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Transformer Summarizer (Fine-Tuning + HuggingFace + Tutorial)

Overview

This project uses the T5 small model 🧠 for summarization. All the detailed instructions required for the following steps are included in the accompanying Jupyter Notebook πŸ““:

1. Model Generation

  • Instructions for generating the T5 small model 🧠.

2. Fetching Data

  • Steps to fetch and preprocess the data for model training and summarization tasks πŸ“Š.

3. Setting Up a Hugging Face Account

  • Guidance on creating and configuring a Hugging Face account πŸ€— to access and use the model.

Please refer to the provided Jupyter Notebook πŸ““ for step-by-step instructions and code examples. The notebook covers everything you need to get started with model generation, data fetching, and Hugging Face account setup.

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Using T5-Small and fine-tuning it using BBC's article summarization dataset.

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