import pandas as pd from transformers import AutoModel, AutoTokenizer import torch
To extract deep features, we can consider the following approaches:
return features.detach().numpy()
# Load pre-trained model and tokenizer model_name = "distilbert-base-uncased" model = AutoModel.from_pretrained(model_name) tokenizer = AutoTokenizer.from_pretrained(model_name)
def extract_text_features(text): # Tokenize text inputs = tokenizer(text, return_tensors="pt") www.moviehdkh
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.
# Forward pass outputs = model(**inputs) import pandas as pd from transformers import AutoModel,
# Extract features (e.g., last hidden state) features = outputs.last_hidden_state[:, 0, :]