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+ ​T5 Model for Formality Style Transfer. Trained on the GYAFC dataset.​
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+ ​PyTorch model available​.
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+
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+
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+ tokenizer = AutoTokenizer.from_pretrained("Isotonic/informal_to_formal")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("Isotonic/informal_to_formal")
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+
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+ sentence = "will you look into these two deals and let me know"
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+
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+ text = "Make the following sentence Formal: " + sentence + " </s>"
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+
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+ encoding = tokenizer.encode_plus(text,pad_to_max_length=True, return_tensors="pt")
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+ input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
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+
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+
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+ outputs = model.generate(
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+ input_ids=input_ids, attention_mask=attention_masks,
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+ max_length=256,
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+ do_sample=True,
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+ top_k=120,
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+ top_p=0.95,
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+ early_stopping=True,
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+ num_return_sequences=5
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+ )
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+
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+ for output in outputs:
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+ line = tokenizer.decode(output, skip_special_tokens=True,clean_up_tokenization_spaces=True)
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+ print(line)
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+ ​Output: "Would you look into the two deals in question, then let me know?"