AraBertMo_base_V9

Arabic Model AraBertMo_base_V9

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language: ar tags: Fill-Mask datasets: OSCAR widget:

• text: " السلام عليكم ورحمة[MASK] وبركاتة"
• text: " اهلا وسهلا بكم في [MASK] من سيربح المليون"
• text: " مرحبا بك عزيزي الزائر [MASK] موقعنا "

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Arabic BERT Model

AraBERTMo is an Arabic pre-trained language model based on Google's BERT architechture. AraBERTMo_base uses the same BERT-Base config. AraBERTMo_base now comes in 10 new variants All models are available on the HuggingFace model page under the Ebtihal name. Checkpoints are available in PyTorch formats.

Pretraining Corpus

`AraBertMo_base_V9' model was pre-trained on ~3 million words:

• OSCAR - Arabic version "unshuffled_deduplicated_ar".

Training results

this model achieves the following results:

Load Pretrained Model

You can use this model by installing torch or tensorflow and Huggingface library transformers. And you can use it directly by initializing it like this:

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Ebtihal/AraBertMo_base_V9")
model = AutoModelForMaskedLM.from_pretrained("Ebtihal/AraBertMo_base_V9")

This model was built for master's degree research in an organization:

• University of kufa.
• Faculty of Computer Science and Mathematics.
• Department of Computer Science