src/transformers/models/rembert/modeling_tf_rembert.py/TFRemBertForSequenceClassification/__init__
class TFRemBertForSequenceClassification:    def __init__(self, config: RemBertConfig, *inputs, **kwargs):
        super().__init__(config, *inputs, **kwargs)

        self.num_labels = config.num_labels

        self.rembert = TFRemBertMainLayer(config, name="rembert")
        self.dropout = tf.keras.layers.Dropout(rate=config.classifier_dropout_prob)
        self.classifier = tf.keras.layers.Dense(
            units=config.num_labels,
            kernel_initializer=get_initializer(config.initializer_range),
            name="classifier",
        )