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In the process of preparing data for a machine learning model using pandas in Python, you encounter a dataset where several entries have the same values in 'customer_id' and 'transaction_id'. To ensure the uniqueness of each transaction, you need to remove duplicate rows based on these two columns, keeping the first instance of each duplicate. Which pandas function and parameters will achieve this?