Update README.md

README.md

@@ -31,7 +31,7 @@ You can use this model directly with a pipeline for text classification:
 ```python
 >>> from transformers import pipeline
 >>> import torch
->>> bert_ckpt = "transformersbook/bert-base-uncased-finetuned-clinc"
+>>> bert_ckpt = "seddiktrk/distilbert-base-uncased-finetuned-clinc"
 >>> device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 >>> pipe = pipeline("text-classification", model=bert_ckpt, device=device)