Part 1 Hiwebxseriescom Hot Apr 2026

Here's an example using scikit-learn:

from sklearn.feature_extraction.text import TfidfVectorizer

import torch from transformers import AutoTokenizer, AutoModel

last_hidden_state = outputs.last_hidden_state[:, 0, :] The last_hidden_state tensor can be used as a deep feature for the text.

print(X.toarray()) The resulting matrix X can be used as a deep feature for the text.