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README.md
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# MorrBERT
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MorrBERT is a Transformer-based Language Model designed specifically for the Moroccan Dialect.
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Developed by Moussaoui Otman and El Younoussi Yacine.
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## About MorrBERT
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MorrBERT, specifically tailored for the Moroccan dialect, is structured identically to BERTBASE. The training process took approximately 120 hours to complete 12 epochs using the entire training set. A massive corpus of six million Moroccan dialect sentences, totaling 71 billion tokens, was utilized to train this model.
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## Usage
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The model weights can be loaded using transformers library by HuggingFace.
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("otmangi/MorrBERT")
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model = AutoModel.from_pretrained("otmangi/MorrBERT")
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## Acknowledgments
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This research was supported through computational resources of HPC-MARWAN (www.marwan.ma/hpc) provided by the National Center for Scientific and Technical Research (CNRST). Rabat. Morocco.
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## Contact
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For any inquiries, feedback, or requests, please feel free to reach out to :
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otman.moussaoui@etu.uae.ac.ma
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yacine.elyounoussi@uae.ac.ma
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