) | |
input_ids = tokenizer(ARTICLE_TO_SUMMARIZE, return_tensors="pt").input_ids | |
autoregressively generate summary (uses greedy decoding by default) | |
generated_ids = model.generate(input_ids) | |
generated_text = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] | |
print(generated_text) | |
nearly 800 thousand customers were affected by the shutoffs. |