Update README.md

README.md

@@ -24,6 +24,8 @@ We used the models provided by HuggingFace v4.24.0, and Pytorch v1.13.0.
 In particular, for training the model we used a batch size of 256, Adam optimizer, with a learning rate of 1e<sup>-5</sup>, and cross-entropy as a loss function. We trained the model for three epochs using a GPU NVIDIA Tesla V100 32GB SXM2.
 
 # Usage
+
+```
 ## Use a pipeline as a high-level helper from transformers import pipeline
 pipe = pipeline("fill-mask", model="citiusLTL/DisorBERT")
 
@@ -32,6 +34,7 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM
 
 tokenizer = AutoTokenizer.from_pretrained("citiusLTL/DisorBERT")
 model = AutoModelForMaskedLM.from_pretrained("citiusLTL/DisorBERT")
+```
 
 # Paper