Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
torch.randint(0, vocab_size, (1, len(input_sentence.split()))) output_embeddings = model(input_tensor) print(f"The model has {sum(p.numel() for p in model.parameters() if p.requires_grad):,} trainable parameters") The model has 24,546,304 trainable parameters Explanation: We define the