Update README.md

README.md

@@ -49,17 +49,19 @@ Load CamemBERT and its sub-word tokenizer :
 ```python
 from transformers import CamembertModel, CamembertTokenizer
 
-tokeinzer = CamembertTokenizer.from_pretrained(“cmarkea/distilcamembert-base”)
-model = CamembertModel.from_pretrained(“cmarkea/distilcamembert-base”)
+tokeinzer = CamembertTokenizer.from_pretrained("cmarkea/distilcamembert-base")
+model = CamembertModel.from_pretrained("cmarkea/distilcamembert-base")
 model.eval()
+
+...
 ```
 
 Filling masks using pipeline :
 ```python
 from transformers import pipeline
 
-model_fill_mask = pipeline(“fill-mask”, model=”cmarkea/distilcamembert-base”, tokenizer=”cmarkea/distilcamembert-base”)
-results = model_fill_mask(“Le camembert est <mask> :)”)
+model_fill_mask = pipeline("fill-mask", model="cmarkea/distilcamembert-base", tokenizer="cmarkea/distilcamembert-base")
+results = model_fill_mask("Le camembert est <mask> :)")
 #results
 #[{'sequence': '<s> Le camembert est délicieux :)</s>', 'score': 0.3878222405910492, 'token': 7200},
 # {'sequence': '<s> Le camembert est excellent :)</s>', 'score': 0.06469205021858215, 'token': 2183},