Update README.md

README.md

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+# Mask2Former for Semantic Segmentation
+
+This repository contains the `Mask2Former` model fine-tuned for semantic segmentation tasks. The model can be used to predict segmentation masks on input images and is based on the `facebook/mask2former-swin-large-cityscapes-semantic` pre-trained model.
+
+## Model Overview
+Mask2Former is a general-purpose framework for mask prediction tasks, including:
+- Semantic Segmentation
+- Instance Segmentation
+- Panoptic Segmentation
+
+This version has been fine-tuned and optimized for semantic segmentation tasks. You can use it for tasks such as road scene understanding, autonomous driving, and other segmentation-related applications.
+
+---
+
+## How to Use the Model
+
+You can use this model with the `transformers` library from Hugging Face. Below is an example to load the model, process an image, and visualize the output.
+
+### Installation
+First, ensure you have the required libraries installed:
+```bash
+pip install transformers torch torchvision pillow matplotlib
+
 
 
 ### How to use