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Arabertmo Base V8
AraBERTMo is an Arabic pretrained language model based on Google's BERT architecture, specifically optimized for Arabic text.
Downloads 21
Release Time : 3/2/2022
Model Overview
AraBERTMo is a BERT-based Arabic pretrained model primarily designed for fill-mask tasks, suitable for Arabic natural language processing applications.
Model Features
Arabic language optimization
Specifically pretrained and optimized for Arabic text, suitable for Arabic natural language processing tasks.
BERT-based architecture
Adopts the same architecture as BERT-Base, with robust language understanding and representation capabilities.
Large-scale pretraining
Pretrained on the OSCAR Arabic version corpus of 3 million words, covering a wide range of Arabic texts.
Model Capabilities
Arabic text understanding
Fill-mask prediction
Contextual semantic representation
Use Cases
Natural language processing
Arabic text completion
Automatically predicts and completes missing parts in Arabic sentences.
Arabic text understanding
Used for feature extraction in downstream NLP tasks such as sentiment analysis and named entity recognition.
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