Tạo input embeddings

class InputEmbeddings(nn.Module):
    def __init__(self, vocab_size: int, d_model: int) -> None:
        super().__init__()
        # Set the model dimensionality and vocabulary size
        self.d_model = ____
        self.vocab_size = ____
        # Instantiate the embedding layer
        self.embedding = ____

    def forward(self, x):
        # Return the embeddings multiplied by the square root of d_model
        return ____

# Instantiate InputEmbeddings and apply it to token_ids
embedding_layer = ____
output = ____
print(output.shape)