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README.md
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@@ -60,8 +60,8 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("grammarly/spivavtor-large")
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model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/spivavtor-large")
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input_text = 'Виправте граматику в цьому реченнi: Дякую за iнформацiю! ми з Надiєю саме вийшли з дому'
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# English translation of text: "Paraphrase the sentence: What is the greatest compliment that you ever received from anyone?"
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inputs = tokenizer.encode(input_text, return_tensors="pt")
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output = model.generate(inputs, max_length=256)
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tokenizer = AutoTokenizer.from_pretrained("grammarly/spivavtor-large")
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model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/spivavtor-large")
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# Paraphrase the sentence: What is the greatest compliment that you ever received from anyone?
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input_text = 'Виправте граматику в цьому реченнi: Дякую за iнформацiю! ми з Надiєю саме вийшли з дому'
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inputs = tokenizer.encode(input_text, return_tensors="pt")
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output = model.generate(inputs, max_length=256)
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