aiya

app.py

@@ -7,7 +7,7 @@ from sklearn.metrics import accuracy_score, precision_recall_fscore_support
 TASKS = ["sentiment-analysis", "ner", "text-classification"]
 MODELS = {
     "DistilBERT": "distilbert-base-uncased",
-    "BERT": "bert-base-uncased",
+    "BERT": "google-bert/bert-base-uncased",
     "RoBERTa": "roberta-base",
     "LLaMA": "decapoda-research/llama-7b-hf"
     # Add other models here