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Indot5 Base

Developed by Wikidepia
T5 (Text-to-Text Transfer Transformer) base model pretrained on Indonesian mC4 dataset, requires fine-tuning for use
Downloads 635
Release Time : 3/2/2022

Model Overview

This is a pretrained language model based on the T5 architecture, specifically designed for Indonesian text processing tasks. The model is trained on a large-scale Indonesian corpus and is suitable for various natural language processing tasks, but requires fine-tuning for specific scenarios.

Model Features

Indonesian Optimization
Specifically pretrained for Indonesian, delivering superior performance in Indonesian text processing tasks
T5 Architecture
Utilizes Google's T5 text-to-text transfer architecture to uniformly handle various NLP tasks
Large-scale Pretraining
Trained for 1 million steps on filtered Indonesian mC4 dataset, learning rich linguistic features

Model Capabilities

Text Generation
Text Conversion
Language Understanding
Text Summarization

Use Cases

Natural Language Processing
Machine Translation
Can be used to build translation systems between Indonesian and other languages
Text Summarization
Suitable for automatic summarization of Indonesian documents
Question Answering System
Can serve as a base model for Indonesian question answering systems
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