Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
has {sum(p.numel() for p in new_model.parameters() if p.requires_grad):,} trainable parameters") The new model has 4,695,040 trainable parameters Question 2: Visualize the embeddings of a different set of words. Answer: Here’s an example of visualizing the embeddings of a set of food-related words: