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Araroberta SA
AraRoBERTa is a single-dialect Arabic language model trained at the national level, based on RoBERTa's foundational configuration.
Downloads 54
Release Time : 3/2/2022
Model Overview
AraRoBERTa is a pre-trained language model specifically designed for Arabic dialects, featuring variants for seven different national dialects, suitable for tasks such as Arabic text classification.
Model Features
Dialect-Specific Model
Separate models trained for seven different Arabic national dialects
RoBERTa Architecture
Built upon the robust foundational configuration of RoBERTa
Weakly Supervised Learning
Supports weakly supervised and semi-supervised learning methods
Model Capabilities
Arabic Text Classification
Dialect Identification
Natural Language Understanding
Use Cases
Text Classification
Arabic Dialect Classification
Identify which Arabic national dialect the text belongs to
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