Update README.md

README.md

@@ -33,19 +33,20 @@ Sentence 4 has a subject-verb agreement error.
 **example_usage:**
 *library: HuggingFace transformers*
 ```python
-      from transformers import AutoTokenizer, AutoModelForSequenceClassification
-      tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
-      model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")
-      sentences = [
-          'what was the reason for everyone to leave the company', 
-          'What was the reason behind everyone leaving the company', 
-          # ... other sentences
-      ]
-      features = tokenizer(sentences, padding=True, truncation=True, return_tensors="pt")
-      model.eval()
-      with torch.no_grad():
-          scores = model(**features).logits
-      print(scores)
+import torch
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+tokenizer = AutoTokenizer.from_pretrained("salesken/query_wellformedness_score")
+model = AutoModelForSequenceClassification.from_pretrained("salesken/query_wellformedness_score")
+sentences = [
+    'what was the reason for everyone to leave the company', 
+    'What was the reason behind everyone leaving the company', 
+    # ... other sentences
+]
+features = tokenizer(sentences, padding=True, truncation=True, return_tensors="pt")
+model.eval()
+with torch.no_grad():
+    scores = model(**features).logits
+print(scores)
 ```
 
 **Intended Use Cases**