It’s a bit hard to give you an example without more information about the desired architecture.
This model would take 32 input features and output logits for 5 classes:
class MyModel(nn.Module):
    def __init__(self, in_features, nb_classes):
        super(MyModel, self).__init__()
        self.fc1 = nn.Linear(in_features, 64)
        self.fc2 = nn.Linear(64, nb_classes)
        
    def forward(self, x):
        x = F.relu(self.fc1(x))
        x = self.fc2(x)
        return x

model = MyModel(32, 5)