T5 Arabic Base

🚀 Arabic T5 Base Model

A customized T5 model designed for Arabic and English tasks. It serves as a more compact alternative to the google/mt5-base model, specifically tailored for tasks involving Arabic and English.

🚀 Quick Start

The Arabic T5 Base Model is a customized solution for Arabic and English tasks. It offers a smaller footprint compared to google/mt5-base and focuses specifically on these two languages.

✨ Features

• Customized for Arabic and English: Tailored to perform well on tasks involving these two languages.
• Compact Size: A smaller alternative to google/mt5-base, making it more resource - efficient.

📦 Installation

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💻 Usage Examples

No code examples were provided in the original document, so this section is skipped.

📚 Documentation

About T5

T5 is an encoder - decoder model pre - trained on a multi - task mixture of unsupervised and supervised tasks and for which each task is converted into a text - to - text format.

The T5 model was presented in Exploring the Limits of Transfer Learning with a Unified Text - to - Text Transformer by Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu.

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🔧 Technical Details

No technical implementation details were provided in the original document, so this section is skipped.

📄 License