Update README.md

README.md

@@ -29,13 +29,13 @@ prompt.
 ### How to use
 Here is how to use this model to get the features of a given text in PyTorch:
 
-import random \
-from transformers import AutoTokenizer, AutoModelWithLMHead \
+import random
+from transformers import AutoTokenizer, AutoModelWithLMHead
 
-tokenizer = AutoTokenizer.from_pretrained('macedonizer/mk-gpt2') \
-model = AutoModelWithLMHead.from_pretrained('macedonizer/mk-gpt2') \
+tokenizer = AutoTokenizer.from_pretrained('macedonizer/mk-gpt2')
+model = AutoModelWithLMHead.from_pretrained('macedonizer/mk-gpt2')
 
-input_text = 'Скопје е ' \
+input_text = 'Скопје е '
 
 if len(input_text) == 0: \
     encoded_input = tokenizer(input_text, return_tensors="pt") \
@@ -63,4 +63,4 @@ decoded_output = [] \
 for sample in output: \
     decoded_output.append(tokenizer.decode(sample, skip_special_tokens=True)) \
 
-print(decoded_output) \
+print(decoded_output)