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Indot5 Base
I
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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