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Create README.md

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+ # Paraphrase Generation with IndoT5 Base
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+
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+ IndoT5-base trained on translated PAWS.
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+
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+ ## Model in action
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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("Wikidepia/IndoT5-base-paraphrase")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-base-paraphrase")
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+
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+ sentence = "Anak anak melakukan piket kelas agar kebersihan kelas terjaga"
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+ text = "paraphrase: " + sentence + " </s>"
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+
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+ encoding = tokenizer(text, padding='longest', return_tensors="pt")
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+ outputs = model.generate(
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+ input_ids=encoding["input_ids"], attention_mask=encoding["attention_mask"],
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+ max_length=512,
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+ do_sample=True,
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+ top_k=200,
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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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+ )