Update README.md

README.md

@@ -1,11 +1,11 @@
-**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.
+**DarijaBERT** 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 
+More details about DarijaBert are available in the dedicated GitHub [repository](https://github.com/AIOXLABS/DBert) 
 
 **Loading the model**
 
@@ -13,8 +13,8 @@ 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")
+DBERT_tokenizer = AutoTokenizer.from_pretrained("Kamel/DarijaBERT")
+DBERT_Bert_model = AutoModel.from_pretrained("Kamel/DarijaBERT")
 ```
  
 **Acknowledgments**