Create README.md

README.md

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+**DBERT** is the first BERT model for the Moroccan Arabic dialect called “Darija”. It is based on the same architecture as BERT-base, but without the Next Sentence Prediction (NSP) objective. This model was trained on a total of ~3 Million sequences of Darija dialect representing 691MB of text or a total of ~100M tokens.
+
+The model was trained on a dataset issued from three different sources:
+*  Stories written in Darija scrapped from a dedicated website
+*  Youtube comments from 40 different Moroccan channels
+*  Tweets crawled based on a list of Darija keywords. 
+
+More details about DarijaBert are available in the dedicated GitHub repository 
+
+**Loading the model**
+
+The model can be loaded directly using the Huggingface library:
+
+```python
+from transformers import AutoTokenizer, AutoModel
+DBERT_tokenizer = AutoTokenizer.from_pretrained("Kamel/DBERT")
+DBERT_Bert_model = AutoModel.from_pretrained("Kamel/DBERT")
+```
+ 
+**Acknowledgments**
+
+We gratefully acknowledge Google’s TensorFlow Research Cloud (TRC) program for providing us with free Cloud TPUs.
+
+