src/transformers/models/deberta_v2/modeling_tf_deberta_v2.py/TFDebertaV2ContextPooler/call
class TFDebertaV2ContextPooler:    def call(self, hidden_states, training: bool = False):
        # We "pool" the model by simply taking the hidden state corresponding
        # to the first token.
        context_token = hidden_states[:, 0]
        context_token = self.dropout(context_token, training=training)
        pooled_output = self.dense(context_token)
        pooled_output = get_tf_activation(self.config.pooler_hidden_act)(pooled_output)
        return pooled_output