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Indobert Lite Base P2

Developed by indobenchmark
IndoBERT is a top-tier language model developed for Indonesian, based on the BERT architecture, trained using masked language modeling and next sentence prediction objectives.
Downloads 2,498
Release Time : 3/2/2022

Model Overview

IndoBERT-Lite is a lightweight version of IndoBERT, specifically optimized for Indonesian, suitable for natural language understanding tasks.

Model Features

Lightweight Design
Fewer model parameters, suitable for resource-constrained environments.
Indonesian Optimization
Pre-trained specifically for Indonesian, excelling in Indonesian language tasks.
Case-insensitive
The model is case-insensitive, adaptable to various text formats.

Model Capabilities

Text feature extraction
Masked language modeling
Next sentence prediction

Use Cases

Natural Language Processing
Text Classification
Can be used for sentiment analysis or topic classification of Indonesian text.
Question Answering System
Suitable for building Indonesian question answering systems.
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