vision transformers spain or italy fan

Introduction

The Vision-Transformers-Spain-or-Italy-Fan model is an image classification model designed to distinguish between images of soccer fans from Spain and Italy. It was autogenerated using HuggingPics, a tool for creating image classifiers.

Architecture

This model is based on Vision Transformers (ViT) and is implemented in PyTorch, utilizing the capabilities of the Hugging Face Transformers library. The model is optimized for image classification tasks, focusing on identifying national soccer fan images.

Training

The model has been trained using image classification techniques with a focus on accuracy. The training process involved evaluating the model's performance through metrics such as accuracy, which reached a value of 0.5667. The training metrics can be visualized using TensorBoard.

Guide: Running Locally

To run this model locally:

1. Clone the repository from Hugging Face Hub.
2. Install the necessary dependencies, including PyTorch and Transformers.
3. Load the model and prepare your dataset of images for classification.
4. Execute the model on your dataset to classify images as either Spain or Italy soccer fans.

For enhanced performance, it is recommended to use cloud GPUs such as those available on Google Colab or AWS.

License

The project is hosted on Hugging Face and is subject to the platform's licensing agreements. Users should refer to the HuggingPics GitHub repository for specific licensing details and usage guidelines.