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Create README.md

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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+
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+ GED_TOKENIZER = AutoTokenizer.from_pretrained("zuu/grammar-error-correcter")
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+ GED_MODEL = AutoModelForSeq2SeqLM.from_pretrained("zuu/grammar-error-correcter")
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+
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+ # Incorrect text
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+ incorrect_text = 'young children should avoid exposure to contageous disease'
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+
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+ # Tokenize text
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+ tokens= GED_TOKENIZER(
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+ [incorrect_text],
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+ padding=True,
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+ return_tensors='pt'
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+ )
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+
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+ corrections = GED_MODEL.generate(**tokens)
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+ corrections = GED_TOKENIZER.batch_decode(
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+ corrections,
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+ skip_special_tokens=True
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+ )
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+ corrections