Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
self).__init__() self.n_dim = n_dim self.embedding = nn.Embedding( num_embeddings=vocab_size, embedding_dim=n_dim ) self.positional_encoding = PositionalEncoding( d_model=n_dim, dropout=dropout ) self.encoder_blocks = nn.ModuleList([ EncoderBlock(n_dim, dropout, n_heads) for _ in