Assuming you want to create a deep feature for the text "hiwebxseriescom hot", I can suggest a few approaches:
print(X.toarray()) The resulting matrix X can be used as a deep feature for the text. part 1 hiwebxseriescom hot
tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased') model = AutoModel.from_pretrained('bert-base-uncased') Assuming you want to create a deep feature
from sklearn.feature_extraction.text import TfidfVectorizer part 1 hiwebxseriescom hot
import torch from transformers import AutoTokenizer, AutoModel