print(features) This example uses a pre-trained DistilBERT model to extract features from text data. You'll need to adapt this code to your specific use case and data.
Make sure to check the website's terms of use and robots.txt file (e.g., www.moviehdkh/robots.txt) before scraping or crawling the website. www.moviehdkh
# Example usage text_data = ["This is a great movie!", "I loved the action scenes."] features = [extract_text_features(text) for text in text_data] # Example usage text_data = ["This is a great movie
# Forward pass outputs = model(**inputs) www.moviehdkh
import pandas as pd from transformers import AutoModel, AutoTokenizer import torch
I'll provide some insights on extracting deep features from the website www.moviehdkh (note that this website might be in a language other than English, and its content might not be readily accessible or understandable). I'll assume it's a movie streaming or information website.