Update README.md

README.md

@@ -152,7 +152,7 @@ probs = logits_per_image.softmax(dim=1) # we can take the softmax to get the lab
 print("Label probabilities:", probs)
 print("Logits per image:", logits_per_image)
 
-# Compute image and text embeddings separetely
+# Compute image and text embeddings separately
 
 text_features = model.get_text_features(inputs["input_ids"], inputs["attention_mask"])
 image_features = model.get_image_features(inputs["pixel_values"])