Update README.md

README.md

@@ -36,10 +36,13 @@ with torch.no_grad():
   inputs = tokenizer(test_input, return_tensors="pt", padding=True).to("cuda")
   generated_ids = inference_model.generate(**inputs)
   outputs = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
-outputs```
+outputs
 -> [Ahmed]
+```
+
 
 The usage for batch mode is as follows:
+
 ```
 from peft import PeftModel, PeftConfig
 peft_model_path="savasy/mt0-large-Turkish-qa"
@@ -66,5 +69,5 @@ with torch.no_grad():
     outputs = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
     preds+=outputs
 ```
-# compare preds with your expected ground-truth results
+At the end, you can compare *preds* with your expected ground-truth results