Update README.md
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README.md
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@@ -58,7 +58,7 @@ tokenizer = AutoTokenizer.from_pretrained("grammarly/spivavtor-xxl")
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model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/spivavtor-xxl")
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# Paraphrase the sentence: What is the greatest compliment that you ever received from anyone?
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input_text = '
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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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model = AutoModelForSeq2SeqLM.from_pretrained("grammarly/spivavtor-xxl")
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# Paraphrase the sentence: What is the greatest compliment that you ever received from anyone?
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input_text = 'Перефразуйте речення: Який найкращий комплімент, який ти отримував від будь-кого?'
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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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