VIT Model for Eye Movement Authentication

I need a Transformer VIT model to build a high-accuracy biometric authentication using eyemovement system for user identification. The system will use the TEyeD dataset.

Requirements:
- load the dataset
- preprocess the data
- Utilize a pre-trained Transformer VIT model
- Focus on eye movement data for user identification
- Achieve high accuracy in authentication

Ideal Skills:
- Expertise in Transformer models and VIT
- Experience with biometric authentication systems
- Proficiency in handling and processing the TEyeD dataset
- Strong background in machine learning and computer vision

Please provide relevant experience and a brief plan to achieve the desired accuracy.