Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
the input sentence into a tensor of word indices (input_tensor) using torch.randint(). Each word in the sentence is represented by a random index from 0 to vocab_size - 1. We perform a forward pass through the model using model(input_tensor) to obtain the output embeddings (output_embeddings).