Update README.md

README.md

@@ -111,8 +111,8 @@ Here is how to use this model to get the features of a given text in PyTorch:
 
 ```python
 from transformers import AlbertTokenizer, AlbertModel
-tokenizer = AlbertTokenizer.from_pretrained('cservan/malbert-base-cased-128k')
-model = AlbertModel.from_pretrained("cservan/malbert-base-cased-128k")
+tokenizer = AlbertTokenizer.from_pretrained('cservan/multilingual-albert-base-cased-128k')
+model = AlbertModel.from_pretrained("cservan/multilingual-albert-base-cased-128k")
 text = "Remplacez-moi par le texte en français que vous souhaitez."
 encoded_input = tokenizer(text, return_tensors='pt')
 output = model(**encoded_input)
@@ -122,8 +122,8 @@ and in TensorFlow:
 
 ```python
 from transformers import AlbertTokenizer, TFAlbertModel
-tokenizer = AlbertTokenizer.from_pretrained('cservan/malbert-base-cased-128k')
-model = TFAlbertModel.from_pretrained("cservan/malbert-base-cased-128k")
+tokenizer = AlbertTokenizer.from_pretrained('cservan/multilingual-albert-base-cased-128k')
+model = TFAlbertModel.from_pretrained("cservan/multilingual-albert-base-cased-128k")
 text = "Remplacez-moi par le texte en français que vous souhaitez."
 encoded_input = tokenizer(text, return_tensors='tf')
 output = model(encoded_input)