src/transformers/models/convbert/modeling_convbert.py/ConvBertModel/__init__
class ConvBertModel:    def __init__(self, config):
        super().__init__(config)
        self.embeddings = ConvBertEmbeddings(config)

        if config.embedding_size != config.hidden_size:
            self.embeddings_project = nn.Linear(config.embedding_size, config.hidden_size)

        self.encoder = ConvBertEncoder(config)
        self.config = config
        # Initialize weights and apply final processing
        self.post_init()