Update README.md

README.md

@@ -39,9 +39,9 @@ from transformers import AutoModel, AutoTokenizer
 tokenizer = AutoTokenizer.from_pretrained('qilowoq/AbLang_heavy')
 model = AutoModel.from_pretrained('qilowoq/AbLang_heavy', trust_remote_code=True)
 
-sequence_Example = ' '.join("QIHLVQSGTEVKKPGSSVTVSCKAYGVNTFGLYAVNWVRQAPGQSLEYIGQIWRWKSSASHHFRGRVLISAVDLTGSSPPISSLEIKNLTSDDTAVYFCTTTSTYDKWSGLHHDGVMAFSSWGQGTLISVSAASTKGPSVFPLAPSSGTAALGCLVKDYFPEPVTVSWNSGALTSGVHTFPAVLQSSGLYSLSSVVTVPSTQTYICNVNHKPSNTKVDKKVEPK")
+sequence_Example = ' '.join("EVQLQESGPGLVKPSETLSLTCTVSGGPINNAYWTWIRQPPGKGLEYLGYVYHTGVTNYNPSLKSRLTITIDTSRKQLSLSLKFVTAADSAVYYCAREWAEDGDFGNAFHVWGQGTMVAVSSASTKGPSVFPLAPSSKSTSGGTAALGCL")
 encoded_input = tokenizer(sequence_Example, return_tensors='pt')
-model_output = model(encoded_input)
+model_output = model(**encoded_input)
 ```
 
 Sequence embeddings can be produced as follows: