Update README.md

README.md

@@ -38,13 +38,11 @@ import torch
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
 def load_model(model_path):
-    """Kayıtlı modeli ve tokenizer'ı yükler."""
     model = AutoModelForSequenceClassification.from_pretrained(model_path)
     tokenizer = AutoTokenizer.from_pretrained(model_path)
     return model, tokenizer
 
 def get_sentiment(text, model, tokenizer):
-    """Verilen metnin sentiment tahminini döndürür."""
     inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True, max_length=512)
     device = next(model.parameters()).device
     inputs = {k: v.to(device) for k, v in inputs.items()}