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T5Tokenizer.from_pretrained('t5-small') model = T5ForConditionalGeneration.from_pretrained('t5-small') # Prepare the input input_text = "summarize: " + article input_ids = tokenizer.encode(input_text, return_tensors='pt', max_length=512, truncation=True) # Generate the summary summary_ids =