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---
license: apache-2.0
language:
- en
metrics:
- spearmanr
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>
</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")
``` |