Part 1 Hiwebxseriescom Hot Today

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

tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased') model = AutoModel.from_pretrained('bert-base-uncased') part 1 hiwebxseriescom hot

from sklearn.feature_extraction.text import TfidfVectorizer print(X

vectorizer = TfidfVectorizer() X = vectorizer.fit_transform([text]) part 1 hiwebxseriescom hot

import torch from transformers import AutoTokenizer, AutoModel