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Indobert Lite Large P2

Developed by indobenchmark
IndoBERT is an advanced language model based on BERT, specifically designed for Indonesian, trained with masked language modeling and next sentence prediction objectives.
Downloads 117
Release Time : 3/2/2022

Model Overview

IndoBERT is a pretrained language model designed for Indonesian, supporting natural language understanding tasks and suitable for processing Indonesian text.

Model Features

Optimized for Indonesian
The model is specifically trained and optimized for Indonesian, enabling better understanding and processing of Indonesian text.
Lightweight Design
The Lite version has fewer parameters, making it suitable for environments with limited resources.
Case Insensitive
The model is case insensitive and can handle text inputs in various case forms.

Model Capabilities

Indonesian text understanding
Masked language modeling
Next sentence prediction

Use Cases

Natural language processing
Text classification
Classifying Indonesian text
Named entity recognition
Identifying named entities in Indonesian text
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