| 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) |