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| from transformers import pipeline | |
| import spacy | |
| nlp = spacy.load('en_core_web_sm') | |
| sentiment_pipeline = pipeline("sentiment-analysis", model='distilbert/distilbert-base-uncased-finetuned-sst-2-english') | |
| classifier = pipeline(task="zero-shot-classification", model="facebook/bart-large-mnli") | |
| nlp.to_disk('spacy_model') | |
| sentiment_pipeline.save_pretrained('my_sentiment_model') | |
| classifier.save_pretrained('my_zero_shot') |