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Basically, the `from_pretrained` method allows you to grab a tokenizer that's been trained alongside a powerful language model. This is like getting a pre-built engine for your car, instead of building one yourself. Super efficient, right? You can quickly implement the pre-trained model and immediately start performing the task you are interested in. The method itself takes the name or path of the pre-trained model as an argument, and then loads the tokenizer associated with that model.
