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- text: " السلام عليكم ورحمة[MASK] وبركاتة"
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---
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**AraBERTMo** is an Arabic pre-trained language model based on [Google's BERT architechture](https://github.com/google-research/bert). AraBERTMo uses the same BERT-Base config.
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All models are available on the `HuggingFace` model page under the [Ebtihal](https://huggingface.co/Ebtihal/) name. Checkpoints are available in PyTorch formats.
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## Load Pretrained Model
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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:
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- text: " السلام عليكم ورحمة[MASK] وبركاتة"
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- example_title: "Example 1"
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---
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# Arabic BERT Mini Model
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**AraBERTMo** is an Arabic pre-trained language model based on [Google's BERT architechture](https://github.com/google-research/bert). AraBERTMo uses the same BERT-Base config.
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All models are available on the `HuggingFace` model page under the [Ebtihal](https://huggingface.co/Ebtihal/) name. Checkpoints are available in PyTorch formats.
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## Pretraining Corpus
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`AraBertMo_base_V1' model was pretrained on ~3 million words:
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- Arabic version of [OSCAR](https://traces1.inria.fr/oscar/) -
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## Load Pretrained Model
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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:
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