# Import necessary libraries
import torch
import torch.nn as nn
import torch.nn.functional as F

# Define custom model
class TranslationModel(nn.Module):
    def __init__(self):
        super(TranslationModel, self).__init__()
        self.encoder = nn.LSTM(input_size=512, hidden_size=256, num_layers=1, batch_first=True)
        self.decoder = nn.LSTM(input_size=256, hidden_size=512, num_layers=1, batch_first=True)
        self.fc = nn.Linear(512, 512)

    def forward(self, input_seq):
        encoder_output, _ = self.encoder(input_seq)
        decoder_output, _ = self.decoder(encoder_output)
        output = self.fc(decoder_output)
        return output

# Initialize custom model
model = TranslationModel()