What does the classification head of an AutoModelForTokenClassification Model from Hugging Face refer to?

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The classification head of an AutoModelForTokenClassification Model from Hugging Face refers to the neural network layer at the end of the model that is responsible for classifying each token in a sequence into a predefined set of categories or classes. This layer maps the hidden representations of the input tokens to the classification labels through a series of linear transformations and non-linear activation functions. The goal of the classification head is to extract meaningful features from the token-level representations and make accurate predictions for the target classification task.