Update README

README.md

@@ -62,8 +62,8 @@ import torch
 
 classifier = pipeline(
     "text-classification",
-    model="YOUR_USERNAME/emoticare",  # replace with your HF repo path
-    tokenizer="YOUR_USERNAME/emoticare",
+    model="BruceIC/emoticare",  # replace with your HF repo path
+    tokenizer="BruceIC/emoticare",
     top_k=None,                        # return scores for all labels
     device=0 if torch.cuda.is_available() else -1,
 )
@@ -94,7 +94,7 @@ import torch
 import torch.nn.functional as F
 from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
 
-model_name = "YOUR_USERNAME/emoticare"  # replace with your HF repo path
+model_name = "BruceIC/emoticare"  # replace with your HF repo path
 
 tokenizer = DistilBertTokenizer.from_pretrained(model_name)
 model = DistilBertForSequenceClassification.from_pretrained(model_name)