src/transformers/models/tvlt/modeling_tvlt.py/TvltModel/__init__
class TvltModel:    def __init__(self, config):
        super().__init__(config)
        self.config = config

        self.pixel_embeddings = TvltPixelEmbeddings(config)
        self.audio_embeddings = TvltAudioEmbeddings(config)
        self.encoder = TvltEncoder(config)

        self.cls_embedding = nn.Parameter(torch.zeros(1, 1, config.hidden_size))

        if config.use_mean_pooling:
            self.layernorm = None
        else:
            self.layernorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)

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