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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
import torch | |
import pickle | |
model = AutoModelForSeq2SeqLM.from_pretrained("ramsrigouthamg/t5-large-paraphraser-diverse-high-quality") | |
tokenizer = AutoTokenizer.from_pretrained("ramsrigouthamg/t5-large-paraphraser-diverse-high-quality") | |
pickle.dump(model, open('model.pkl', 'wb')) | |
pickle.dump(model, open('tokenizer.pkl', 'wb')) | |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |
model = model.to(device) |