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# Forward pass outputs = model(**inputs)

To extract deep features, we can consider the following approaches:

def extract_text_features(text): # Tokenize text inputs = tokenizer(text, return_tensors="pt")

# Extract features (e.g., last hidden state) features = outputs.last_hidden_state[:, 0, :]



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# Forward pass outputs = model(**inputs)

To extract deep features, we can consider the following approaches: # Forward pass outputs = model(**inputs) To extract

def extract_text_features(text): # Tokenize text inputs = tokenizer(text, return_tensors="pt")

# Extract features (e.g., last hidden state) features = outputs.last_hidden_state[:, 0, :] return_tensors="pt") # Extract features (e.g.