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Albert Bahasa Uncased Squad

Developed by Wikidepia
IndoBERT-Lite model fine-tuned using a translated version of the SQuAD dataset based on IndoBenchmark, suitable for Indonesian Q&A tasks.
Downloads 40
Release Time : 3/2/2022

Model Overview

This model is a Q&A model fine-tuned based on the IndoBERT-Lite architecture, specifically designed to handle Indonesian Q&A tasks and extract answers from given texts.

Model Features

Indonesian Language Optimization
Fine-tuned specifically for Indonesian, enabling better understanding and processing of Indonesian texts.
Q&A Task Specialization
Optimized for Q&A tasks, capable of extracting accurate answers from context.

Model Capabilities

Text Understanding
Answer Extraction
Indonesian Language Processing

Use Cases

Education
Automated Answering System
Used in educational settings for automated answering systems, helping students quickly find answers to questions.
Improves learning efficiency and reduces time spent searching for answers.
Customer Service
Intelligent Customer Service
Used in customer service for automated Q&A systems to quickly respond to customer inquiries.
Enhances customer satisfaction and reduces the workload of human customer service agents.
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