src/transformers/models/squeezebert/modeling_squeezebert.py/SqueezeBertForSequenceClassification/__init__
class SqueezeBertForSequenceClassification:    def __init__(self, config):
        super().__init__(config)
        self.num_labels = config.num_labels
        self.config = config

        self.transformer = SqueezeBertModel(config)
        self.dropout = nn.Dropout(config.hidden_dropout_prob)
        self.classifier = nn.Linear(config.hidden_size, self.config.num_labels)

        # Initialize weights and apply final processing
        self.post_init()