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Summarisation Model

Developed by Saravanankumaran
This is a T5 text summarization model fine-tuned on the SAMSum dataset, suitable for dialogue and conversation summarization tasks.
Downloads 16
Release Time : 2/25/2025

Model Overview

The model uses the T5-base architecture fine-tuned on the SAMSum dataset, specifically designed for generating summaries of dialogue text. It employs mixed-precision (fp16) training to optimize memory efficiency.

Model Features

Dialogue Summarization Optimization
Specially optimized for dialogue and conversational text, effectively extracting key points from conversations.
Efficient Training
Uses mixed-precision (fp16) training to optimize memory usage efficiency.
Easy Integration
Based on the Hugging Face Transformers framework, making it easy to integrate into various NLP applications.

Model Capabilities

Dialogue Text Summarization
Conversation Content Refinement
Key Information Extraction

Use Cases

Dialogue Analysis
Meeting Minutes Summary
Automatically generates key summaries from meeting dialogues.
Quickly captures the core content of meeting discussions.
Customer Service Dialogue Summary
Extracts key issues and solutions from customer service conversations.
Helps quickly understand customer needs and resolution status.
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