Update README.md

README.md

@@ -50,13 +50,11 @@ You can load and run the model directly:
 ```
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
-```
-```
+
 model_id = "salitahir/roberta-esg-relevance-green-guard-v1"
 tok = AutoTokenizer.from_pretrained(model_id)
 mod = AutoModelForSequenceClassification.from_pretrained(model_id).eval()
 
-
 text = "We reduced Scope 2 emissions by 24% in 2024."
 inputs = tok(text, return_tensors="pt", truncation=True)
 pred = torch.softmax(mod(**inputs).logits, dim=-1)