Update train_tokenizer_example.py #180
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1. Introduced a train_and_test_tokenizer function to encapsulate the logic for training and testing each tokenizer. This reduces code duplication and makes it easier to maintain. 2. The function takes the tokenizer class, configuration class, and data as parameters, allowing for a more modular approach.
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any update if it good please merge it |
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Introduced a train_and_test_tokenizer function to encapsulate the logic for training and testing each tokenizer. This reduces code duplication and makes it easier to maintain.
The function takes the tokenizer class, configuration class, and data as parameters, allowing for a more modular approach.
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