Part 1 Hiwebxseriescom Hot < 2027 >

import torch from transformers import AutoTokenizer, AutoModel

print(X.toarray()) The resulting matrix X can be used as a deep feature for the text. part 1 hiwebxseriescom hot

inputs = tokenizer(text, return_tensors='pt') outputs = model(**inputs) import torch from transformers import AutoTokenizer

text = "hiwebxseriescom hot"

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