from transformers import pipeline

# Load model (replace with your actual username)
classifier = pipeline(
    "text-classification",
    model="debojit01/fake-review-detector"
)

# Example inference
result = classifier("This product is absolutely perfect!")
print(result)  # Output: {'label': 'REAL', 'score': 0.99}

Training Data

20,000 real product reviews (OR)
40,000 computer-generated reviews (CG)
50/50 train-test split

Ethical Considerations

Use responsibly. May reflect biases present in training data.