Here's how the README file for your `surya-ocr-arabic` model could look:

---

# Surya OCR Arabic

This repository contains the `surya-ocr-arabic` model, which is based on a modified SegFormer architecture. The model was fine-tuned for document layout detection tasks.


## Setup Instructions

### Clone the Surya OCR GitHub Repository

To use the `SegformerForRegressionMask` class, you need to clone the Surya OCR GitHub repository:

```bash
git clone https://github.com/vikp/surya_.git
cd surya
```

### Switch to v0.4.14

```bash
git checkout f7c6c04
```

### Install Dependencies

You can install the required dependencies using the following command:

```bash
pip install -r requirements.txt
```

### Import and Use the Model

You can load and use the `surya-ocr-arabic` model as follows:

```python
from surya.surya.model.detection.segformer import SegformerForRegressionMask
import torch

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = SegformerForRegressionMask.from_pretrained("ketanmore/surya-ocr-arabic-segment", torch_dtype=torch.float32).to(device)
```