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@@ -19,6 +19,18 @@ from transformers import AutoTokenizer, AutoModel
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  DarijaBERT_tokenizer = AutoTokenizer.from_pretrained("SI2M-Lab/DarijaBERT-arabizi")
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  DarijaBert_model = AutoModel.from_pretrained("SI2M-Lab/DarijaBERT-arabizi")
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
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  **Acknowledgments**
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  We gratefully acknowledge Google’s TensorFlow Research Cloud (TRC) program for providing us with free Cloud TPUs.
 
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  DarijaBERT_tokenizer = AutoTokenizer.from_pretrained("SI2M-Lab/DarijaBERT-arabizi")
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  DarijaBert_model = AutoModel.from_pretrained("SI2M-Lab/DarijaBERT-arabizi")
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  ```
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+
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+ **Citation**
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+
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+ If you use our models for your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows (to be updated):
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+ ```
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+ @article{gaanoun2023darijabert,
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+ title={Darijabert: a Step Forward in Nlp for the Written Moroccan Dialect},
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+ author={Gaanoun, Kamel and Naira, Abdou Mohamed and Allak, Anass and Benelallam, Imade},
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+ year={2023}
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+ }
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+
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+ ```
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  **Acknowledgments**
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  We gratefully acknowledge Google’s TensorFlow Research Cloud (TRC) program for providing us with free Cloud TPUs.