- <p align="center">
-  <a href="https://openreview.net/forum?id=2sPmWHZ8Ir"><img src="https://img.shields.io/badge/ICLR%202026-Paper-blue" alt="Paper"></a>
-  <a href="https://github.com/Jathurshan0330/TFM-Tokenizer"><img src="https://img.shields.io/badge/GitHub-Code-black?logo=github" alt="GitHub"></a>
-  <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License: MIT"></a>
-</p> -->
-
 [![ICLR 2026](https://img.shields.io/badge/ICLR%202026-Paper-blue)](https://openreview.net/forum?id=2sPmWHZ8Ir)
-[![arXiv](https://img.shields.io/badge/arXiv-2601.22197-b31b1b.svg)](https://arxiv.org/abs/2502.16060)
+[![arXiv](https://img.shields.io/badge/arXiv-2502.16060-b31b1b.svg)](https://arxiv.org/abs/2502.16060)
+[![Hugging Face Paper](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-blue)](https://huggingface.co/papers/2502.16060)
 [![Poster](https://img.shields.io/badge/Poster-PDF-F5A623.svg)](https://drive.google.com/file/d/18k5CoJAGzRWAsqs8-qSltVTNkp5rMnBx/view?usp=sharing)
 [![GitHub](https://img.shields.io/badge/GitHub-Code-black?logo=github)](https://github.com/Jathurshan0330/TFM-Tokenizer)
 [![Slides](https://img.shields.io/badge/Slides-PDF-F5A623.svg)](https://drive.google.com/file/d/1za78WIW4wY9kD_TQtehQCzUTIW4CRYx-/view?usp=sharing)
 [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
 
-Official pretrained and finetuned weights for [**Tokenizing Single-Channel EEG with Time-Frequency Motif Learning**](https://openreview.net/forum?id=2sPmWHZ8Ir), published at **ICLR 2026**.
+Official pretrained and finetuned weights for [**Tokenizing Single-Channel EEG with Time-Frequency Motif Learning**](https://huggingface.co/papers/2502.16060), published at **ICLR 2026**.
 
 ## Repository Structure
 
@@ -156,4 +152,4 @@ booktitle={The Fourteenth International Conference on Learning Representations},
 year={2026},
 url={https://openreview.net/forum?id=2sPmWHZ8Ir}
 }
-```
+```