update model name

README.md

@@ -34,8 +34,8 @@ Training Arguments:
 text = "馬雲是我爸爸。"
 query = "我爸爸是誰？"
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-tokenizer = BertTokenizerFast.from_pretrained("bert_drcd_384")
-model = BertForQuestionAnswering.from_pretrained("bert_drcd_384").to(device)
+tokenizer = BertTokenizerFast.from_pretrained("nyust-eb210/braslab-bert-drcd-384")
+model = BertForQuestionAnswering.from_pretrained("nyust-eb210/braslab-bert-drcd-384").to(device)
 encoded_input = tokenizer(text, query, return_tensors="pt").to(device)
 qa_outputs = model(**encoded_input)