Update README.md

README.md

@@ -7,4 +7,37 @@ metrics:
 base_model:
 - google-bert/bert-base-uncased
 pipeline_tag: sentence-similarity
----
+---
+
+# Model Card for GCSE
+
+<p align="center">
+    <p align="center">
+        <a href="https://github.com/aleversn/GCSE">
+            <img alt="Static Badge" src="https://img.shields.io/badge/GCSE-black?logo=github">
+        </a>
+        <a href="https://github.com/aleversn/GCSE">
+            <img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/aleversn/GCSE?logo=github&style=flat">
+        </a>
+    </p>
+</p>
+
+[Model](https://huggingface.co/aleversn/GCSE-BERT-base/) | [Paper](https://arxiv.org/abs/2409.12887) | [Code](https://github.com/aleversn/GCSE)
+
+### Model Checkpoints
+
+We release our model checkpoints in huggingface as listed below:
+| Model                                                                             | Avg. STS |
+| :-------------------------------------------------------------------------------- | :------: |
+| [aleversn/GCSE-BERT-base](https://huggingface.co/aleversn/GCSE-BERT-base)         |  81.98   |
+| [aleversn/GCSE-BERT-large](https://huggingface.co/aleversn/GCSE-BERT-large)       |  83.07   |
+| [aleversn/GCSE-RoBERTa-base](https://huggingface.co/aleversn/GCSE-RoBERTa-base)   |  82.12   |
+| [aleversn/GCSE-RoBERTa-large](https://huggingface.co/aleversn/GCSE-RoBERTa-large) |  83.82   |
+
+### Usage
+
+```python
+from transformers import AutoTokenizer, AutoModel
+tokenizer = AutoTokenizer.from_pretrained("aleversn/GCSE-BERT-base")
+model = AutoModel.from_pretrained("aleversn/GCSE-BERT-base")
+```