Legal Summarizer

🚀 Legal Document Summarizer

This model is designed to summarize large legal documents such as constitutions and finance bills. It simplifies complex legal language, making it more accessible to non - experts.

🚀 Quick Start

This model is fine - tuned from t5 - base to handle legal document summarization. You can quickly start using it with the provided code example.

✨ Features

• Fine - tuned from t5 - base for legal document summarization.
• Simplifies complex legal language for non - experts.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

from transformers import T5Tokenizer, T5ForConditionalGeneration

tokenizer = T5Tokenizer.from_pretrained("VincentMuriuki/legal-summarizer")
model = T5ForConditionalGeneration.from_pretrained("VincentMuriuki/legal-summarizer")

text = "Your long legal document here..."
inputs = tokenizer("summarize: " + text, return_tensors="pt", max_length=1024, truncation=True)
summary_ids = model.generate(inputs["input_ids"], max_length=150, min_length=50, length_penalty=2.0, num_beams=4, early_stopping=True)

summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
print(summary)

📚 Documentation

Training Data

The model was trained on a custom dataset of legal documents and their corresponding summaries.

Intended Use

• Task: Legal document summarization.
• Target audience: Legal professionals, researchers, and non - experts who need quick summaries of complex legal texts.
• Input: A long legal document.
• Output: A concise, simplified summary.

📄 License

This project is licensed under the apache - 2.0 license.