Update README.md

README.md

@@ -105,16 +105,16 @@ tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-base")
 Because this model uses language adapters, you need to specify the language of your input so that the correct adapter can be activated:
 
 ```python
-from transformers import XMODModel
+from transformers import XmodModel
 
-model = XMODModel.from_pretrained("jvamvas/xmod-base")
+model = XmodModel.from_pretrained("jvamvas/xmod-base")
 model.set_default_language("en_XX")
 ```
 
 A directory of the language adapters in this model is found at the bottom of this model card.
 
 ## Fine-tuning
-The paper recommends that the embedding layer and the language adapters are frozen during fine-tuning. A method for doing this is provided in the code:
+In the experiments in the original paper, the embedding layer and the language adapters are frozen during fine-tuning. A method for doing this is provided in the code:
 
 ```python
 model.freeze_embeddings_and_language_adapters()