src/transformers/models/mpnet/modeling_tf_mpnet.py/TFMPNetEmbeddings/build
class TFMPNetEmbeddings:    def build(self, input_shape: tf.TensorShape):
        with tf.name_scope("word_embeddings"):
            self.weight = self.add_weight(
                name="weight",
                shape=[self.config.vocab_size, self.hidden_size],
                initializer=get_initializer(initializer_range=self.initializer_range),
            )

        with tf.name_scope("position_embeddings"):
            self.position_embeddings = self.add_weight(
                name="embeddings",
                shape=[self.max_position_embeddings, self.hidden_size],
                initializer=get_initializer(initializer_range=self.initializer_range),
            )

        super().build(input_shape)