src/transformers/models/roberta_prelayernorm/modeling_roberta_prelayernorm.py/RobertaPreLayerNormModel/__init__
class RobertaPreLayerNormModel:    def __init__(self, config, add_pooling_layer=True):
        super().__init__(config)
        self.config = config

        self.embeddings = RobertaPreLayerNormEmbeddings(config)
        self.encoder = RobertaPreLayerNormEncoder(config)
        self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)

        self.pooler = RobertaPreLayerNormPooler(config) if add_pooling_layer else None

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