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# MorrBERT
MorrBERT is a Transformer-based Language Model designed specifically for the Moroccan Dialect.
Developed by Moussaoui Otman and El Younoussi Yacine.
## About MorrBERT
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.
## Usage
The model weights can be loaded using transformers library by HuggingFace.
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("otmangi/MorrBERT")
model = AutoModel.from_pretrained("otmangi/MorrBERT")
## Acknowledgments
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.
## Contact
For any inquiries, feedback, or requests, please feel free to reach out to :
[email protected]
[email protected]
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