Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
embeddings.detach().numpy() # Perform PCA to reduce dimensions pca = PCA(n_components=2) embeddings_2d = pca.fit_transform(embeddings_np) # Visualize plt.figure(figsize=(8, 6)) plt.scatter(embeddings_2d[:, 0], embeddings_2d[:, 1], c='blue', label='Tokens') for i in range(embeddings_2d.shape[0]):