Update README.md

README.md

@@ -46,9 +46,9 @@ All models are available in the `HuggingFace` model page under the [aubmindlab](
 
 We identified an issue with AraBERTv1's wordpiece vocabulary. The issue came from punctuations and numbers that were still attached to words when learned the wordpiece vocab. We now insert a space between numbers and characters and around punctuation characters.
 
-The new vocabulary was learnt using the `BertWordpieceTokenizer` from the `tokenizers` library, and should now support the Fast tokenizer implementation from the `transformers` library.
+The new vocabulary was learned using the `BertWordpieceTokenizer` from the `tokenizers` library, and should now support the Fast tokenizer implementation from the `transformers` library.
 
-**P.S.**: All the old BERT codes should work with the new BERT, just change the model name and check the new preprocessing dunction
+**P.S.**: All the old BERT codes should work with the new BERT, just change the model name and check the new preprocessing function
 **Please read the section on how to use the [preprocessing function](#Preprocessing)**
 
 ## Bigger Dataset and More Compute
@@ -86,7 +86,7 @@ It is recommended to apply our preprocessing function before training/testing on
 ```python
 from arabert.preprocess import ArabertPreprocessor
 
-model_name="bert-base-arabertv02"
+model_name="aubmindlab/bert-large-arabertv02"
 arabert_prep = ArabertPreprocessor(model_name=model_name)
 
 text = "ولن نبالغ إذا قلنا: إن هاتف أو كمبيوتر المكتب في زمننا هذا ضروري"