Update README.md

README.md

@@ -48,7 +48,7 @@ for text in texts:
  # prepare inputs
  encoding = processor(image, text, return_tensors="pt")
  outputs = model(**encoding)
- scores[text] = outputs.logits[0, :].item()
+ scores[text] = outputs.logits[0,1].item()
 ```
 
 Here is how to use this model to perfom masked language modeling:
@@ -74,7 +74,7 @@ outputs = model(**encoding)
 results = processor.decode(outputs.logits.argmax(dim=-1).squeeze(0).tolist())
 
 print(results)
-a cat looking out of the window.
+.a cat looking out of the window.
 ```
 
 ### Limitations and bias