Introduction to Llama 2 in Google Colab 🌟

🦙 Welcome to this beginner's guide on using the Llama 2 model in Google Colab! 🖥️

This project provides a step-by-step walkthrough of how to set up, authenticate, and use Llama 2 for text generation tasks within the Google Colab environment.

Features ✨

• Step-by-Step Instructions: Clear and concise instructions to guide you through the entire process.
• Authentication: Learn how to authenticate with Hugging Face to access Llama 2.
• Model Loading: Understand how to load the Llama 2 model and tokenizer using the transformers library.
• GPU Usage: Optimize performance by utilizing Google Colab's GPU capabilities.
• Text Generation: Explore text generation using various prompts and parameters.
• Arabic Language Support: Experiment with generating text in Arabic, but be mindful of limitations.
• Example Code: Copy and paste ready-to-run code snippets to get started quickly.

Getting Started 🚀

1. Open the Google Colab notebook provided.
2. Follow the instructions in each section to set up your environment.
3. Execute the code cells to install libraries, authenticate, load the model, and generate text.
4. Customize the prompts and parameters to explore different text generation possibilities.

Author 🧑‍💻

Khaled Soudy

Acknowledgments 🙏

• Meta AI: For developing the powerful Llama 2 language model.
• Hugging Face: For providing access to pre-trained models and the transformers library.
• Google Colab: For offering a free and accessible platform for running large models.

Disclaimer ⚠️

While Llama 2 has impressive text generation abilities, it's essential to be aware of its limitations, especially when working with languages other than English. For optimal results, consider using specialized language models or fine-tuning Llama 2 on your target language dataset.

License 📜

This project is licensed under the MIT License.

Have Fun! 🎉

Enjoy exploring the world of natural language processing with Llama 2 and Google Colab!