Update README.md

README.md

@@ -32,8 +32,9 @@ tokenizer = AutoTokenizer.from_pretrained("razent/SciFive-large-Pubmed_PMC-MedNL
 model = AutoModelForSeq2SeqLM.from_pretrained("razent/SciFive-large-Pubmed_PMC-MedNLI")
 model.cuda()
 ​
-sentence = "Identification of APC2 , a homologue of the adenomatous polyposis coli tumour suppressor ."
-text =  "mednli: " + sentence + " </s>"
+sent_1 = "In the ED, initial VS revealed T 98.9, HR 73, BP 121/90, RR 15, O2 sat 98% on RA."
+sent_2 = "The patient is hemodynamically stable"
+text =  f"mednli: sentence1: {sent_1} sentence2: {sent_2}"
 
 encoding = tokenizer.encode_plus(text, padding='max_length', max_length=256, return_tensors="pt")
 input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")