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Tiny Roberta Indonesia
T
Tiny Roberta Indonesia
Developed by akahana
This is a small RoBERTa model based on Indonesian language, specifically optimized for Indonesian text processing tasks.
Downloads 17
Release Time : 3/2/2022
Model Overview
This model is an Indonesian pre-trained language model based on the RoBERTa architecture, primarily used for Indonesian text understanding and generation tasks.
Model Features
Indonesian Language Optimization
Specifically pre-trained and optimized for Indonesian language
Compact Architecture
Adopts a tiny RoBERTa architecture, suitable for resource-constrained environments
Masked Language Modeling
Supports masked token prediction tasks in text
Model Capabilities
Indonesian Text Understanding
Masked Token Prediction
Text Feature Extraction
Use Cases
Natural Language Processing
Indonesian Text Completion
Predict masked words in Indonesian text
Indonesian Text Feature Extraction
Provide text representations for downstream NLP tasks
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