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Indot5 Small
I
Indot5 Small
Developed by Wikidepia
A T5-small model pretrained on the Indonesian mC4 dataset, requires fine-tuning before use
Downloads 83
Release Time : 3/2/2022
Model Overview
This is a text-to-text Transformer model pretrained on the Indonesian mC4 dataset, using the T5-v1.1-small architecture, which requires fine-tuning for specific tasks.
Model Features
Indonesian Optimization
Specifically trained and optimized for the Indonesian mC4 dataset
T5 Architecture
Uses Google's T5-v1.1-small architecture, suitable for text conversion tasks
Pretrained Foundation
Provides pretrained weights as a starting point for downstream tasks
Model Capabilities
Text Conversion
Text Generation
Text Understanding
Use Cases
Natural Language Processing
Machine Translation
Can be used for translation tasks between Indonesian and other languages
Requires fine-tuning for evaluation
Text Summarization
Suitable for generating summaries of Indonesian texts
Requires fine-tuning for evaluation
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