Update call to forward pass to match latest API

README.md

@@ -31,7 +31,7 @@ inputs = tokenizer(text, padding=True, truncation=True, return_tensors="pt")
 
 # Embed the text
 with torch.no_grad():
-    sequence_output, _ = model(**inputs, output_hidden_states=False)
+    sequence_output = model(**inputs)[0]
 
 # Mean pool the token-level embeddings to get sentence-level embeddings
 embeddings = torch.sum(