Part 1 Hiwebxseriescom Hot Info
last_hidden_state = outputs.last_hidden_state[:, 0, :] The last_hidden_state tensor can be used as a deep feature for the text.
text = "hiwebxseriescom hot"
Assuming you want to create a deep feature for the text "hiwebxseriescom hot", I can suggest a few approaches: part 1 hiwebxseriescom hot
vectorizer = TfidfVectorizer() X = vectorizer.fit_transform([text]) last_hidden_state = outputs
from sklearn.feature_extraction.text import TfidfVectorizer last_hidden_state = outputs.last_hidden_state[:
