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from transformers import pipeline
model_name = "facebook/bart-large-cnn"
summarizer = pipeline("summarization", model=model_name)
# Save the model and tokenizer to a local directory
# This is the Hugging Face standard for 'pickling' a model
summarizer.save_pretrained("./summarizer_model")
print("Model saved successfully to ./summarizer_model") |