# Arabic BERT

SaudiBERT is the first large-scale pre-trained language model specifically focused on Saudi dialect text, trained on a massive corpus of Saudi tweets and forum posts.

ARBERTv2 is an upgraded BERT model trained on Modern Standard Arabic (MSA) with a corpus of 243GB text, containing 27.8 billion tokens.

Pre-trained Arabic BERT mini language model for Arabic text processing tasks

An Arabic named entity recognition model based on the pre-trained BERT model, capable of identifying 8 entity types.

AraBERT is an Arabic pre-trained language model based on the BERT architecture, specifically optimized for Arabic language understanding tasks.

AraBERT is an Arabic pre-trained language model based on Google's BERT architecture, specifically designed for Arabic natural language understanding tasks.

AraBERT is an Arabic pre-trained language model based on the BERT architecture, optimized for Arabic language understanding tasks, with multiple variant versions.