Update tasks/text.py

tasks/text.py

@@ -64,7 +64,7 @@ async def evaluate_text(request: TextEvaluationRequest):
     # Model and Tokenizer
     model_name = "google/mobilebert-uncased"  # The base model you fine-tuned from
     tokenizer = AutoTokenizer.from_pretrained(model_name)
-    model = AutoModelForSequenceClassification.from_pretrained("./pytorch_model.bin", num_labels=8)
+    model = AutoModelForSequenceClassification.from_pretrained("Zen0/FrugalDisinfoHunter", num_labels=8)
     
     # Tokenize the test data
     test_texts = test_dataset["quote"]